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2022 Ieee Vlsi Device Circuit And System Vlsi Dcs
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Book Synopsis 2022 IEEE VLSI Device Circuit and System (VLSI DCS) by : IEEE Staff
Download or read book 2022 IEEE VLSI Device Circuit and System (VLSI DCS) written by IEEE Staff and published by . This book was released on 2022-02-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topics of particular interest include, but are not limited to Track A Devices and Modeling Energy Efficient Devices Organic Devices RF and Microwave Devices Sensors, Imagers and MEMS Memory Device and Technology Photonic Devices Power and Semiconductor DEVICESDevices Characterization, Advanced CMOS modules e g gate stack, contact, doping, strained Channel, non Si integration, interconnects technology, etc Track B VLSI Circuits Analog and Mixed Signal Integrated Circuits RF and Communication circuits, Low Power Circuits and systems Circuits in Subthreshold and Near threshold regime, Digital Integrated Circuits, SOC, and NOC Linear and Non linear Circuits Bio Chips MEMS NEMS circuitry Standalone memory circuits DRAM, FLASH Quantum Modeling, chaos neural fuzzy logic Circuits Track C VLSI Systems VLSI aspects of sensor and sensor network, Embedded system architecture, design, and software, System architectures NoC, 3D, multi core, and reconfigurable, Memory System
Book Synopsis Federated Learning and Privacy-Preserving in Healthcare AI by : Lilhore, Umesh Kumar
Download or read book Federated Learning and Privacy-Preserving in Healthcare AI written by Lilhore, Umesh Kumar and published by IGI Global. This book was released on 2024-05-02 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI.
Book Synopsis Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) by : Ajith Abraham
Download or read book Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) written by Ajith Abraham and published by Springer Nature. This book was released on 2023-03-27 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificial intelligence, and machine learning applications, SoCPaR-NaBIC 2022 brought together researchers, engineers, and practitioners whose work involves intelligent systems, network security, and their applications in industry. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Book Synopsis Modern Computational Techniques for Engineering Applications by : Krishan Arora
Download or read book Modern Computational Techniques for Engineering Applications written by Krishan Arora and published by CRC Press. This book was released on 2023-07-21 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.
Book Synopsis Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries by : Goel, Neha
Download or read book Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries written by Goel, Neha and published by IGI Global. This book was released on 2023-07-03 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.
Book Synopsis Intelligent Systems and Machine Learning for Industry by : P. R Anisha
Download or read book Intelligent Systems and Machine Learning for Industry written by P. R Anisha and published by CRC Press. This book was released on 2022-12-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: • Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. • Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. • Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. • Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. • Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. • Discusses a systematic and exhaustive analysis of intelligent software effort estimation models. It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Book Synopsis Multimodal Biometric and Machine Learning Technologies by : Sandeep Kumar
Download or read book Multimodal Biometric and Machine Learning Technologies written by Sandeep Kumar and published by John Wiley & Sons. This book was released on 2023-11-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: MULTIMODAL BIOMETRIC AND MACHINE LEARNING TECHNOLOGIES With an increasing demand for biometric systems in various industries, this book on multimodal biometric systems, answers the call for increased resources to help researchers, developers, and practitioners. Multimodal biometric and machine learning technologies have revolutionized the field of security and authentication. These technologies utilize multiple sources of information, such as facial recognition, voice recognition, and fingerprint scanning, to verify an individual???s identity. The need for enhanced security and authentication has become increasingly important, and with the rise of digital technologies, cyber-attacks and identity theft have increased exponentially. Traditional authentication methods, such as passwords and PINs, have become less secure as hackers devise new ways to bypass them. In this context, multimodal biometric and machine learning technologies offer a more secure and reliable approach to authentication. This book provides relevant information on multimodal biometric and machine learning technologies and focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity. The book provides content on the theory of multimodal biometric design, evaluation, and user diversity, and explains the underlying causes of the social and organizational problems that are typically devoted to descriptions of rehabilitation methods for specific processes. Furthermore, the book describes new algorithms for modeling accessible to scientists of all varieties. Audience Researchers in computer science and biometrics, developers who are designing and implementing biometric systems, and practitioners who are using biometric systems in their work, such as law enforcement personnel or healthcare professionals.
Book Synopsis Explainable Machine Learning Models and Architectures by : Suman Lata Tripathi
Download or read book Explainable Machine Learning Models and Architectures written by Suman Lata Tripathi and published by John Wiley & Sons. This book was released on 2023-08-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.
Book Synopsis AI, IoT, and Blockchain Breakthroughs in E-Governance by : Saini, Kavita
Download or read book AI, IoT, and Blockchain Breakthroughs in E-Governance written by Saini, Kavita and published by IGI Global. This book was released on 2023-05-18 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
Book Synopsis Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods by : Lilhore, Umesh Kumar
Download or read book Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods written by Lilhore, Umesh Kumar and published by IGI Global. This book was released on 2024-03-22 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges. The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics. This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences.
Book Synopsis Advances in Communication, Devices and Networking by : Sourav Dhar
Download or read book Advances in Communication, Devices and Networking written by Sourav Dhar and published by Springer Nature. This book was released on 2023-07-07 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent trends in the field of devices, wireless communication and networking. It gathers selected papers presented at the 6th International Conference on Communication, Devices and Networking (ICCDN 2022), which was organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India, on December 16–17, 2022. Gathering cutting-edge research papers prepared by researchers, engineers and industry professionals, it helps young and experienced scientists and developers alike to explore new perspectives and offer them inspirations on how to address real-world problems in the areas of electronics, communication, devices and networking.
Book Synopsis Key Digital Trends Shaping the Future of Information and Management Science by : Lalit Garg
Download or read book Key Digital Trends Shaping the Future of Information and Management Science written by Lalit Garg and published by Springer Nature. This book was released on 2023-05-15 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.
Book Synopsis Advanced Ultra Low-Power Semiconductor Devices by : Shubham Tayal
Download or read book Advanced Ultra Low-Power Semiconductor Devices written by Shubham Tayal and published by John Wiley & Sons. This book was released on 2023-10-30 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCED ULTRA LOW-POWER SEMICONDUCTOR DEVICES Written and edited by a team of experts in the field, this important new volume broadly covers the design and applications of metal oxide semiconductor field effect transistors. This outstanding new volume offers a comprehensive overview of cutting-edge semiconductor components tailored for ultra-low power applications. These components, pivotal to the foundation of electronic devices, play a central role in shaping the landscape of electronics. With a focus on emerging low-power electronic devices and their application across domains like wireless communication, biosensing, and circuits, this book presents an invaluable resource for understanding this dynamic field. Bringing together experts and researchers from various facets of the VLSI domain, the book addresses the challenges posed by advanced low-power devices. This collaborative effort aims to propel engineering innovations and refine the practical implementation of these technologies. Specific chapters delve into intricate topics such as Tunnel FET, negative capacitance FET device circuits, and advanced FETs tailored for diverse circuit applications. Beyond device-centric discussions, the book delves into the design intricacies of low-power memory systems, the fascinating realm of neuromorphic computing, and the pivotal issue of thermal reliability. Authors provide a robust foundation in device physics and circuitry while also exploring novel materials and architectures like transistors built on pioneering channel/dielectric materials. This exploration is driven by the need to achieve both minimal power consumption and ultra-fast switching speeds, meeting the relentless demands of the semiconductor industry. The book’s scope encompasses concepts like MOSFET, FinFET, GAA MOSFET, the 5-nm and 7-nm technology nodes, NCFET, ferroelectric materials, subthreshold swing, high-k materials, as well as advanced and emerging materials pivotal for the semiconductor industry’s future.
Book Synopsis Cracking the Machine Learning Code: Technicality or Innovation? by : KC Santosh
Download or read book Cracking the Machine Learning Code: Technicality or Innovation? written by KC Santosh and published by Springer Nature. This book was released on with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recent Advances in Aerospace Engineering by : Sanjay Singh
Download or read book Recent Advances in Aerospace Engineering written by Sanjay Singh and published by Springer Nature. This book was released on with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning-based Design and Optimization of High-Speed Circuits by : Vazgen Melikyan
Download or read book Machine Learning-based Design and Optimization of High-Speed Circuits written by Vazgen Melikyan and published by Springer Nature. This book was released on 2024-01-31 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores.
Book Synopsis Proceedings of the Fourth International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023) by : C. Kiran Mai
Download or read book Proceedings of the Fourth International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023) written by C. Kiran Mai and published by Springer Nature. This book was released on 2024-01-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book.The Department of Computer Science & Engineering, VNR VJIET, successfully organized a 2-Day International e-Conference “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS)" (ICACECS-2020, ICACECS-2021 and ICACECS-2022) consecutively for 3 years. This conference is conducted in association with “ Atlantis Highlights in Computer Science (AHCS) , Atlantis Press(part of Springer Nature) ” the publication partner and technically sponsored by Computer Society of India (CSI). Every year there was an overwhelming response from researchers around the globe publishing their research contributions in “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” - the theme of the conference. Continuing this legacy, the international e-conference ICACECS-2023 is now scheduled to be conducted on 22nd & 23rd September 2023. This year, ICACECS-2023 is also co-located at THE UNIVERSITY OF THE WEST INDIES(UWI), AT MONA, JAMAICA. UWI Mona, Jamaica is the founding campus of the unique, multi-part, multi-national University of the West Indies. The square mile site welcomed its first undergraduates – 33 medical students from across the West Indies or now, more often, the Caribbean – in October 1948. The UWI is the region’s premier educational institution, with faculties offering a wide range of undergraduate, masters and doctoral programmes in Humanities and Education, Science and Technology, Science and Agriculture, Engineering, Law, Medical Sciences and Social Sciences. Authors are solicited to contribute their submissions illustrating research results and innovations, and significant advances in the fields of Artificial Intelligence, Machine learning, Smart Systems, Networks, and Communication Systems, Quantum computing, Knowledge Engineering and Ontology, Internet of Things, Education Technology and Business Engineering. ICACECS-2023 is a unique forum bringing together scholars from the different countries to participate and transform the Research Landscape of the globe and carve a Road Map for Implementation. It provides a valuable networking opportunity and brings a new era for the Research scholars, Students, Professors, Industrialists providing insights to the recent trends and developments in the field of Computer Science with a special focus on Mezzanine technologies.
