Advertisement
| usc matlab: Automatic Control Systems EduGorilla Prep Experts, 2024-09-01 EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels. |
| usc matlab: ICT Analysis and Applications Simon Fong, Nilanjan Dey, Amit Joshi, 2022-11-05 This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective. |
| usc matlab: Undocumented Secrets of MATLAB-Java Programming Yair M. Altman, 2011-12-05 For a variety of reasons, the MATLAB-Java interface was never fully documented. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times the number of programmers and programming resources as MATLAB. Also unfortunate is the popular claim that while MATLAB is a fine programming platform for proto |
| usc matlab: Intelligent Computing Kohei Arai, 2021-07-12 This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject. |
| usc matlab: Biomedical Technology Resources Barry Leonard, 1998-08 Promotes access to a network of biomedical technology resource centers throughout the nation. These centers make state-of-the-art technologies & methods available to thousands of biomedical investigators each year. The directory is organized into scientific areas: biomedical computing, biochemical materials, biomedical engineering, non-invasive imaging & spectroscopy, & cellular & molecular structure & function. Each entry includes the principal investigator & control person, the research being conducted, & capabilities of the resource that are available to outside investigators. |
| usc matlab: Air Dispersion Modeling Alex De Visscher, 2013-09-26 A single reference to all aspects of contemporary air dispersion modeling The practice of air dispersion modeling has changed dramatically in recent years, in large part due to new EPA regulations. Current with the EPA's 40 CFR Part 51, this book serves as a complete reference to both the science and contemporary practice of air dispersion modeling. Throughout the book, author Alex De Visscher guides readers through complex calculations, equation by equation, helping them understand precisely how air dispersion models work, including such popular models as the EPA's AERMOD and CALPUFF. Air Dispersion Modeling begins with a primer that enables readers to quickly grasp basic principles by developing their own air dispersion model. Next, the book offers everything readers need to work with air dispersion models and accurately interpret their results, including: Full chapter dedicated to the meteorological basis of air dispersion Examples throughout the book illustrating how theory translates into practice Extensive discussions of Gaussian, Lagrangian, and Eulerian air dispersion modeling Detailed descriptions of the AERMOD and CALPUFF model formulations This book also includes access to a website with Microsoft Excel and MATLAB files that contain examples of air dispersion model calculations. Readers can work with these examples to perform their own calculations. With its comprehensive and up-to-date coverage, Air Dispersion Modeling is recommended for environmental engineers and meteorologists who need to perform and evaluate environmental impact assessments. The book's many examples and step-by-step instructions also make it ideal as a textbook for students in the fields of environmental engineering, meteorology, chemical engineering, and environmental sciences. |
| usc matlab: Biomedical Technology Resources , 1996 |
| usc matlab: From raw MEG/EEG to publication: How to perform MEG/EEG group analysis with free academic software Vladimir Litvak, Arnaud Delorme, Francois Tadel, Alexandre Gramfort, Robert Oostenveld, Srikantan S Nagarajan, 2023-06-07 |
| usc matlab: Federal Evaluations , Contains an inventory of evaluation reports produced by and for selected Federal agencies, including GAO evaluation reports that relate to the programs of those agencies. |
| usc matlab: 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. |
| usc matlab: Advances in Energy Materials and Environment Engineering Chong Kok Keong, 2022-11-23 This new book, Advances in Energy Materials and Environment Engineering, covers the timely issue of green applications of materials. It covers the diverse usages of carbon nanotubes for energy, for power, for the protection of the environment, and for new energy applications. The diverse topics in the volume include energy saving technologies, renewable energy, clean energy development, nuclear engineering and hydrogen energy, advanced power semiconductors, power systems and energy and much more. This timely book addresses the need of the hour and will prove to be valuable for environmentally conscious industry professionals, faculty and students, and researchers in materials science, engineering, and environment with interest in energy materials. |
| usc matlab: Federal Program Evaluations , 1981 Contains an inventory of evaluation reports produced by and for selected Federal agencies, including GAO evaluation reports that relate to the programs of those agencies. |
| usc matlab: Commerce Business Daily , 1998-08 |
| usc matlab: Linear Systems Theory João P. Hespanha, 2018-02-13 A fully updated textbook on linear systems theory Linear systems theory is the cornerstone of control theory and a well-established discipline that focuses on linear differential equations from the perspective of control and estimation. This updated second edition of Linear Systems Theory covers the subject's key topics in a unique lecture-style format, making the book easy to use for instructors and students. João Hespanha looks at system representation, stability, controllability and state feedback, observability and state estimation, and realization theory. He provides the background for advanced modern control design techniques and feedback linearization and examines advanced foundational topics, such as multivariable poles and zeros and LQG/LQR. The textbook presents only the most essential mathematical derivations and places comments, discussion, and terminology in sidebars so that readers can follow the core material easily and without distraction. Annotated proofs with sidebars explain the techniques of proof construction, including contradiction, contraposition, cycles of implications to prove equivalence, and the difference between necessity and sufficiency. Annotated theoretical developments also use sidebars to discuss relevant commands available in MATLAB, allowing students to understand these tools. This second edition contains a large number of new practice exercises with solutions. Based on typical problems, these exercises guide students to succinct and precise answers, helping to clarify issues and consolidate knowledge. The book's balanced chapters can each be covered in approximately two hours of lecture time, simplifying course planning and student review. Easy-to-use textbook in unique lecture-style format Sidebars explain topics in further detail Annotated proofs and discussions of MATLAB commands Balanced chapters can each be taught in two hours of course lecture New practice exercises with solutions included |
| usc matlab: VHDL Image Processing U Chuks, 2011-01-16 This book provides a quick rundown of VHDL for image processing and gets the reader coding immediately by dealing with the essential basics of coding in VHDL for FPGAs. |
| usc matlab: Clinical Magnetoencephalography and Magnetic Source Imaging Andrew C. Papanicolaou, 2009-08-13 The first volume on clinical magnetoencephalography and magnetic source imaging, measuring the magnetic fields generated by neuronal activity in the brain. |
| usc matlab: MEG Peter Hansen, Morten Kringelbach, Riitta Salmelin, 2010-06-21 Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function. In this comprehensive introduction to MEG, Peter Hansen, Morten Kringelbach, and Riitta Salmelin have brought together the leading researchers to provide the basic tools for planning and executing MEG experiments, as well as analyzing and interpreting the resulting data. Chapters on the basics describe the fundamentals of MEG and its instrumentation, and provide guidelines for designing experiments and performing successful measurements. Chapters on data analysis present it in detail, from general concepts and assumptions to analysis of evoked responses and oscillatory background activity. Chapters on solutions propose potential solutions to the inverse problem using techniques such as minimum norm estimates, spatial filters and beamformers. Chapters on combinations elucidate how MEG can be used to complement other neuroimaging techniques. Chapters on applications provide practical examples of how to use MEG to study sensory processing and cognitive tasks, and how MEG can be used in a clinical setting. These chapters form a complete basic reference source for those interested in exploring or already using MEG that will hopefully inspire them to try to develop new, exciting approaches to designing and analyzing their own studies. This book will be a valuable resource for researchers from diverse fields, including neuroimaging, cognitive neuroscience, medical imaging, computer modelling, as well as for clinical practitioners. |
| usc matlab: Pattern Recognition Katrin Franke, Klaus-Robert Müller, Bertram Nickolay, Ralf Schäfer, 2006-09-11 This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006. The book presents 32 revised full papers and 44 revised poster papers together with 5 invited papers. Topical sections include image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, and more. |
| usc matlab: Emerging Intelligent Computing Technology and Applications De-Shuang Huang, Phalguni Gupta, Xiang Zhang, Prashan Premaratne, 2012-07-05 This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012. The 242 revised full papers presented in the three volumes LNCS 7389, LNAI 7390, and CCIS 304 were carefully reviewed and selected from 753 submissions. The papers in this volume (CCIS 304) are organized in topical sections on Neural Networks; Particle Swarm Optimization and Niche Technology; Kernel Methods and Supporting Vector Machines; Biology Inspired Computing and Optimization; Knowledge Discovery and Data Mining; Intelligent Computing in Bioinformatics; Intelligent Computing in Pattern Recognition; Intelligent Computing in Image Processing; Intelligent Computing in Computer Vision; Intelligent Control and Automation; Knowledge Representation/Reasoning and Expert Systems; Advances in Information Security; Protein and Gene Bioinformatics; Soft Computing and Bio-Inspired Techiques in Real-World Applications; Bio-Inspired Computing and Applications. |
| usc matlab: 17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag 2010 - March 28 - April 1, 2010 Selma Supek, Ana Sušac, 2010-04-07 40th anniversary of medical uses of SQUID th It is my great pleasure and honor to invite you to the 17 International Conference on Biomagnetism – Biomag2010 held in Dubrovnik, Croatia from Sunday, March 28 through Thursday, April 1, 2010. The interdisciplinary field of biomagnetism includes dynamic and evolving SQUID-based technologies offering advanced real-time methods for noninvasive assessments of magnetic signals from the brain, heart and other organs as well as a range of modeling, mathematical and computational methods for functional source localization approaches. Excellent spatial resolution and unique, millisecond, temporal resolution of biomagnetic techniques allow insights into cortical neurodynamics and neurobiological basis of the human brain as well as assessment of heart and other organs functions in health and disease. Biomag2010 will be a great opportunity for an exchange of ideas and presentation of the latest developments in instrumentation, modeling approaches, basic and clinical biomedical studies. We are particularly proud to announce the celebration of the 40th anniversary of the first SQUID-based MCG measurements published on April 1, 1970. Since then ''medical uses of SQUID'' were dynamic and growing, including the most recent developments, in combination with a low field MRI, toward a ''direct neuronal imaging''. Dubrovnik, the host city of the Biomag2010, a jewel on the Adriatic, will be a superb and stimulating setting for both scientific and social aspects of this meeting. I am looking forward to hosting you in Dubrovnik, Croatia in spring of 2010. |
| usc matlab: Models of Visual Attention Using Computational Cognitive Neuroscience in Machine Vision Manjunath R Kounte, 2021-04-28 Vision is the most important of the five human senses, since it provides over 85% of the information our brain receives from the external world. Its main goal is to interpret and to interact with the environments we are living in. In everyday life, humans are capable of perceiving thousands of objects, identifying hundreds of faces, recognizing numerous traffic signs, and appreciating beauty effortlessly. The ease with which humans achieve these tasks is in no way due to the simplicity of the tasks but is a proof of the high degree of development of our vision system. |
| usc matlab: Applied Pharmacometrics Stephan Schmidt, Hartmut Derendorf, 2014-12-01 This comprehensive volume provides an update on the current state of pharmacometrics in drug development. It consists of nineteen chapters all written by leading scientists from the pharmaceutical industry, regulatory agencies and academia. After an introduction of the basic pharmacokinetic and pharmacodynamic concepts of pharmacometrics in drug development, the book presents numerous examples of specific applications that utilize pharmacometrics with modeling and simulations over a variety of therapeutic areas, including pediatrics, diabetes, obesity, infections, psychiatrics, Alzheimer’s disease, and dermatology, among others. The examples illustrate how results from all phases of drug development can be integrated in a more timely and cost-effective process. Applying pharmacometric decision tools during drug development can allow objective, data-based decision making. At the same time, the process can identify redundant or unnecessary experiments as well as some costly clinical trials that can be avoided. In addition to cost saving by expedited development of successful drug candidates, pharmacometrics has an important economic impact in drug product selection. Unsuccessful drug candidates can be identified early and discontinued without expending efforts required for additional studies and allocating limited resources. Hence, pharmacometric modeling and simulation has become a powerful tool to bring new and better medications to the patient at a faster pace and with greater probability of success. |
| usc matlab: Electron Paramagnetic Resonance Investigations of Biological Systems by Using Spin Labels, Spin Probes, and Intrinsic Metal Ions Part B , 2015-10-08 Electron Paramagnetic Resonance Investigations of Biological Systems by Using Spin Labels, Spin Probes, and Intrinsic Metal Ions Part A & B, are the latest volumes in the Methods in Enzymology series, continuing the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers research methods centered on the use of Electron Paramagnetic Resonance (EPR) techniques to study biological structure and function. - Timely contribution that describes a rapidly changing field - Leading researchers in the field - Broad coverage: Instrumentation, basic theory, data analysis, and applications |
| usc matlab: Statistical Methods in Epilepsy Sharon Chiang, Vikram Rao, Marina Vannucci, 2024-03-25 Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis, network analysis, time-series analysis, spectral analysis, spatial statistics, unsupervised and supervised learning, natural language processing, prospective trial design, pharmacokinetic and pharmacodynamic modeling, and randomized clinical trials. Features: Provides a comprehensive introduction to statistical methods employed in epilepsy research Divided into four parts: Basic Processing Methods for Data Analysis; Statistical Models for Epilepsy Data Types; Machine Learning Methods; and Clinical Studies Covers methodological and practical aspects, as well as worked-out examples with R and Python code provided in the online supplement Includes contributions by experts in the field https://github.com/sharon-chiang/Statistics-Epilepsy-Book/ The handbook targets clinicians, graduate students, medical students, and researchers who seek to conduct quantitative epilepsy research. The topics covered extend broadly to quantitative research in other neurological specialties and provide a valuable reference for the field of neurology. |
| usc matlab: Proceeding of Fifth International Conference on Microelectronics, Computing and Communication Systems Vijay Nath, J. K. Mandal, 2021-09-09 This book presents high-quality papers from the Fifth International Conference on Microelectronics, Computing & Communication Systems (MCCS 2020). It discusses the latest technological trends and advances in MEMS and nanoelectronics, wireless communication, optical communication, instrumentation, signal processing, image processing, bioengineering, green energy, hybrid vehicles, environmental science, weather forecasting, cloud computing, renewable energy, RFID, CMOS sensors, actuators, transducers, telemetry systems, embedded systems and sensor network applications. It includes papers based on original theoretical, practical and experimental simulations, development, applications, measurements and testing. The applications and solutions discussed here provide excellent reference material for future product development. |
| usc matlab: Encyclopedia of Environmental Health , 2008-09-01 Environmental health has evolved over time into a complex, multidisciplinary field. Many of the key determinants and solutions to environmental health problems lie outside the direct realm of health and are strongly dependent on environmental changes, water and sanitation, industrial development, education, employment, trade, tourism, agriculture, urbanization, energy, housing and national security. Environmental risks, vulnerability and variability manifest themselves in different ways and at different time scales. While there are shared global and transnational problems, each community, country or region faces its own unique environmental health problems, the solution of which depends on circumstances surrounding the resources, customs, institutions, values and environmental vulnerability. This work contains critical reviews and assessments of environmental health practices and research that have worked in places and thus can guide programs and economic development in other countries or regions. The Encyclopedia of Environmental Health, Five Volume Set seeks to conceptualize the subject more clearly, to describe the best available scientific methods that can be used in characterizing and managing environmental health risks, to extend the field of environmental health through new theoretical perspectives and heightened appreciation of social, economic and political contexts, and to encourage a richer analysis in the field through examples of diverse experiences in dealing with the health-environment interface. The Encyclopedia of Environmental Health contains numerous examples of policy options and environmental health practices that have worked and thus can guide programs in other countries or regions It includes a wide range of tools and strategies that can assist communities and countries in assessing environmental health conditions, monitoring progress of intervention implementation and evaluating outcomes Provides a comprehensive overview of existing knowledge in this emerging field Articles contain summaries and assessments of environmental health practices and research, providing a framework for further research Places environmental health in the broader context of environmental change and related ecological, political, economic, social, and cultural issues |
| usc matlab: Physiological Control Systems Michael C. K. Khoo, 2018-04-12 A guide to common control principles and how they are used to characterize a variety of physiological mechanisms The second edition of Physiological Control Systems offers an updated and comprehensive resource that reviews the fundamental concepts of classical control theory and how engineering methodology can be applied to obtain a quantitative understanding of physiological systems. The revised text also contains more advanced topics that feature applications to physiology of nonlinear dynamics, parameter estimation methods, and adaptive estimation and control. The author—a noted expert in the field—includes a wealth of worked examples that illustrate key concepts and methodology and offers in-depth analyses of selected physiological control models that highlight the topics presented. The author discusses the most noteworthy developments in system identification, optimal control, and nonlinear dynamical analysis and targets recent bioengineering advances. Designed to be a practical resource, the text includes guided experiments with simulation models (using Simulink/Matlab). Physiological Control Systems focuses on common control principles that can be used to characterize a broad variety of physiological mechanisms. This revised resource: Offers new sections that explore identification of nonlinear and time-varying systems, and provide the background for understanding the link between continuous-time and discrete-time dynamic models Presents helpful, hands-on experimentation with computer simulation models Contains fully updated problems and exercises at the end of each chapter Written for biomedical engineering students and biomedical scientists, Physiological Control Systems, offers an updated edition of this key resource for understanding classical control theory and its application to physiological systems. It also contains contemporary topics and methodologies that shape bioengineering research today. |
| usc matlab: Comprehensive Toxicology , 2017-12-01 Comprehensive Toxicology, Third Edition, Fifteen Volume Set discusses chemical effects on biological systems, with a focus on understanding the mechanisms by which chemicals induce adverse health effects. Organized by organ system, this comprehensive reference work addresses the toxicological effects of chemicals on the immune system, the hematopoietic system, cardiovascular system, respiratory system, hepatic toxicology, renal toxicology, gastrointestinal toxicology, reproductive and endocrine toxicology, neuro and behavioral toxicology, developmental toxicology and carcinogenesis, also including critical sections that cover the general principles of toxicology, cellular and molecular toxicology, biotransformation and toxicology testing and evaluation. Each section is examined in state-of-the-art chapters written by domain experts, providing key information to support the investigations of researchers across the medical, veterinary, food, environment and chemical research industries, and national and international regulatory agencies. Thoroughly revised and expanded to 15 volumes that include the latest advances in research, and uniquely organized by organ system for ease of reference and diagnosis, this new edition is an essential reference for researchers of toxicology. Organized to cover both the fundamental principles of toxicology and unique aspects of major organ systems Thoroughly revised to include the latest advances in the toxicological effects of chemicals on the immune system Features additional coverage throughout and a new volume on toxicology of the hematopoietic system Presents in-depth, comprehensive coverage from an international author base of domain experts |
| usc matlab: Brain Plasticity Following Sensory Loss: From Basic Mechanisms to Therapy Ron Kupers, Maurice Ptito, 2023-12-04 |
| usc matlab: Uncertain Rule-Based Fuzzy Systems Jerry M. Mendel, 2017-05-17 The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. |
| usc matlab: First World Conference on Structural Control , 1994 |
| usc matlab: Proceedings of Ninth International Congress on Information and Communication Technology Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi, 2024-12-17 This book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held in London, on February 19–22, 2024. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers working on ICT, the book offers an asset for young researchers involved in advanced studies. The work is presented in ten volumes. |
| usc matlab: Two Essays on Inflation Selahattin İmrohoroğlu, 1988 |
| usc matlab: Advancing Our Understanding of Structure and Function in the Brain: Developing Novel Approaches for Network Inference and Emergent Phenomena Chris G. Antonopoulos, Nicolás Rubido, Antonio Batista, Murilo S. Baptista, 2021-02-09 |
| usc matlab: Scholarly Information Centers in ARL Libraries , 1991 |
| usc matlab: Computer Vision -- ACCV 2014 Daniel Cremers, Ian Reid, Hideo Saito, Ming-Hsuan Yang, 2015-04-15 The five-volume set LNCS 9003--9007 constitutes the thoroughly refereed post-conference proceedings of the 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014. The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3. |
| usc matlab: 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. |
| usc matlab: Optimization Methods in Finance Gerard Cornuejols, Reha Tütüncü, 2006-12-21 Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses. |
| usc matlab: Artificial Intelligence and Big Data for Value-Based Care Md. Mohaimenul Islam, Ming-Chin Lin, Abeer Alsadoon, 2023-03-01 |
| usc matlab: Joint 9th IFSA World Congress and 20th NAFIPS International Conference Michael H. Smith, W. A. Gruver, Lawrence O. Hall, 2001 |
University of Southern California
Jun 3, 2025 · At USC, we are defining conversations, influencing policy and creating a healthier and more sustainable future for all. Our students, faculty and alumni are making an impact in …
University of South Carolina
USC News & Events; Recent Stories; In the News; Inside Carolina; Carolinian; University Events
University of Southern California - Wikipedia
The University of Southern California (USC, SC, or Southern Cal) is a private research university in Los Angeles, California, United States. Founded in 1880 by Robert M. Widney, it is the …
The University - USC
At USC, one of the best colleges in the U.S., you'll work with leading experts and supportive faculty to build your path to success. Tap into USC's dynamic, global community as you …
Undergraduate Admission - Undergraduate Admission
Find your path to success at USC with 150+ majors & a vibrant community of 21K students. Explore our application process & academic programs. Receive support from our dedicated …
First-Year Students - Undergraduate Admission
At USC, incoming first-year students are selected from more than 70,000+ talented applicants each year. Apply Early Action or Regular Decision, explore academic programs, scholarships …
Graduate Admission - Graduate Admission
Learn more about USC’s world-class graduate programs, our graduate student resources, the application process, and additional application requirements for international students. Submit …
Prospective Students - Undergraduate Admission
Continually ranked among the top universities in the country, USC prepares undergraduate students to become leaders and innovators across a broad range of disciplines, and graduates …
Admission Center - Undergraduate Admission
Continually ranked among the top universities in the country, USC prepares undergraduate students to become leaders and innovators across a broad range of disciplines, and graduates …
Putting Students First - USC
6 days ago · USC President Carol Folt cheering on the Trojans during a clash against rivals Notre Dame in 2024. (USC Athletics Photo/John McGillen) Student-athletes on USC’s men’s and …
University of Southern California
Jun 3, 2025 · At USC, we are defining conversations, influencing policy and creating a healthier and more sustainable future for all. Our students, faculty and alumni are making an impact in …
University of South Carolina
USC News & Events; Recent Stories; In the News; Inside Carolina; Carolinian; University Events
University of Southern California - Wikipedia
The University of Southern California (USC, SC, or Southern Cal) is a private research university in Los Angeles, California, United States. Founded in 1880 by Robert M. Widney, it is the …
The University - USC
At USC, one of the best colleges in the U.S., you'll work with leading experts and supportive faculty to build your path to success. Tap into USC's dynamic, global community as you …
Undergraduate Admission - Undergraduate Admission
Find your path to success at USC with 150+ majors & a vibrant community of 21K students. Explore our application process & academic programs. Receive support from our dedicated …
First-Year Students - Undergraduate Admission
At USC, incoming first-year students are selected from more than 70,000+ talented applicants each year. Apply Early Action or Regular Decision, explore academic programs, scholarships …
Graduate Admission - Graduate Admission
Learn more about USC’s world-class graduate programs, our graduate student resources, the application process, and additional application requirements for international students. Submit …
Prospective Students - Undergraduate Admission
Continually ranked among the top universities in the country, USC prepares undergraduate students to become leaders and innovators across a broad range of disciplines, and graduates …
Admission Center - Undergraduate Admission
Continually ranked among the top universities in the country, USC prepares undergraduate students to become leaders and innovators across a broad range of disciplines, and graduates …
Putting Students First - USC
6 days ago · USC President Carol Folt cheering on the Trojans during a clash against rivals Notre Dame in 2024. (USC Athletics Photo/John McGillen) Student-athletes on USC’s men’s and …
