Machine Learning Applications In Electromagnetics And Antenna Array Processing

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Machine Learning Applications in Electromagnetics and Antenna Array Processing

Manel Martínez-Ramón,Arjun Gupta,José Luis Rojo-Álvarez,Christos G. Christodoulou
Machine Learning Applications in Electromagnetics and Antenna Array Processing Book PDF

Author : Manel Martínez-Ramón,Arjun Gupta,José Luis Rojo-Álvarez,Christos G. Christodoulou
Publisher : Artech House
Page : 436 pages
File Size : 41,5 Mb
Release : 2021-04-30
Category : Technology & Engineering
ISBN : 9781630817763

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Machine Learning Applications in Electromagnetics and Antenna Array Processing by Manel Martínez-Ramón,Arjun Gupta,José Luis Rojo-Álvarez,Christos G. Christodoulou Pdf

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.

Support Vector Machines for Antenna Array Processing and Electromagnetics

Manel Martínez-Ramón,Christos G. Christodoulou
Support Vector Machines for Antenna Array Processing and Electromagnetics Book PDF

Author : Manel Martínez-Ramón,Christos G. Christodoulou
Publisher : Morgan & Claypool Publishers
Page : 121 pages
File Size : 55,8 Mb
Release : 2006
Category : Antenna arrays
ISBN : 9781598290240

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Support Vector Machines for Antenna Array Processing and Electromagnetics by Manel Martínez-Ramón,Christos G. Christodoulou Pdf

Since the 1990s there has been significant activity in the theoretical development and applications of Support Vector Machines (SVMs). The theory of SVMs is based on the cross-pollenization of optimization theory, statistical learning, kernel theory, and algorithmics. So far, machine learning has largely been devoted to solving problems relating to data mining, text categorization, and pattern/facial recognition but not so much in the field of electromagnetics. Recently, however, popular binary machine learning algorithms, including support vector machines (SVM), have successfully been applied to wireless communication problems, notably spread spectrum receiver design and channelequalization.The aim of this book is to gently introduce support vector machines in its linear and non linear form, both as regressors and as classifiers, and to show how they can be applied to several antenna array processing problems and electromagnetics in general.The lecture is divided into three main parts. The first three chapters cover the theory of SVMS, both as classifiers and regressors. The next three chapters deal with applications in antenna array processing and other areas in electromagnetics. The four appendices at the end of the book comprise the last part. The inclusion of MATLAB files will help readers start their application of the algorithms covered in the book.

Support Vector Machines for Antenna Array Processing and Electromagnetics

Manel Martínez-Ramón,Christos Christodoulou
Support Vector Machines for Antenna Array Processing and Electromagnetics Book PDF

Author : Manel Martínez-Ramón,Christos Christodoulou
Publisher : Springer Nature
Page : 110 pages
File Size : 44,9 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031016929

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Support Vector Machines for Antenna Array Processing and Electromagnetics by Manel Martínez-Ramón,Christos Christodoulou Pdf

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.

Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

Sawyer D. Campbell,Douglas H. Werner
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Book PDF

Author : Sawyer D. Campbell,Douglas H. Werner
Publisher : John Wiley & Sons
Page : 596 pages
File Size : 52,7 Mb
Release : 2023-09-26
Category : Technology & Engineering
ISBN : 9781119853893

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Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning by Sawyer D. Campbell,Douglas H. Werner Pdf

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

Christos Christodoulou,Costas Sarris,Dragica Vasileska,Jean-Pierre Bérenger,John Holmes,John. L. Volakis,Manel Martínez-Ramón,Kubilay Sertel,Stephen Goodnick,Brian C Usner
Support Vector Machines for Antenna Array Processing and Electromagnetics Book PDF

Author : Christos Christodoulou,Costas Sarris,Dragica Vasileska,Jean-Pierre Bérenger,John Holmes,John. L. Volakis,Manel Martínez-Ramón,Kubilay Sertel,Stephen Goodnick,Brian C Usner
Publisher : Unknown
Page : 0 pages
File Size : 49,6 Mb
Release : 2006
Category : Electrical engineering
ISBN : 8303101692

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Support Vector Machines for Antenna Array Processing and Electromagnetics by Christos Christodoulou,Costas Sarris,Dragica Vasileska,Jean-Pierre Bérenger,John Holmes,John. L. Volakis,Manel Martínez-Ramón,Kubilay Sertel,Stephen Goodnick,Brian C Usner Pdf

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.

Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

Sawyer D. Campbell,Douglas H. Werner
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Book PDF

Author : Sawyer D. Campbell,Douglas H. Werner
Publisher : John Wiley & Sons
Page : 596 pages
File Size : 42,9 Mb
Release : 2023-08-03
Category : Technology & Engineering
ISBN : 9781119853916

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Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning by Sawyer D. Campbell,Douglas H. Werner Pdf

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.

Electromagnetics for Engineers Volume 1: Electrostatics and Magnetostatics

Dean James Friesen
Electromagnetics for Engineers Volume 1 Electrostatics and Magnetostatics Book PDF

Author : Dean James Friesen
Publisher : Artech House
Page : 249 pages
File Size : 49,5 Mb
Release : 2023-12-31
Category : Science
ISBN : 9781685690069

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Electromagnetics for Engineers Volume 1: Electrostatics and Magnetostatics by Dean James Friesen Pdf

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.

Machine Learning in Signal Processing

Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
Machine Learning in Signal Processing Book PDF

Author : Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
Publisher : CRC Press
Page : 388 pages
File Size : 53,9 Mb
Release : 2021-12-10
Category : Technology & Engineering
ISBN : 9781000487794

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Machine Learning in Signal Processing by Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar Pdf

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

Applications of Deep Learning in Electromagnetics

Maokun Li,Marco Salucci
Applications of Deep Learning in Electromagnetics Book PDF

Author : Maokun Li,Marco Salucci
Publisher : IET
Page : 479 pages
File Size : 53,7 Mb
Release : 2023-04-13
Category : Science
ISBN : 9781839535895

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Applications of Deep Learning in Electromagnetics by Maokun Li,Marco Salucci Pdf

This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.

Machine Learning Techniques for Smart City Applications: Trends and Solutions

D. Jude Hemanth
Machine Learning Techniques for Smart City Applications Trends and Solutions Book PDF

Author : D. Jude Hemanth
Publisher : Springer Nature
Page : 227 pages
File Size : 55,5 Mb
Release : 2022-09-19
Category : Computers
ISBN : 9783031088599

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Machine Learning Techniques for Smart City Applications: Trends and Solutions by D. Jude Hemanth Pdf

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.

Artificial Intelligence for Signal Processing and Wireless Communication

Abhinav Sharma,Arpit Jain,Ashwini Kumar Arya,Mangey Ram
Artificial Intelligence for Signal Processing and Wireless Communication Book PDF

Author : Abhinav Sharma,Arpit Jain,Ashwini Kumar Arya,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 248 pages
File Size : 42,5 Mb
Release : 2022-04-04
Category : Computers
ISBN : 9783110734720

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Artificial Intelligence for Signal Processing and Wireless Communication by Abhinav Sharma,Arpit Jain,Ashwini Kumar Arya,Mangey Ram Pdf

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.

Evolution in Signal Processing and Telecommunication Networks

P. Satish Rama Chowdary,Jaume Anguera,Suresh Chandra Satapathy,Vikrant Bhateja
Evolution in Signal Processing and Telecommunication Networks Book PDF

Author : P. Satish Rama Chowdary,Jaume Anguera,Suresh Chandra Satapathy,Vikrant Bhateja
Publisher : Springer Nature
Page : 525 pages
File Size : 41,7 Mb
Release : 2022-03-23
Category : Technology & Engineering
ISBN : 9789811685545

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Evolution in Signal Processing and Telecommunication Networks by P. Satish Rama Chowdary,Jaume Anguera,Suresh Chandra Satapathy,Vikrant Bhateja Pdf

This book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2021), held in Bhubaneswar, Odisha, India during 27–28 August, 2021. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

Deep Reinforcement Learning for Wireless Networks

F. Richard Yu,Ying He
Deep Reinforcement Learning for Wireless Networks Book PDF

Author : F. Richard Yu,Ying He
Publisher : Springer
Page : 71 pages
File Size : 41,8 Mb
Release : 2019-01-17
Category : Technology & Engineering
ISBN : 9783030105464

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Deep Reinforcement Learning for Wireless Networks by F. Richard Yu,Ying He Pdf

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

Puran Gour,Nagendra Singh,Rajesh Kumar Nema,Ravi Shankar Mishra,Ashish Kumar Srivastava
Array and Wearable Antennas Book PDF

Author : Puran Gour,Nagendra Singh,Rajesh Kumar Nema,Ravi Shankar Mishra,Ashish Kumar Srivastava
Publisher : CRC Press
Page : 248 pages
File Size : 45,6 Mb
Release : 2024-03-20
Category : Technology & Engineering
ISBN : 9781040001486

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Array and Wearable Antennas by Puran Gour,Nagendra Singh,Rajesh Kumar Nema,Ravi Shankar Mishra,Ashish Kumar Srivastava Pdf

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.

Future Trends in 5G and 6G

Mangesh Ghonge,Ramchandra Sharad Mangrulkar,Pradip M Jawandhiya,Nitin Goje
Future Trends in 5G and 6G Book PDF

Author : Mangesh Ghonge,Ramchandra Sharad Mangrulkar,Pradip M Jawandhiya,Nitin Goje
Publisher : CRC Press
Page : 356 pages
File Size : 41,5 Mb
Release : 2021-12-31
Category : Technology & Engineering
ISBN : 9781000504064

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Future Trends in 5G and 6G by Mangesh Ghonge,Ramchandra Sharad Mangrulkar,Pradip M Jawandhiya,Nitin Goje Pdf

Future Trends in 5G and 6G: Challenges, Architecture, and Applications offers a comprehensive overview of basic communication and networking technologies. It focuses on emerging technologies, such as Software-Defined Network (SDN)-based ad hoc networks, 5G, Machine Learning, and Deep Learning solutions for communication and networking, Cloud Computing, etc. It also includes discussions on practical and innovative applications, including Network Security, Smart Cities, e-health, and Intelligent Systems. The book addresses several key issues in SDN energy-efficient systems, the Internet of Things, Big Data, Cloud Computing and Virtualization, Machine Learning, Deep Learning, Cryptography, and 6G wireless technology and its future. It provides students, researchers, and practicing engineers with an expert guide to the fundamental concepts, challenges, architecture, applications, and state-of-the-art developments in communication and networking.