Artificial Intelligence And Optimizing Techniques For Smart Information Generations
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Artificial Intelligence And Optimization Techniques For Smart Information System Generations
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Author : Aleem Ali
language : en
Publisher: CRC Press
Release Date : 2025-03-28
Artificial Intelligence And Optimization Techniques For Smart Information System Generations written by Aleem Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems. Focuses on extracting information from blockchain repository using artificial intelligence and machine learning algorithms Presents deep learning models to identify and locate objects within images and videos, making it possible for machines to perform tasks such as self-driving cars, surveillance, and robotics Discusses artificial intelligence and optimization techniques for geographic information system (GIS) generation such as spatial data processing Covers artificial intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, and linear regression Illustrates topics such as image recognition, natural language processing, fraud detection, information system security, and intrusion detection system
Artificial Intelligence And Optimizing Techniques For Smart Information System Generations
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Author : Aleem Ali
language : en
Publisher:
Release Date : 2025
Artificial Intelligence And Optimizing Techniques For Smart Information System Generations written by Aleem Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Business & Economics categories.
The text provides an understanding of ethical concerns regarding the use of artificial intelligence in diverse industries such as communication, healthcare, agriculture, and business. It discusses concepts such as geographic information system generation, intrusion detection system, and artificial intelligence tools for cybersecurity.
Artificial Intelligence And Optimizing Techniques For Smart Information Generations
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Author : Aleem Ali
language : en
Publisher:
Release Date : 2025
Artificial Intelligence And Optimizing Techniques For Smart Information Generations written by Aleem Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Artificial intelligence categories.
"The text discusses the importance of employing smart technologies such as artificial intelligence, and optimization techniques in the fields including transportation, manufacturing, communications, and healthcare. It further highlights the use of machine learning models for diverse tasks such as predictive maintenance, fraud detection, and forecasting. It covers smooth nonlinear optimization problems and optimization of accounting information systems for enterprises. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer science and engineering"--
Artificial Intelligence And Optimization Techniques For Smart Information System Generations
DOWNLOAD
Author : Aleem Ali
language : en
Publisher: CRC Press
Release Date : 2025-03-28
Artificial Intelligence And Optimization Techniques For Smart Information System Generations written by Aleem Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems. • Focuses on extracting information from blockchain repository using artificial intelligence and machine learning algorithms. • Presents deep learning models to identify and locate objects within images and videos, making it possible for machines to perform tasks such as self-driving cars, surveillance, and robotics. • Discusses artificial intelligence and optimization techniques for geographic information system (GIS) generation such as spatial data processing. • Covers artificial intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, and linear regression. • Illustrates topics such as image recognition, natural language processing, fraud detection, information system security, and intrusion detection system
Advances In Artificial Intelligence For Healthcare Applications
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Author : Anoop V.S
language : en
Publisher: CRC Press
Release Date : 2025-06-09
Advances In Artificial Intelligence For Healthcare Applications written by Anoop V.S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Technology & Engineering categories.
Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain. Features: Discusses advanced concepts such as biomedical large language models, and natural language processing applications Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
Next Generation Artificial Intelligence Driven Smart And Renewable Energy
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Author : Provas Kumar Roy
language : en
Publisher: CRC Press
Release Date : 2025-07-07
Next Generation Artificial Intelligence Driven Smart And Renewable Energy written by Provas Kumar Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Technology & Engineering categories.
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain. Key features: Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems Describes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantages Presents critical information on the technological design and policy issues that must be taken into considered while implementing a smart grid Explains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal scheduling Covers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimization The topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering.
Next Generation Smart Grids Modeling Control And Optimization
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Author : Surender Reddy Salkuti
language : en
Publisher: Springer Nature
Release Date : 2022-02-01
Next Generation Smart Grids Modeling Control And Optimization written by Surender Reddy Salkuti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Technology & Engineering categories.
This book is a collection of chapters describing the advanced and future aspects of smart grid technology. The book emphasizes technical issues, theoretical background and practical applications that drive postgraduates, researchers and practicing engineers with the right advanced skills, vision and knowledge who will further be capable of leading in teams involved in the modelling, control, design, and optimization of the future smart grids. This feature strengthens the benefits of the book for the readers who will gain an insightful understanding of future smart grid challenges including: (i) the formulation of decision-making models, (ii) the familiarization with efficient solution algorithms for such models and (iii) insights into these problems through the detailed analysis of numerous illustrative examples. Further the chapters in this book provide comprehensive coverage of modelling, control and optimization of smart grid which are quite different from most technical publications.
Intelligent Computing Techniques For Smart Energy Systems
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Author : Akhtar Kalam
language : en
Publisher: Springer Nature
Release Date : 2019-12-16
Intelligent Computing Techniques For Smart Energy Systems written by Akhtar Kalam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Technology & Engineering categories.
The book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.
Federated Learning For Neural Disorders In Healthcare 6 0
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Author : Kishor Kumar Reddy C
language : en
Publisher: CRC Press
Release Date : 2025-05-14
Federated Learning For Neural Disorders In Healthcare 6 0 written by Kishor Kumar Reddy C and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Technology & Engineering categories.
This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer’s disease using neural networks and ensuring data privacy and security in federated learning for neural disorders. This book: Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders Focuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging research Examines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and security Explores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learning Offers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examples It is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.
Deterministic Artificial Intelligence
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Author : Timothy Sands
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-05-27
Deterministic Artificial Intelligence written by Timothy Sands and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Computers categories.
Kirchhoff’s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton’s laws, while rotational motion mechanics comply with Euler’s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler’s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.