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Engineering Applications Of Ai And Swarm Intelligence

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Engineering Applications Of Ai And Swarm Intelligence

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Author : Xin-She Yang
language : en
Publisher: Springer
Release Date : 2024-10-17

Engineering Applications Of Ai And Swarm Intelligence written by Xin-She Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.

The book is focused on latest developments and findings on engineering applications of AI and swarm intelligence. It provides comprehensive reviews and surveys on implementations and coding aspects of case studies and applications where appropriate. The book is useful for scholars, lecturers, and practitioners from academia and industrial applications. The readership of this book also includes Ph.D. students and researchers with a wide experience in the subject areas.

Engineering Applications Of Ai And Swarm Intelligence

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Author : Xin-She Yang
language : en
Publisher: Springer Nature
Release Date : 2024-09-25

Engineering Applications Of Ai And Swarm Intelligence written by Xin-She Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Computers categories.

Artificial Intelligence Technologies For Engineering Applications

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Author : G. Sucharitha
language : en
Publisher: CRC Press
Release Date : 2025-01-21

Artificial Intelligence Technologies For Engineering Applications written by G. Sucharitha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Technology & Engineering categories.

This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry. This book discusses important topics such as algorithmic design, mathematical modeling, natural language processing, machine learning, and computer vision. This book: Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision‐making, and control systems Provides real‐world examples of the applications of artificial intelligence in engineering, drawing from a range of industries, including aerospace, automotive, and manufacturing Discusses technologies such as machine learning and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control This book 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 information technology.

Artificial Intelligence And Machine Learning Algorithms For Engineering Applications

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Author : Krishan Arora
language : en
Publisher: CRC Press
Release Date : 2025-09-16

Artificial Intelligence And Machine Learning Algorithms For Engineering Applications written by Krishan Arora and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Technology & Engineering categories.

This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design. Features: Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisions. Discusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problems. Provides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologies. Highlights the importance of using smart techniques including AI and ML in product design and development. Covers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturing. 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, manufacturing engineering, and environmental engineering.

Swarm Intelligence

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Author : Abhishek Sharma
language : en
Publisher: CRC Press
Release Date : 2022-02-08

Swarm Intelligence written by Abhishek Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with Technology & Engineering categories.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

Applications Of Artificial Intelligence In Business And Finance

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Author : Vikas Garg
language : en
Publisher: CRC Press
Release Date : 2021-12-22

Applications Of Artificial Intelligence In Business And Finance written by Vikas Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Business & Economics categories.

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Engineering Applications Of Modern Metaheuristics

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Author : Taymaz Akan
language : en
Publisher: Springer Nature
Release Date : 2022-12-04

Engineering Applications Of Modern Metaheuristics written by Taymaz Akan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-04 with Technology & Engineering categories.

This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Multidisciplinary Applications Of Ai Robotics And Autonomous Systems

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Author : Choudhury, Tanupriya
language : en
Publisher: IGI Global
Release Date : 2024-06-24

Multidisciplinary Applications Of Ai Robotics And Autonomous Systems written by Choudhury, Tanupriya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.

As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges bridging the gap between current capabilities and the potential for brilliant, autonomous machines. While exact and efficient, current robotic systems need more sophistication and adaptability of human intelligence. This limitation restricts their application in complex and dynamic environments, hindering their ability to realize their potential fully. Multidisciplinary Applications of AI Robotics and Autonomous Systems addresses these challenges by presenting cutting-edge research and innovative robotics and autonomous systems solutions. By exploring topics such as digital transformation, IoT, AI, and cloud-native computing paradigms, readers will understand the latest advancements in the field. The book delves into theoretical frameworks, computational models, and experimental approaches, offering insights to help researchers and practitioners develop more intelligent and autonomous machines.

Handbook Of Research On Artificial Intelligence Techniques And Algorithms

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Author : Vasant, Pandian
language : en
Publisher: IGI Global
Release Date : 2014-11-30

Handbook Of Research On Artificial Intelligence Techniques And Algorithms written by Vasant, Pandian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Computers categories.

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Handbook Of Ai Based Metaheuristics

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Author : Anand J. Kulkarni
language : en
Publisher: CRC Press
Release Date : 2021-09-01

Handbook Of Ai Based Metaheuristics written by Anand J. Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Engineering Applications Of Ai And Swarm Intelligence

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