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Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem;
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meminductance. Details are shown for recent applications of memristors for resistive random access memories, neuromorphic systems and hybrid CMOS;
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information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and;
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This book describes the essential requirements for the realization of neuromorphic systems, where memristive devices play a key role. A;
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Intelligence Processors for Biomedical Circuits and Systems; Neuro-Inspired Computing and Neuromorphic Processors for Biomedical Circuits and;
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. Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide;
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as examples. The authors describe in detail how to design different types of memristor emulators, using active and passive components for;
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as examples. The authors describe in detail how to design different types of memristor emulators, using active and passive components for;
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indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers;
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begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next;
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This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and;
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With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial;
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; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow;
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Atomically scaled smart devices, artificial intelligence, neuromorphic functions, alternative logic operations and computing, new memory;
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organized around the following topics: e-health mining; image, information and intelligent applications; artificial intelligence for educational;
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This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted;
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Intelligence for Games, AIoTA - Artificial Intelligence and IoT in Agriculture, AIL - Artificial Intelligence and Law, AIM - Artificial Intelligence;
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Intelligence for Games, AIoTA - Artificial Intelligence and IoT in Agriculture, AIL - Artificial Intelligence and Law, AIM - Artificial Intelligence;
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This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on;
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papers are organized in 16 tracks devoted to the following topics: agent-based modelling for criminological research (ABM4Crime), artificial;
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. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field;
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This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;
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Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types;
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Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from;
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power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization.;
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intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and;
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