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| biosig ai sciences: Artificial Intelligence (AI) in Forensic Sciences Zeno Geradts, Katrin Franke, 2023-08-28 ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series ‘Forensic Science in Focus’, Artificial Intelligence (AI) in Forensic Sciences includes information on: Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies. |
| biosig ai sciences: AI and Deep Learning in Biometric Security Gaurav Jaswal, Vivek Kanhangad, Raghavendra Ramachandra, 2021-03-22 This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security. |
| biosig ai sciences: Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications Mina Farmanbar, Maria Tzamtzi, Ajit Kumar Verma, Antorweep Chakravorty, 2024-02-24 This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice. Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, natural language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements. Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements. Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation. Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society. Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements. Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments. |
| biosig ai sciences: AI-Enabled Smart Healthcare Using Biomedical Signals Chaurasiya, Rahul Kumar, Agrawal, Dheeraj, Pachori, Ram Bilas, 2022-05-27 Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians. |
| biosig ai sciences: Advanced AI Techniques and Applications in Bioinformatics Loveleen Gaur, Arun Solanki, Samuel Fosso Wamba, Noor Zaman Jhanjhi, 2021-10-17 The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers |
| biosig ai sciences: Biomedical Engineering Systems and Technologies Ana Fred, Joaquim Filipe, Hugo Gamboa, 2010-03-22 This book contains the best papers of the Second International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2009), organized by the Institute for Systems and Technologies of Information Control and Communi- tion (INSTICC), technically co-sponsored by the IEEE Engineering in Medicine and Biology Society (EMB), IEEE Circuits and Systems Society (CAS) and the Workflow Management Coalition (WfMC), in cooperation with AAAI and ACM SIGART. The purpose of the International Joint Conference on Biomedical Engineering S- tems and Technologies is to bring together researchers and practitioners, including engineers, biologists, health professionals and informatics/computer scientists, int- ested in both theoretical advances and applications of information systems, artificial intelligence, signal processing, electronics and other engineering tools in knowledge areas related to biology and medicine. BIOSTEC is composed of three co-located conferences; each specializes in one of the aforementioned main knowledge areas, namely: • BIODEVICES (International Conference on Biomedical Electronics and - vices) focuses on aspects related to electronics and mechanical engineering, - pecially equipment and materials inspired from biological systems and/or - dressing biological requirements. Monitoring devices, instrumentation sensors and systems, biorobotics, micro-nanotechnologies and biomaterials are some of the technologies addressed at this conference. |
| biosig ai sciences: Security and Artificial Intelligence Lejla Batina, Thomas Bäck, Ileana Buhan, Stjepan Picek, 2022-04-07 AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised. |
| biosig ai sciences: AI 2021: Advances in Artificial Intelligence Guodong Long, Xinghuo Yu, Sen Wang, 2022-03-18 This book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis. *The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic. |
| biosig ai sciences: Machine Learning for Cyber Security Yuan Xu, Hongyang Yan, Huang Teng, Jun Cai, Jin Li, 2023-01-12 The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions. |
| biosig ai sciences: Digital Forensics and Cyber Crime Investigation Ahmed A. Abd El-Latif, Lo'ai Tawalbeh, Manoranjan Mohanty, Brij B. Gupta, Konstantinos E. Psannis, 2024-10-07 In the ever-evolving landscape of digital forensics and cybercrime investigation, staying ahead with the latest advancements is not just advantageous—it’s imperative. Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions serves as a crucial bridge, connecting the dots between the present knowledge base and the fast-paced developments in this dynamic field. Through a collection of meticulous research and expert insights, this book dissects various facets of digital forensics and cyber security, providing readers with a comprehensive look at current trends and future possibilities. Distinguished by its in-depth analysis and forward-looking perspective, this volume sets itself apart as an indispensable resource for those keen on navigating the complexities of securing the digital domain. Key features of this book include: Innovative Strategies for Web Application Security: Insights into Moving Target Defense (MTD) techniques Blockchain Applications in Smart Cities: An examination of how blockchain technology can fortify data security and trust Latest Developments in Digital Forensics: A thorough overview of cutting-edge techniques and methodologies Advancements in Intrusion Detection: The role of Convolutional Neural Networks (CNN) in enhancing network security Augmented Reality in Crime Scene Investigations: How AR technology is transforming forensic science Emerging Techniques for Data Protection: From chaotic watermarking in multimedia to deep learning models for forgery detection This book aims to serve as a beacon for practitioners, researchers, and students who are navigating the intricate world of digital forensics and cyber security. By offering a blend of recent advancements and speculative future directions, it not only enriches the reader’s understanding of the subject matter but also inspires innovative thinking and applications in the field. Whether you’re a seasoned investigator, an academic, or a technology enthusiast, Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions promises to be a valuable addition to your collection, pushing the boundaries of what’s possible in digital forensics and beyond. |
| biosig ai sciences: Computer Analysis of Human Behavior Albert Ali Salah, Theo Gevers, 2011-10-07 This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in the field; presents a thorough introduction to the fundamental topics of human behavior analysis; investigates methods for activity recognition, including gait and posture analysis, hand gesture analysis, and semantics of human behavior in image sequences; provides an accessible psychological treatise on social signals for the analysis of social behaviors; discusses voice and speech analysis, combined audiovisual cues, and social interactions and group dynamics; examines applications in different research fields; each chapter concludes with review questions, a summary of the topics covered, and a glossary. |
| biosig ai sciences: Electromagnetic Fields in Biology and Medicine Marko S. Markov, 2015-03-02 Through a biophysical approach, Electromagnetic Fields in Biology and Medicine provides state-of-the-art knowledge on both the biological and therapeutic effects of Electromagnetic Fields (EMFs). The reader is guided through explanations of general problems related to the benefits and hazards of EMFs, step-by-step engineering processes, and basic r |
| biosig ai sciences: Deep Learning for Robot Perception and Cognition Alexandros Iosifidis, Anastasios Tefas, 2022-02-04 Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis |
| biosig ai sciences: Machine Learning in Signal Processing Sudeep Tanwar, Anand Nayyar, Rudra Rameshwar, 2021-12-09 Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering. |
| biosig ai sciences: Handbook of Digital Face Manipulation and Detection Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch, 2022-02-21 This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area. |
| biosig ai sciences: Intelligent Interactive Multimedia Systems for e-Healthcare Applications Amit Kumar Tyagi, Ajith Abraham, Arturas Kaklauskas, 2021-11-15 This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications. |
| biosig ai sciences: Advances in Communication and Computational Technology Gurdeep Singh Hura, Ashutosh Kumar Singh, Lau Siong Hoe, 2020-08-13 This book presents high-quality peer-reviewed papers from the International Conference on Advanced Communication and Computational Technology (ICACCT) 2019 held at the National Institute of Technology, Kurukshetra, India. The contents are broadly divided into four parts: (i) Advanced Computing, (ii) Communication and Networking, (iii) VLSI and Embedded Systems, and (iv) Optimization Techniques.The major focus is on emerging computing technologies and their applications in the domain of communication and networking. The book will prove useful for engineers and researchers working on physical, data link and transport layers of communication protocols. Also, this will be useful for industry professionals interested in manufacturing of communication devices, modems, routers etc. with enhanced computational and data handling capacities. |
| biosig ai sciences: Advances in Signal Processing and Intelligent Recognition Systems Sabu M. Thampi, Rajesh M. Hegde, Sri Krishnan, Jayanta Mukhopadhyay, Vipin Chaudhary, Oge Marques, Selwyn Piramuthu, Juan M. Corchado, 2020-04-30 This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition. |
| biosig ai sciences: Advances in Intelligent Information Hiding and Multimedia Signal Processing, Volume 2 Shih-Pang Tseng, Anand Paul, Jeng-Shyang Pan, Margarita Favorskaya, 2025-04-27 This book presents selected papers from the 19th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 11th International Conference on Orange Technology, Applications, and Tools, held on December 5–7, 2023, in Daegu, South Korea. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications. |
| biosig ai sciences: Digital Forensics and Watermarking Xianfeng Zhao, Alessandro Piva, Pedro Comesaña-Alfaro, 2022-01-20 This volume constitutes the proceedings of the 20th International Workshop on Digital Forensics and Watermarking, IWDW 2021, held in Beijing, China, in November 2021. The 18 full papers in this volume were carefully reviewed and selected from 32 submissions. The are categorized in the following topical headings: Forensics and Security Analysis; Watermarking and Steganology. |
| biosig ai sciences: Computer Vision – ECCV 2024 Workshops Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi, 2025-06-25 The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online. |
| biosig ai sciences: Designing VR Stressors for Occupational Simulation Training in the ICU Context Sebastian Weiß, 2024-10-25 Dissertationsschrift auf Englisch über die Entwicklung und nachfolgende quantitative Evaluierung von VR - basierten Stresstrainings für IntensivpflegerInnen |
| biosig ai sciences: Handbook of Digital Face Manipulation and Detection Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch, 2022-01-31 This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area. |
| biosig ai sciences: Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry Patricia Ordonez de Pablos, Xi Zhang, 2023-05-30 Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry discusses innovative conceptual frameworks, tools and solutions to tackle the challenges of mitigating major disruption caused by COVID-19 in the healthcare sector and society. It emphasizes global case studies and empirical studies, providing a comprehensive view of best lessons on digital tools to manage the health crisis. The book focuses on the role of advances in digital and collaborative technologies to offer rapid and effective tools for better health solutions for new and emerging health problems. Researchers, students, policymakers and members of the biomedical and medical fields will find this information invaluable. Specially, it pays attention to how information technologies help us in the current global health emergency and the coronavirus epidemic response, gaining more understanding of the new coronavirus and helping to contain the outbreak. In addition, it explores how these new tools and digital health solutions can support the economic and social recovery in the post-pandemic world. - Discusses best experiences, tools and solutions provided by IT to solve the global disruption caused by the COVID-19 pandemic in societies, healthcare infrastructures and health workers - Presents case studies with experiences of applications of digital healthcare solutions from around the world - Encompasses the point of views of renown researchers and academics globally that are working collaboratively to explore new views and frameworks to develop solutions for emergent problems in the healthcare sector |
| biosig ai sciences: Astrobiology Gerda Horneck, Christa Baumstark-Khan, 2012-12-06 How did life originate in the universe? How did it all start after the creation of matter and the formation of elements in the stars? What are the pathways from the first organic molecules in space to the evolution of complex life forms on Earth and perhaps elsewhere? And how will it all end? The Universe itself sets the stage for the very interdisciplinary field of astrobiology that attempts to answer such questions, the central one being: What is the (cosmic) recipe for life? Currently there are only very few known elements in this vast mosaic. This book bridges a gap in the literature by bringing together leading specialists from different backgrounds who lecture on their fields, with close relevance to astrobiology, providing tutorial accounts that lead all the way to the forefront of research. The book will thus be useful for students, lecturers and reseachers alike. |
| biosig ai sciences: The Philosophy and Science of Manilius Willard Earl Eames Batson, 1934 |
| biosig ai sciences: KI 2010: Advances in Artificial Intelligence Rüdiger Dillmann, Jürgen Beyerer, Uwe D. Hanebeck, Tanja Schultz, 2010-09-20 The 33rd Annual German Conference on Arti?cial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthropomatic Systems.” In this volume you will ?nd the keynote paper and 49 papers of oral and poster presentations. The papers were selected from 73 submissions, resulting in an acceptance rate of 67%. As usual at the KI conferences, two entire days were allocated for targeted workshops—seventhis year—andone tutorial. The workshopand tutorialma- rials are not contained in this volume, but the conference website, www.ki2010.kit.edu,will provide information and references to their contents. Recent trends in AI research have been focusing on anthropomatic systems, which address synergies between humans and intelligent machines. This trend is emphasized through the topics of the overall conference program. They include learning systems, cognition, robotics, perception and action, knowledge rep- sentation and reasoning, and planning and decision making. Many topics deal with uncertainty in various scenarios and incompleteness of knowledge. Summarizing, KI 2010 provides a cross section of recent research in modern AI methods and anthropomatic system applications. We are very grateful that Jos ́ edel Mill ́ an, Hans-Hellmut Nagel, Carl Edward Rasmussen, and David Vernon accepted our invitation to give a talk. |
| biosig ai sciences: Brain-Computer Interfaces Desney S. Tan, Anton Nijholt, 2010-06-10 For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future. |
| biosig ai sciences: Ear Biometrics in 2D and 3D Surya Prakash, Phalguni Gupta, 2015-03-21 This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. Among the various physiological traits, the reasons for the ear to gain much attention in recent years are many folds. It has been found to be a reliable biometrics for human verification and identification. Ears are remarkably consistent and unlike face, it does not change shape with different expressions or age, and remain fixed in the middle of the side of the head against a predictable background. The book contains figures, tables and plots to illustrate the techniques in an easy and lucid manner. The book also provides an extensive literature on the subject, where readers have the benefit of receiving all the relevant material at one place in a very comprehensive manner. This book caters students, academics, researchers, practitioners who are interested in the field of Ear Biometrics and its applications in face recognition and security. |
| biosig ai sciences: Insights in computational neuroscience Si Wu, Misha Tsodyks, 2023-04-11 |
| biosig ai sciences: Graph-Based Semi-Supervised Learning Amarnag Subramanya, Partha Pratim Talukdar, 2022-05-31 While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many applications in speech processing, computer vision, natural language processing, and other areas of Artificial Intelligence. Recognizing this promising and emerging area of research, this synthesis lecture focuses on graph-based SSL algorithms (e.g., label propagation methods). Our hope is that after reading this book, the reader will walk away with the following: (1) an in-depth knowledge of the current state-of-the-art in graph-based SSL algorithms, and the ability to implement them; (2) the ability to decide on the suitability of graph-based SSL methods for a problem; and (3) familiarity with different applications where graph-based SSL methods have been successfully applied. Table of Contents: Introduction / Graph Construction / Learning and Inference / Scalability / Applications / Future Work / Bibliography / Authors' Biographies / Index |
| biosig ai sciences: Artificial Neural Networks in Pattern Recognition Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin, 2018-08-29 This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter Bounded Rational Decision-Making with Adaptive Neural Network Priors is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| biosig ai sciences: Systems and Computational Biology Ning-Sun Yang, 2011-09-15 Whereas some microarray or bioinformatics scientists among us may have been criticized as doing cataloging research, the majority of us believe that we are sincerely exploring new scientific and technological systems to benefit human health, human food and animal feed production, and environmental protections. Indeed, we are humbled by the complexity, extent and beauty of cross-talks in various biological systems; on the other hand, we are becoming more educated and are able to start addressing honestly and skillfully the various important issues concerning translational medicine, global agriculture, and the environment. The two volumes of this book presents a series of high-quality research or review articles in a timely fashion to this emerging research field of our scientific community. |
| biosig ai sciences: Process Analytics Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu, 2016-03-28 This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios. |
| biosig ai sciences: Pathology of Transplantation René P. Michel, Gerald J. Berry, 2016-09-15 Many pathologists find the interpretation of biopsies and other surgical specimens from solid organ, stem cell and bone marrow transplants challenging. Pathology of Transplantation provides a practical structured and logical approach to the diagnostic interpretation of the range of specimens from patients with solid organ, stem cell and bone marrow transplants, including the assessment of native and donor organs, with emphasis on resolution of pathological and clinico-pathological differential diagnoses including the diverse forms of rejection, recurrent and de novo diseases, drug-induced alterations, infections and other pathologies relevant to the system or tissue. In addition, this provides information on some of the critical clinical consequences of pathological diagnoses and guidelines for interaction and effective communication with transplant clinicians thereby ensuring the best possible care to patients with transplants. Pathology of Transplantation provides a relatively simple but diagnostically comprehensive and practical book that the pathologist will keep on hand and pick up to rapidly find answers in daily practice of transplantation pathology. |
| biosig ai sciences: Extreme Value Theory-Based Methods for Visual Recognition Walter J. Scheirer, 2022-06-01 A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the average. From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms. |
| biosig ai sciences: Social Data Analytics Amin Beheshti, Samira Ghodratnama, Mehdi Elahi, Helia Farhood, 2022-08-01 This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics. |
| biosig ai sciences: The Inferior Colliculus Christoph E. Schreiner, 2005-02-10 The inferior colliculus is essential for hearing. Connecting the auditory brain stem to sensory, motor, and limbic systems, the inferior colliculus is a critical midbrain station for auditory processing. Winer and Schreiner's The Inferior Colliculus is the first critical, comprehensive reference presenting the current knowledge of the inferior colliculus from a variety of perspectives, including anatomical, physiological, developmental, neurochemical, biophysical, neuroethological and clinical vantage points. Written by leading researchers in the field, the book is an ideal introduction to the inferior colliculus and central auditory processing for clinicians, otolaryngologists, graduate and postgraduate research workers in the auditory and other sensory-motor systems. About the Editors: Jeffery A. Winer is Professor of Neurobiology in the Department of Molecular and Cell Biology at the University of California at Berkeley. Christoph E. Schreiner is Professor and Vice-Chair in the Department of Otolaryngology and Member of the Coleman Memorial Laboratory and the W. M. Keck Center for Integrative Neurosciences at the University of California School of Medicine at San Francisco. |
| biosig ai sciences: Artificial Intelligence for Materials Science Yuan Cheng, Tian Wang, Gang Zhang, 2021-03-26 Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers. |
| biosig ai sciences: Enhanced Living Environments Ivan Ganchev, Nuno M. Garcia, Ciprian Dobre, Constandinos X. Mavromoustakis, Rossitza Goleva, 2019-01-18 This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area. |
BioSig Technologies, Inc. (BSGM)
BioSig is an advanced signal processing company delivering unmatched accuracy and precision to intracardiac signal visualization, and enhancing the treatment of arrhythmias. Learn more …
About BioSig :: BioSig Technologies, Inc. (BSGM)
BioSig Technologies is a medical technology company focused on deciphering the body’s electrical signals, starting with heart rhythms. Our technology, the PURE EP™ Platform, …
Press Releases :: BioSig Technologies, Inc. (BSGM)
BioSig Technologies, Inc. Signs Definitive Share Exchange Agreement with Streamex Exchange Corp. to Launch First-Mover Real-World Asset (RWA) Tokenization Company Bringing …
Investor Relations :: BioSig Technologies, Inc. (BSGM)
Jun 9, 2017 · BioSig Technologies is a medical device company commercializing a proprietary technology platform designed to improve the $8 billion electrophysiology (EP) marketplace. By …
BioSig Issues Letter to Shareholders Detailing Technology …
Dec 6, 2023 · Data demonstrating BioSig’s capacity to drive clinical excellence. Research and development for an artificial intelligence (AI) medical device platform. Robust intellectual …
THE PURE EP™ PLATFORM - BioSig Technologies, Inc.
Frequency bandwidth comparative testing using a novel signal processing platform in a controlled bench top setting. ©BioSig Technologies, Inc. Rev A2.1.01 2020[27]. 2. Tabaja, C., et al. …
News & Media :: BioSig Technologies, Inc. (BSGM)
Jun 9, 2025 · Los Angeles, CA & Vancouver, BC, June 09, 2025 (GLOBE NEWSWIRE) -- BioSig Technologies, Inc. (Nasdaq: BSGM) ("BioSig”), which acquired Streamex Exchange …
BioSig Technologies’ Common Stock to Resume Trading on the …
BioSig Technologies is a medical technology company focused on deciphering the body’s electrical signals, starting with heart rhythms. By leveraging a first of its kind software, we …
BioSig & Streamex Appoint Parcl Co-Founders Trevor Bacon and …
Jun 9, 2025 · Trevor Bacon and Kellan Grenier join a distinguished group of strategic advisors at BioSig and Streamex, each bringing world-class experience to the company’s mission of …
BioSig's PURE EP™ Platform Debuts New Automated Features …
Aug 22, 2023 · “With these new features, we enhance PURE EP™’s existing capabilities, providing electrophysiologists with pure, unadulterated cardiac signals in real time,” said …
BioSig Technologies, Inc. (BSGM)
BioSig is an advanced signal processing company delivering unmatched accuracy and precision to intracardiac signal visualization, and enhancing the treatment of arrhythmias. Learn more about …
About BioSig :: BioSig Technologies, Inc. (BSGM)
BioSig Technologies is a medical technology company focused on deciphering the body’s electrical signals, starting with heart rhythms. Our technology, the PURE EP™ Platform, delivers new levels …
Press Releases :: BioSig Technologies, Inc. (BSGM)
BioSig Technologies, Inc. Signs Definitive Share Exchange Agreement with Streamex Exchange Corp. to Launch First-Mover Real-World Asset (RWA) Tokenization Company Bringing …
Investor Relations :: BioSig Technologies, Inc. (BSGM)
Jun 9, 2017 · BioSig Technologies is a medical device company commercializing a proprietary technology platform designed to improve the $8 billion electrophysiology (EP) marketplace. By …
BioSig Issues Letter to Shareholders Detailing Technology …
Dec 6, 2023 · Data demonstrating BioSig’s capacity to drive clinical excellence. Research and development for an artificial intelligence (AI) medical device platform. Robust intellectual …
THE PURE EP™ PLATFORM - BioSig Technologies, Inc.
Frequency bandwidth comparative testing using a novel signal processing platform in a controlled bench top setting. ©BioSig Technologies, Inc. Rev A2.1.01 2020[27]. 2. Tabaja, C., et al. (2023, …
News & Media :: BioSig Technologies, Inc. (BSGM)
Jun 9, 2025 · Los Angeles, CA & Vancouver, BC, June 09, 2025 (GLOBE NEWSWIRE) -- BioSig Technologies, Inc. (Nasdaq: BSGM) ("BioSig”), which acquired Streamex Exchange Corporation …
BioSig Technologies’ Common Stock to Resume Trading on the …
BioSig Technologies is a medical technology company focused on deciphering the body’s electrical signals, starting with heart rhythms. By leveraging a first of its kind software, we deliver …
BioSig & Streamex Appoint Parcl Co-Founders Trevor Bacon and …
Jun 9, 2025 · Trevor Bacon and Kellan Grenier join a distinguished group of strategic advisors at BioSig and Streamex, each bringing world-class experience to the company’s mission of …
BioSig's PURE EP™ Platform Debuts New Automated Features in …
Aug 22, 2023 · “With these new features, we enhance PURE EP™’s existing capabilities, providing electrophysiologists with pure, unadulterated cardiac signals in real time,” said Zachary Koch, …
