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Computational Technologies in Materials Science (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367640589 ISBN 13: 9780367640583
Language: English
Paperback. Condition: new. Paperback. Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare. Yet, it can take years to move a material to the market after its initial discovery. Computational techniques have accelerated the exploration and development of materials, offering the chance to move new materials to the market quickly. Computational Technologies in Materials Science addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It explores characterization and fabrication of materials, machine-learning-based models, and computational intelligence for the synthesis and identification of materials. This book Covers material testing and development using computational intelligence Highlights the technologies to integrate computational intelligence and materials science Details case studies and detailed applications Investigates challenges in developing and using computational intelligence in materials science Analyzes historic changes that are taking place in designing materials.This book encourages material researchers and academics to develop novel theories and sustainable computational techniques and explores the potential for computational intelligence to replace traditional materials research. This book addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It brings together researchers, developers, practitioners, and users to explore new ideas, techniques, and tools, and to exchange their experiences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Device Circuit Co-Design Issues in FETs (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032416823 ISBN 13: 9781032416823
Language: English
Paperback. Condition: new. Paperback. This book provides an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices. Device Circuit Co-Design Issues in FETs provides readers with a better understanding of the ever-growing field of low-power electronic devices and their applications in the wireless, biosensing, and circuit domains. The book brings researchers and engineers from various disciplines of the VLSI domain together to tackle the emerging challenges in the field of engineering and applications of advanced low-power devices in an effort to improve the performance of these technologies. The chapters examine the challenges and scope of FinFET device circuits, 3D FETs, and advanced FET for circuit applications. The book also discusses low-power memory design, neuromorphic computing, and issues related to thermal reliability. The authors provide a good understanding of device physics and circuits, and discuss transistors based on the new channel/dielectric materials and device architectures to achieve low-power dissipation and ultra-high switching speeds to fulfill the requirements of the semiconductor industry.This book is intended for students, researchers, and professionals in the field of semiconductor devices and nanodevices, as well as those working on device-circuit co-design issues. This book will provide an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices. The area of low-power devices and circuits has gained popularity on a global basis due to the need for the current scenario of the IC industry. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Tunneling Field Effect Transistors (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032354690 ISBN 13: 9781032354699
Language: English
Paperback. Condition: new. Paperback. This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which form the backbone of electronic equipment. It provides desired exposure to the ever-growing field of low-power electronic devices and their applications in nanoscale devices, memory design, and biosensing applications.Tunneling Field Effect Transistors: Design, Modeling and Applications brings researchers and engineers from various disciplines of the VLSI domain to together tackle the emerging challenges in the field of nanoelectronics and applications of advanced low-power devices. The book begins by discussing the challenges of conventional CMOS technology from the perspective of low-power applications, and it also reviews the basic science and developments of subthreshold swing technology and recent advancements in the field. The authors discuss the impact of semiconductor materials and architecture designs on TFET devices and the performance and usage of FET devices in various domains such as nanoelectronics, Memory Devices, and biosensing applications. They also cover a variety of FET devices, such as MOSFETs and TFETs, with various structures based on the tunneling transport phenomenon.The contents of the book have been designed and arranged in such a way that Electrical Engineering students, researchers in the field of nanodevices and device-circuit codesign, as well as industry professionals working in the domain of semiconductor devices, will find the material useful and easy to follow. This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which are the backbone of electronic equipment. It provides desired exposure to the ever-growing field of low-power electronic devices and their applications in nanoscale devices, memory design, and biosensing applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Sustainable and Advanced Applications of Blockchain in Smart Computational Technologies
Published by Chapman and Hall/CRC, 2024
ISBN 10: 103204487X ISBN 13: 9781032044873
Language: English
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5G and Beyond Wireless Networks: Technology, Network Deployments, and Materials for Antenna Design (Materials, Devices, and Circuits)
Seller: Books From California, Simi Valley, CA, U.S.A.
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hardcover. Condition: Fine.
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Sustainable And Advanced Applications Of Blockchain In Smart Computational Technologies
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032044217 ISBN 13: 9781032044217
Language: English
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Advanced Smart Computing Technologies in Cybersecurity and Forensics
Published by CRC Press 2021-12-16, 2021
ISBN 10: 0367686503 ISBN 13: 9780367686505
Language: English
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Computational Technologies in Materials Science (Science, Technology, and Management)
Published by CRC Press 2021-10-07, 2021
ISBN 10: 0367640570 ISBN 13: 9780367640576
Language: English
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Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications (Hardcover)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032753242 ISBN 13: 9781032753249
Language: English
Hardcover. Condition: new. Hardcover. This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science.Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body.The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface. This book presents machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: Biomedical Engineering, Signal Processing, and Computer Science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Advancing VLSI through Machine Learning (Hardcover)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032774282 ISBN 13: 9781032774282
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI. This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Emerging Materials: Design, Characterization and Applications
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