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| tamil computer: Computer Application in Business ( Tamil Nadu) R Parameswaran, 2008 It's a great pleasure in presenting this fifth thoroughly revised edition of the book on Computer Applications in Business .In this revised edition,the book includes Operating System,E-Commerece & Internet,System Analysis & Design,Computer based Information System and Database. |
| tamil computer: 11th Standard Computer Science - English Medium - Questions and Answers - Tamil Nadu State Board Syllabus Mukil E Publishing And Solutions Pvt Ltd, 2021-07-09 11th Standard Computer Science - English Medium - Tamil Nadu State Board - solutions, guide For the first time in Tamil Nadu, Technical books are available as ebooks. Students and Teachers, make use of it. |
| tamil computer: Tamil Nadu, Human Development Report Social Science Press Staff, 2003 This is Tamil Nadu's first Human Development Report. Tamil Nadu has fared very well in human development among the States in India. It needs to be noted, however, that there are vast variations in the indicators of Human development within the State itself. Factors contributing to human development are disaggregated in this Report, and analysed at the district level. This will enable readers to understand the regional disparities in Tamil Nadu and the reasons behind them. The Report not only puts within one cover all the various aspects of human development in Tamil Nadu but also seeks to explain why the State has fared well in certain areas and not in others. It also highlights the policy interventions that will be required to correct the imbalances. |
| tamil computer: A Perspective in Theoretical Computer Science Raghavan Narasimhan, 1989 This volume consists of invited papers written by eminent researchers working in the areas of theoretical computer science. The contents of the papers reflect the current trend of research being carried out in each of the areas. Some of the areas featured are petri-nets, distributed systems, map-generating systems, Lindenmayer systems, logic, cryptography, graph grammars, probabilistic automata, array grammars and pattern recognition. Many of these areas contain open problems and it is hoped that younger research workers will be motivated to work on them. In addition, some of the models designed, constructed and presented are suitable for practical applications such as in computer graphics, cryptography and distributed computing. |
| tamil computer: Tamil Computing Dr. R. Ponnusamy, 2024-04-29 This book aims to outline current Tamil Computing technologies available around us in the present context to all participants like students, academicians, researchers and others who are interested in this field. Most of the books available in the market deal with Natural Language Processing, specifically English Language Processing. Therefore, the author hopes this book will be of utmost use to the undergraduate, postgraduate and researchers. This book provides an overall picture of Tamil Computing, covering different aspects. Specifically, starting with the basics of Tamil, Tamil Computing, Coding standards, fonts, keyboards, issues related to it, morphology, phonology, syntax, semantics and pragmatics of Tamil, Tools and resources and applications of Tamil Computing in detail. The purpose of this book is also to give an insight into Tamil Handwritten character recognition and Speech processing in detail. Automatic Speech Recognition in one of the critical issues in any language. Recognizing handwritten characters using a machine is necessary in today's modern world. A computer system should be intelligent enough to receive and interpret the handwritten input. These two aspects are explained in detail. This book elaborates on the existing corporate packages like MS-Office and its usage in Tamil, Database Processing and open Tamil. The book also explains input-outputting methods in detail with simple python programs. The use of the MS Windows Operating System is widespread worldwide in different languages. This book describes the practices of customization of MS Windows software for Tamil. Usage of the MS Windows Operating System is famous worldwide in other languages. This book has also added details concerning Indic Libraries and Large Language Models. |
| tamil computer: A Reference Grammar of Classical Tamil Poetry V. S. Rajam, 1992 A reference tool for those who seek an understanding of the structure of classical Tamil poetry. This poetry reflects indigenous literary and cultural traditions of southern India, and therefore, a study of it is imperative for obtaining a balanced view of India's past and present cultures. The language which produced this poetry, Tamil, is the only living language of modern India that has an uninterrupted history spanning more than two millennia, and therefore, a study of it becomes even more crucial for a thorough understanding of India's linguistic complexity. Includes a bibliography. |
| tamil computer: Handbook of Universities Ashish Kumar, 2006 The Most Authentic Source Of Information On Higher Education In India The Handbook Of Universities, Deemed Universities, Colleges, Private Universities And Prominent Educational & Research Institutions Provides Much Needed Information On Degree And Diploma Awarding Universities And Institutions Of National Importance That Impart General, Technical And Professional Education In India. Although Another Directory Of Similar Nature Is Available In The Market, The Distinct Feature Of The Present Handbook, That Makes It One Of Its Kind, Is That It Also Includes Entries And Details Of The Private Universities Functioning Across The Country.In This Handbook, The Universities Have Been Listed In An Alphabetical Order. This Facilitates Easy Location Of Their Names. In Addition To The Brief History Of These Universities, The Present Handbook Provides The Names Of Their Vice-Chancellor, Professors And Readers As Well As Their Faculties And Departments. It Also Acquaints The Readers With The Various Courses Of Studies Offered By Each University.It Is Hoped That The Handbook In Its Present Form, Will Prove Immensely Helpful To The Aspiring Students In Choosing The Best Educational Institution For Their Career Enhancement. In Addition, It Will Also Prove Very Useful For The Publishers In Mailing Their Publicity Materials. Even The Suppliers Of Equipment And Services Required By These Educational Institutions Will Find It Highly Valuable. |
| tamil computer: 6th Standard Science English Medium Guide - Tamil Nadu State Board Syllabus Mukil E Publishing And Solutions Pvt Ltd, 2021-08-31 6th Standard Science - English Medium - Tamil Nadu State Board - solutions, guide For the first time in Tamil Nadu, Technical books are available as ebooks. Students and Teachers, make use of it. |
| tamil computer: 9th Standard Science English Medium Guide - Tamil Nadu State Board Syllabus Mukil E Publishing And Solutions Pvt Ltd, 2021-08-29 9th Standard Science - English Medium - Tamil Nadu State Board - solutions, guide For the first time in Tamil Nadu, Technical books are available as ebooks. Students and Teachers, make use of it. |
| tamil computer: Edge AI for Industry 5.0 and Healthcare 5.0 Applications Pethuru Raj, B. Sundaravadivazhagan, A. Saleem Raja, Mohammed M. Alani, 2025-04-04 Edge AI is the seamless and spontaneous combination of Edge or Fog computing and AI. It enables acquiring real-time insights, which, in turn, leads to the realization of real-time, people-centric, event-driven, business-critical, process-aware, and knowledge-filled software services and applications. Edge AI for Industry 5.0 and Healthcare 5.0 Applications looks at the unique contributions of Edge AI for developing solutions for Industry 5.0 and Healthcare 5.0. It explains how Industry 5.0 fine tunes the human-machine connection and leverages tiny, high-performance AI-centric processors in IoT edge devices for real-time decision-making and application processing. Focusing on Explainable AI (XAI), the book discusses: · The role of XAI in Healthcare 5.0 · Best practices, challenges, and opportunities of applying XAI in healthcare setting · How to enhance transparency and trust of XAI in Healthcare 5.0 · XAI and its methods in predicting healthcare outcomes Other highlights of the book include: · 5G communication networks requirements · The fusion of IoT, AI, Edge, Cloud, and blockchain · Trustworthiness of blockchain technology in healthcare 5.0 and Industry 5.0 · The future of trust and the potential of blockchain technology By explaining how Edge AI can transform healthcare and industry, this book empowers researchers and professionals to envisage and implement sophisticated and smart digital solutions. |
| tamil computer: Computational Intelligence in Sustainable Computing and Optimization Balamurugan Balusamy, Vinayakumar Ravi, Rajesh Kumar Dhanaraj, Sudha Senthilkumar, Brindha K, 2024-10-08 Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. - Presents computational, intelligence–based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial management - Develops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources - Includes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing |
| tamil computer: Cyborgs@Cyberspace? David Hakken, 2002-06-01 Arguing that humans have always been technological as well as cultural beings, David Hakken calls for a fundamental rethinking of the traditional separation of anthropology and technical studies. Drawing on three decades of research on contemporary technological societies, this book outlines a fresh way of thinking about technology and offers an ethical and political response to the challenge of truly living as cyborgs in the age of cyberspace. |
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| tamil computer: Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions Pethuru Raj, B. Sundaravadivazhagan, V. Kavitha, 2024-11-22 Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including big data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, machine learning approaches, deep learning, blockchain technology, convolutional neural networks, and more. Some unique features of this book include: Detailed overview of various security analytics techniques and tools Comprehensive descriptions of the emerging and evolving aspects of artificial intelligence (AI) technologies Industry case studies for practical comprehension and application This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry. |
| tamil computer: Directory of Libraries in India Kulwant Rai Gupta, 2000 The Third Revised And Enlarged Edition Of The Directory Of Libraries In India Contains Much Larger Number Of Addresses Of Libraries In India. Special Chapters Have Been Added On Addresses Of Institutions Offering Courses On Important Subjects Like Management, Medicine And Nursing, Engineering And Technology, Architecture, Law, Sports Etc.It Is Hoped That The Directory In Its Present Form Would Be Found Highly Useful By Publishers And Booksellers In Mailing Their Publicity Material. The Directory Would Also Be Useful To Librarians And Others Concerned With Educational Institutions And Organisations For Getting Information About Libraries In India. |
| tamil computer: Hybridization of Blockchain and Cloud Computing M. Lawanya Shri, E. Gangadevi, K. Santhi, Chiranji Lal Chowdhary, 2023-10-13 Exploring many aspects of blockchain technologies and providing an overview of the latest cuttingedge developments along with their diversified business applications, this volume addresses the challenges, emerging issues, and problems in classical centralized architecture and covers how blockchain platforms provide almost magical solutions and novel services for improving business processes. Focusing on blockchain technology-based distributed transactions for industrial use, the chapters address applications in sectors such as healthcare, pharmaceutical drug supply, finance and banking, agriculture and farming, semantic web services, etc. The book explores blockchain applications associated with security issues, cryptocurrencies, cloud computing, Internet of Things, estimating intelligence (of crows, as an example) using artificial intelligence, and more. The chapters discuss deployment, feasibility studies, and the many diverse services offered by blockchain technology |
| tamil computer: Tamil Nadu Economy Dr.V.M.Suneela Shyam, |
| tamil computer: Human- Centric Integration of Next-Generation Data Science and Blockchain Technology Amit Kumar Tyagi, Shrikant Tiwari, 2025-03-17 Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of Society 5.0, characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management |
| tamil computer: MULTIDISCIPLINARY APPROACHES FOR SUSTAINABLE DEVELOPMENT Anshuman Tripathi, Shilpi Birla, Mamta Soni, Jagrati Sahariya, Monica Sharma, 2024-11-25 In a world where the pace of technological advancement continues to accelerate, the imperative to ensure sustainable development has never been more pressing to address the same, the 1st International Conference on Multidisciplinary Approaches for Sustainable Development in Science & Technology (MASDST - 2024), took place at Manipal University Jaipur, Rajasthan, India, from 28th to 29th March 2024. Embracing the spirit of innovation and collaboration, this conference marks a significant milestone in the pursuit of sustainable solutions for our global challenges. |
| tamil computer: Recurrent Neural Networks Amit Kumar Tyagi, Ajith Abraham, 2022-08-08 The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines, and approximation ability. The text discusses diverse applications in areas including air pollutant modeling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing. Case studies are interspersed throughout the book for better understanding. FEATURES Covers computational analysis and understanding of natural languages Discusses applications of recurrent neural network in e-Healthcare Provides case studies in every chapter with respect to real-world scenarios Examines open issues with natural language, health care, multimedia (Audio/Video), transportation, stock market, and logistics The text is primarily written for undergraduate and graduate students, researchers, and industry professionals in the fields of electrical, electronics and communication, and computer engineering/information technology. |
| tamil computer: Human-Centric Integration of 6G-Enabled Technologies for Modern Society Amit Kumar Tyagi, Shrikant Tiwari, 2025-04-29 Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges serves as a comprehensive reference, addressing the information needs of professionals by providing deep information about the fundamentals and applications of 6G, enabling them to make informed decisions in the dynamic landscape of advanced communication technologies. In the 23 chapters, this book introduces the reader to the 6G technology, the evolution of wireless communication, and the integration of artificial intelligence; provides the use cases and applications of 6G technology and the insights into the challenges, future trends, and emerging technologies; and includes the applications of 6G technology in remote healthcare services, patient monitoring, and medical diagnostics.Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges redefines the way we connect, communicate, and collaborate with emerging technologies in this smart era of 6G technology. The title benefits from a collective wealth of knowledge and perspectives. This diversity enriches the content, providing readers with insights from various angles, setting it apart from publications authored or edited by a limited number of individuals. - It discusses both the like fundamental concepts, diverse applications and analytical methodologies, as the challenges that come with the development and deployment of 6G-enabled technologies - It is designed to address the latest developments in 6G technology, offering a forward-looking perspective on emerging trends - It ensures that readers receive up-to-date information and insights into the rapidly evolving landscape of next-generation wireless communication |
| tamil computer: Deep Learning and Parallel Computing Environment for Bioengineering Systems Arun Kumar Sangaiah, 2019-07-26 Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data |
| tamil computer: Data Science in the Medical Field Seifedine Kadry, Shubham Mahajan, 2024-09-30 Data science has the potential to influence and improve fundamental services such as the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Every human body produces 2 TB of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, such as data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of data science to identify the signs of illness at an extremely early stage. - Shows how improving automated analytical techniques can be used to generate new information from data for healthcare applications - Combines a number of related fields, with a particular emphasis on machine learning, big data analytics, statistics, pattern recognition, computer vision, and semantic web technologies - Provides information on the cutting-edge data science tools required to accelerate innovation for healthcare organizations and patients by reading this book |
| tamil computer: Blockchain Technology E. Golden Julie, J. Jesu Vedha Nayahi, Noor Zaman Jhanjhi, 2020-11-09 This book presents a detailed exploration of adaption and implementation, as well as a 360-degree view spectrum of blockchain technologies in real-world business applications. Blockchain is gaining momentum in all sectors. This book offers a collection of protocol standards, issues, security improvements, applicability, features, and types of cryptocurrency in processing and through 5G technology. The book covers the evolution of blockchain from fundamental theories to present forms. It offers diversified business applications with usable case studies and provides successful implementations in cloud/edge computing, smart city, and IoT. The book emphasizes the advances and cutting-edge technologies along with the different tools and platforms. The primary audience for this book includes industry experts, researchers, graduates and under graduates, practitioners, and business managers who are engaged in blockchain and IoT-related technologies. |
| tamil computer: Deep Learning and Blockchain Technology for Smart and Sustainable Cities Subramaniyaswamy V, G Revathy, Logesh Ravi, N. Thillaiarasu, Naresh Kshetri, 2025-05-22 In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of artificial intelligence and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advances in technology bring both opportunities and challenges in creating sustainable smart cities. To help planners and developers to meet these challenges and exploit these opportunities, Deep Learning and Blockchain Technology for Smart and Sustainable Cities takes a deep dive into the technologies and applications that enable smart and sustainable cities. It provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. It presents a detailed discussion of key factors in the convergence of blockchain and DL technologies that help form sustainable smart societies. This book also discusses blockchain security enhancement solutions and summarizes main key points necessary for developing various blockchain and DL‐based intelligent transportation systems. This book concludes with a discussion of open issues and future research direction.These include new security suggestions and guidelines for a sustainable smart city ecosystem. Also discussed is 6G‐enabled DL and blockchain in real‐time applications. |
| tamil computer: Artificial Intelligence for Precision Agriculture Pethuru Raj, N Gayathri, G. Jaspher Willsie Kathrine, 2024-12-19 Precision agriculture is a next-generation farming management concept that optimizes resource use, productivity, quality, profitability, and sustainability by observing and responding to crop variability. Precision agriculture employs digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), 5G communication, cybersecurity, edge computing, cloud-native principles, and blockchain to ensure crops and soil receive exactly what they need for optimal health and productivity. Artificial Intelligence for Precision Agriculture explores the latest developments in precision agriculture, detailing how AI contributes to its goals. The book discusses how precision agriculture solutions use IoT devices, data storage, AI analytics, connectivity, and cloud infrastructures to analyze factors such as soil type, terrain, weather, plant growth, and yield data. It also examines edge technologies—sensors, microchips, beacons, RFID tags, robots, drones, and actuators—that collect field data and transmit it to cloud-based AI platforms for analysis. The book shows how AI-driven insights guide actions in the field, such as crop rotation, optimal planting and harvesting times, and soil management, and help farmers apply the right amounts of water, fertilizers, and pesticides, reducing waste and environmental impact. Applications covered in the book include: Drone-based high-resolution field mapping Tracking crops Crop yield assessments Data collection for irrigation, fertilization, and crop management Advanced weather monitoring Equipment management With chapters on AI model development, plant disease detection and remediation, sustainable farming techniques, data integration, AI-enabled data analytics, and knowledge visualization, this book is a comprehensive guide to technologies and applications in precision agriculture. |
| tamil computer: Learner’s Multilingual Dictionary: English-English-Kannada/Malayalam/Tamil/Telugu , 2012 |
| tamil computer: Tamil Nadu TET TNTET Child Development and Pedagogy Question Bank (In English) Mocktime Publication, 2022-12-06 Tamil Nadu TET TNTET Child Development and Pedagogy Question Bank (In English) |
| tamil computer: Sustainable Advanced Computing Sagaya Aurelia, Somashekhar S. Hiremath, Karthikeyan Subramanian, Saroj Kr. Biswas, 2022-03-30 This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC – 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing. |
| tamil computer: Intelligent Technologies for Automated Electronic Systems S. Kannadhasan, R. Nagarajan, N. Shanmugasundaram, Jyotir Moy Chatterjee, P. Ashok, 2024-03-06 This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies. |
| tamil computer: Topics in Artificial Intelligence Applied to Industry 4.0 Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise AL-Ghamdi, Swetta Kukreja, 2024-07-15 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment. |
| tamil computer: Medical Image Processing Satya Prakash Yadav, Abhishek Kumar, Ashutosh Kumar Dubey, Victor Hugo C. de Albuquerque, Adrian Rodriguez-Aguiñaga, Angeles Quezada, 2024-09-23 The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus on analysing and articulating proven and potential security measures to tightly secure Medical Image applications and services, which are being hosted and delivered through cloud infrastructures and platforms. This book will illustrate the prominent advancements in image processing and how intelligent image-processing techniques can be developed and deployed in the industrial market and for academicians. The readers will get to know all the right and relevant details to be empowered to successfully contribute to their personal and professional growth. The main focus of this book is to bring all the related technologies, novel findings, and managerial applications of Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to Researchers in Medical Engineers, Machine Learning and Data Analysis. |
| tamil computer: Smart Energy and Electric Power Systems Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, 2022-09-17 Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector. - Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding - Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies - Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand |
| tamil computer: New Panchayati Raj in Tamil Nadu G. Palanithurai, 2003 |
| tamil computer: Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems Aparna Kumari, Sudeep Tanwar, 2024-05-23 Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. This book begins by building foundational knowledge for the reader, covering the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus the cyber-security implications). A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems will provide multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future. - Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialists - Collects the real-world experiences of global experts - Enables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids |
| tamil computer: Artificial Intelligence and Machine Learning Mr. S. Muthu Perumal Pillai, Mr. A. Yasar Arafath, Ms. A. Suprajaa, Ms. Jabanesha. S, 2025-05-05 Unlock the future with Artificial Intelligence and Machine Learning—a comprehensive guide that demystifies two of the most transformative technologies of our time. Whether you're a curious beginner, a student, or a professional seeking to deepen your knowledge, this book offers a clear, structured, and practical approach to understanding AI and ML. Explore the core principles, algorithms, and real-world applications driving innovation in industries such as healthcare, finance, robotics, and cybersecurity. From supervised and unsupervised learning to neural networks, deep learning, and ethical AI development, each chapter is designed to build your confidence and fluency in the subject. Featuring: Easy-to-understand explanations of complex concepts Hands-on examples and case studies The latest tools, trends, and frameworks A roadmap for building your own intelligent systems |
| tamil computer: Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications D. Jude Hemanth, 2024-01-19 Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology.Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. - Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis - Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems - Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm |
| tamil computer: Machine Learning Hybridization and Optimization for Intelligent Applications Tanvir Habib Sardar, Bishwajeet Kumar Pandey, 2024-10-28 This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. |
| tamil computer: Blockchain-Based Digital Twins A. Prasanth, Vandana Sharma, Rajesh Kumar Dhanaraj, Pethuru Raj, 2025-04-02 A digital twin, in simple words, is a virtual model such that it accurately reflects an object or data. The usage of blockchain, along with the amalgamation of AI and big data, exploits the potential of the data generated from current industrial practices, giving rise to the digital twin model that can benefit from blockchain technology. This new book addresses this technology to actualize secure systems, networks, and environments. It details the modeling and simulation of blockchain-based digital twins and explores various applications along with challenges and opportunities. The volume explores its application in several industries, including healthcare, agriculture, and mechanics. |
| tamil computer: Digital Twin and Blockchain for Sensor Networks in Smart Cities Tuan Anh Nguyen, 2025-02-25 Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.• Describes the fundamentals of blockchain and digital twin• Explores how blockchain and digital twin work with smart sensor networks• Explains how intelligent sensor networks can be used in the smart and safe cities• Discusses how blockchain and digital twin can be used to manage services in smart cities |
Tamil language - Wikipedia
Tamil[b] (தமிழ், Tamiḻ, pronounced [t̪amiɻ] ⓘ, also written as Tamizhil[10] according to linguistic pronunciation) is a Dravidian language natively spoken by the Tamil people of South …
Tamil | People, Religion, & Language | Britannica
Jun 5, 2025 · Tamil, people originally of southern India who speak Tamil, one of the principal languages of the Dravidian family.
Tamil – South Asian Studies
Tamil’s literary corpus, rich political and social history, and vibrant film industry are just some of the reasons to study this fascinating and important language. Harvard University’s Department …
Tamil language and alphabet - Omniglot
Tamil is a Dravidian language spoken mainly in southern India and Sri Lanka, and also in Malaysia, the UK, South Africa, Canada, the USA, Singapore, France, Mauritius, and many …
Tamil | South Asian Languages and Civilizations
Tamil has an important place in understanding South Asia,being simultaneously a modern language spoken chiefly in India, Sri Lanka, Malaysia, and Singapore,and a classical language …
Tamil language - Wikiwand
Tamil is a Dravidian language natively spoken by the Tamil people of South Asia. It is one of the longest-surviving classical languages in the world, attested s...
History and Major Facts about Tamil Language
Sep 5, 2023 · Tamil is a member of the Dravidian language family, a group of languages predominantly spoken in South India and some parts of Central and Eastern India. It is one of …
Tamil language - Simple English Wikipedia, the free encyclopedia
Tamil is the dominant language in the state of Tamil Nadu which is situated in India, and Northern provinces of Sri Lanka. It is also spoken by significant immigrant communities and the …
Learn Tamil
Aug 26, 2024 · Learn Tamil Part 1 Introduction Thamil Alphabet Pronunciation Numbers 1-100 / Fractions Times & Colors Chapter 1 Pronouns / Simple Sentences Negatives / Questions Verb …
Tamil | Penn Language Center - University of Pennsylvania
Tamil, a language with a long and ancient literary tradition, has been spoken in southern India for several millennia. Ninety-two percent of its speakers live in India's southern Tamil Nadu State, …
Tamil language - Wikipedia
Tamil[b] (தமிழ், Tamiḻ, pronounced [t̪amiɻ] ⓘ, also written as Tamizhil[10] according to linguistic pronunciation) is a Dravidian language natively spoken by the Tamil people of South …
Tamil | People, Religion, & Language | Britannica
Jun 5, 2025 · Tamil, people originally of southern India who speak Tamil, one of the principal languages of the Dravidian family.
Tamil – South Asian Studies
Tamil’s literary corpus, rich political and social history, and vibrant film industry are just some of the reasons to study this fascinating and important language. Harvard University’s Department …
Tamil language and alphabet - Omniglot
Tamil is a Dravidian language spoken mainly in southern India and Sri Lanka, and also in Malaysia, the UK, South Africa, Canada, the USA, Singapore, France, Mauritius, and many …
Tamil | South Asian Languages and Civilizations
Tamil has an important place in understanding South Asia,being simultaneously a modern language spoken chiefly in India, Sri Lanka, Malaysia, and Singapore,and a classical language …
Tamil language - Wikiwand
Tamil is a Dravidian language natively spoken by the Tamil people of South Asia. It is one of the longest-surviving classical languages in the world, attested s...
History and Major Facts about Tamil Language
Sep 5, 2023 · Tamil is a member of the Dravidian language family, a group of languages predominantly spoken in South India and some parts of Central and Eastern India. It is one of …
Tamil language - Simple English Wikipedia, the free encyclopedia
Tamil is the dominant language in the state of Tamil Nadu which is situated in India, and Northern provinces of Sri Lanka. It is also spoken by significant immigrant communities and the …
Learn Tamil
Aug 26, 2024 · Learn Tamil Part 1 Introduction Thamil Alphabet Pronunciation Numbers 1-100 / Fractions Times & Colors Chapter 1 Pronouns / Simple Sentences Negatives / Questions Verb …
Tamil | Penn Language Center - University of Pennsylvania
Tamil, a language with a long and ancient literary tradition, has been spoken in southern India for several millennia. Ninety-two percent of its speakers live in India's southern Tamil Nadu State, …
