Machine Learning Applications In Electromagnetics And Antenna Array Processing
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Machine Learning Applications In Electromagnetics And Antenna Array Processing
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Author : Manel Martínez-Ramón
language : en
Publisher: Artech House
Release Date : 2021-04-30
Machine Learning Applications In Electromagnetics And Antenna Array Processing written by Manel Martínez-Ramón and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Technology & Engineering categories.
This practical resource provides an overview of machine learning (ML) approaches as applied to electromagnetics and antenna array processing. Detailed coverage of the main trends in ML, including uniform and random array processing (beamforming and detection of angle of arrival), antenna optimization, wave propagation, remote sensing, radar, and other aspects of electromagnetic design are explored. An introduction to machine learning principles and the most common machine learning architectures and algorithms used today in electromagnetics and other applications is presented, including basic neural networks, gaussian processes, support vector machines, kernel methods, deep learning, convolutional neural networks, and generative adversarial networks. Applications in electromagnetics and antenna array processing that are solved using machine learning are discussed, including antennas, remote sensing, and target classification.
Advances In Electromagnetics Empowered By Artificial Intelligence And Deep Learning
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Author : Sawyer D. Campbell
language : en
Publisher: John Wiley & Sons
Release Date : 2023-08-03
Advances In Electromagnetics Empowered By Artificial Intelligence And Deep Learning written by Sawyer D. Campbell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-03 with Technology & Engineering categories.
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.
Support Vector Machines For Antenna Array Processing And Electromagnetics
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Author : Manel Martínez-Ramón
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Support Vector Machines For Antenna Array Processing And Electromagnetics written by Manel Martínez-Ramón and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. This book introduces a set of novel techniques based on SVM that are applied to antenna array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays and electromagnetic applications.
Deep Learning
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Author : Manel Martinez-Ramon
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-08
Deep Learning written by Manel Martinez-Ramon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Computers categories.
An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: Thorough introductions to deep learning and deep learning tools Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures Practical discussions of recurrent neural networks and non-supervised approaches to deep learning Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networks Perfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general.
Artificial Intelligence For Future Networks
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Author : Mohammad A. Matin
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-02
Artificial Intelligence For Future Networks written by Mohammad A. Matin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
An exploration of connected intelligent edge, artificial intelligence, and machine learning for B5G/6G architecture Artificial Intelligence for Future Networks illuminates how artificial intelligence (AI) and machine learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive internet of things (mIoT). The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks. Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications. Some of the topics explored in Artificial Intelligence for Future Networks include: Signal processing and detection, covering preprocess and level signals, transform signals and extract features, and training and deploying AI models and systems Channel estimation and prediction, covering channel characteristics, modeling, and classic learning-aided and AI-aided estimation techniques Resource allocation, covering resource allocation optimization and efficient power consumption for different computing paradigms such as Cloud, Edge, Fog, IoT, and MEC Antenna design using AI, covering basics of antennas, EM simulator/optimization algorithms, and surrogate modeling Identifying technical roadblocks and sharing cutting-edge research on developing methodologies, Artificial Intelligence for Future Networks is an essential reference on the subject for professionals and researchers involved in the field of wireless communications and networks, along with graduate and PhD students in electrical and computer engineering programs of study.
Electromagnetics For Engineers Volume 1 Electrostatics And Magnetostatics
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Author : Dean James Friesen
language : en
Publisher: Artech House
Release Date : 2023-12-31
Electromagnetics For Engineers Volume 1 Electrostatics And Magnetostatics written by Dean James Friesen and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Science categories.
Electromagnetism for Engineers, VOL. I: Electrostatics is a comprehensive introduction to the fundamental principles of electromagnetism, making it an indispensable source for a wide range of readers. This volume covers the essential concepts of electrostatics, including Coulomb's law, electric fields, Gauss's law, and vector mathematics, which forms a foundational tool throughout the book. What sets this book apart are the numerous illustrations and diagrams that visually elucidate complex topics, ensuring a clear and thorough understanding. To reinforce learning, the text includes problem and solution sets, giving readers an opportunity to apply the concepts they have acquired. This book is particularly valuable for college graduates and engineering students who are beginning their journey into the realm of electromagnetism. It is also an excellent reference for practicing engineers seeking to refresh their knowledge of the basic principles of electromagnetism. With a focus on both theory and practical application, this volume provides a strong foundation for readers at various stages of their engineering education and career.
Support Vector Machines For Antenna Array Processing And Electromagnetics
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Author : Manel Martínez-Ramón
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2006-12-01
Support Vector Machines For Antenna Array Processing And Electromagnetics written by Manel Martínez-Ramón and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-01 with Technology & Engineering categories.
Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. This book introduces a set of novel techniques based on SVM that are applied to antenna array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays and electromagnetic applications.
Machine Learning Techniques For Smart City Applications Trends And Solutions
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Author : D. Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2022-09-19
Machine Learning Techniques For Smart City Applications Trends And Solutions written by D. Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-19 with Computers categories.
This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.
Deep Reinforcement Learning For Wireless Networks
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Author : F. Richard Yu
language : en
Publisher: Springer
Release Date : 2019-01-17
Deep Reinforcement Learning For Wireless Networks written by F. Richard Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-17 with Technology & Engineering categories.
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.
Array And Wearable Antennas
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Author : Puran Gour
language : en
Publisher: CRC Press
Release Date : 2024-03-20
Array And Wearable Antennas written by Puran Gour and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Technology & Engineering categories.
The text highlights the designing of efficient, wearable, and textile antennas for medical and wireless applications. It further discusses antenna design for the Internet of Things, biomedical, and 5G applications. The book presents machine learning and deep learning techniques for antenna design and analysis. It also covers radio frequency, micro-electromechanical systems, and nanoelectromechanical systems devices for smart antenna design. This book: Explores wearable reconfigurable antennas for wireless communication and provide the latest technique in term of its structure, defective ground plane, and fractal design Focuses on current and future technologies related to antenna design, and channel characterization for different communication links, and applications Discusses machine learning techniques for antenna design and analysis Demonstrates how nano patch antenna resonates at multiple frequencies by varying the chemical potential Covers the latest antenna technology for microwave sensors, and for fiber optical sensor communications It is primarily for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering.