Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

• Record Nr.: UNINA9911019109303321
• Autore: Campbell Sawyer D
• Pubbl/distr/stampa: Newark : , : John Wiley & Sons, Incorporated, , 2023; ©2023
• ISBN: 9781119853923; 1119853923; 9781119853909; 1119853907
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (595 pages)
• Collana: IEEE Press Series on Electromagnetic Wave Theory Series
• Altri autori (Persone): WernerDouglas H
• Disciplina: 537.0285/63
• Soggetti: Artificial intelligence; Deep learning (Machine learning)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Part I Introduction to AI‐Based Regression and Classification -- Chapter 1 Introduction to Neural Networks -- 1.1 Taxonomy -- 1.1.1 Supervised Versus Unsupervised Learning -- 1.1.2 Regression Versus Classification -- 1.1.3 Training, Validation, and Test Sets -- 1.2 Linear Regression -- 1.2.1 Objective Functions -- 1.2.2 Stochastic Gradient Descent -- 1.3 Logistic Classification -- 1.4 Regularization -- 1.5 Neural Networks -- 1.6 Convolutional Neural Networks -- 1.6.1 Convolutional Layers -- 1.6.2 Pooling Layers -- 1.6.3 Highway Connections -- 1.6.4 Recurrent Layers -- 1.7 Conclusion -- References -- Chapter 2 Overview of Recent Advancements in Deep Learning and Artificial Intelligence -- 2.1 Deep Learning -- 2.1.1 Supervised Learning -- 2.1.1.1 Conventional Approaches
• Sommario/riassunto: This book explores advancements in artificial intelligence and deep learning, particularly focusing on applications in electrical engineering and wave theory. It covers topics such as AI-based regression and classification, neural networks, and the integration of machine learning ; in designing metasurfaces and electromagnetic applications. Edited by Sawyer D. Campbell and Douglas H. Werner, the book serves as a comprehensive resource for researchers and professionals in the field, aiming to enhance understanding of the latest technologies in AI and deep learning. The intended audience includes academics, engineers, and advanced students interested in AI applications in engineering.

The curse of the self : self-awareness, egotism, and the quality of human life / / Mark R. Leary

• Record Nr.: UNINA9910953881403321
• Autore: Leary Mark R
• Pubbl/distr/stampa: Oxford, : Oxford University Press, 2004
• ISBN: 0-19-029151-6; 0-19-532544-3; 0-19-803851-8; 9786610428052; 1-60256-498-1; 1-280-42805-8
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (237 p.)
• Disciplina: 155.2
• Soggetti: Self-perception; Self-doubt
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; 1 The Self-Aware Animal; 2 Living in Two Worlds; 3 Through the Eyes of the Ego; 4 Making Ourselves Miserable; 5 When Selves Collide; 6 Risking Life and Limb; 7 Religion and Morality; 8 The Self Out of Control; 9 Bringing Out the Best in the Self; Notes; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Y; Z
• Sommario/riassunto: Human beings have the ability to think consciously about themselves, which allows them, among other things, to imagine themselves in the future, anticipate the consequences of their behaviour and plan ahead. This can sometimes cause problems and the author suggests ways to ; approach self-reflection in a positive manner.