Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Author : Deepak Sinwar
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials written by Deepak Sinwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Author : Deepak Sinwar
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials written by Deepak Sinwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.
Artificial Intelligence Of Things Aiot
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Author : Fadi Al-Turjman
language : en
Publisher: Elsevier
Release Date : 2024-09-11
Artificial Intelligence Of Things Aiot written by Fadi Al-Turjman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Computers categories.
Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency. - Provides readers with up-to-date and comprehensive information on the latest advancements in AIoT, including wireless technologies, pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power - Explores the possibilities of new domains, services, and business models that can be created using AIoT - Discusses the potential impact of AIoT on society, including its potential to improve efficiency, reduce costs, and enhance quality of life
Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0
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Author : Joseph Bamidele Awotunde
language : en
Publisher: CRC Press
Release Date : 2025-06-17
Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0 written by Joseph Bamidele Awotunde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.
Computational Intelligence In Sustainable Reliability Engineering
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Author : S. C. Malik
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-16
Computational Intelligence In Sustainable Reliability Engineering written by S. C. Malik 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 2023-02-16 with Technology & Engineering categories.
COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.
Illustrating Digital Innovations Towards Intelligent Fashion
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Author : Pethuru Raj
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Illustrating Digital Innovations Towards Intelligent Fashion written by Pethuru Raj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
This book presents the mass manufacturing and manifestation of smart clothes that have decisively kick-started the fashion industry With the flourishing of edge and digitization technologies, every tangible thing in and around us is all set to become digitized. The arrival of advanced communication and digitalization technologies has made any digitized entity to be connected and cognitive. With this transition, the textile industry is strategizing to leverage the improvisations being accomplished in the digital era to design, develop, and deliver digitally enabled dresses and clothes. Smart attires are fabrics bedded with ultrathin, flexible and transparent detectors, selectors, electronics, and connectivity, and there are nano-creators to power smart dresses. The mass manufacturing and manifestation of smart clothes have decisively kick-started the fashion industry. The readers will come across the implementation technologies and the research results of virtual try-on, body size and pose estimation, diffusion-based fashion synthesis, etc.
Shallow Learning Vs Deep Learning
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Author : Ömer Faruk Ertuğrul
language : en
Publisher: Springer Nature
Release Date : 2024-10-12
Shallow Learning Vs Deep Learning written by Ömer Faruk Ertuğrul and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Mathematics categories.
This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep learning, and examines their applications across various domains. Shallow Learning vs Deep Learning: A Practical Guide for Machine Learning Solutions emphasizes that the choice of a machine learning approach should be informed by the specific characteristics of the dataset, the operational environment, and the unique requirements of each application, rather than being influenced by prevailing trends. In each chapter, the book delves into different application areas, such as engineering, real-world scenarios, social applications, image processing, biomedical applications, anomaly detection, natural language processing, speech recognition, recommendation systems, autonomous systems, and smart grid applications. By comparing and contrasting the effectiveness of shallow and deep learning in these areas, the book provides a framework for thoughtful selection and application of machine learning strategies. This guide is designed for researchers, practitioners, and students who seek to deepen their understanding of when and how to apply different machine learning techniques effectively. Through comparative studies and detailed analyses, readers will gain valuable insights to make informed decisions in their respective fields.
Using Computational Intelligence For Sustainable Manufacturing Of Advanced Materials
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Author : Muduli, Kamalakanta
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Using Computational Intelligence For Sustainable Manufacturing Of Advanced Materials written by Muduli, Kamalakanta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Business & Economics categories.
The shift toward sustainable manufacturing is vital for addressing the pressing environmental challenges of the 21st century. By integrating sustainability principles, manufacturing processes can minimize resource consumption, reduce greenhouse gas emissions, and extend product lifecycles. This approach emphasizes designing for regeneration, using eco-friendly materials, and adopting advanced digital technologies like artificial intelligence (AI), Internet of Things (IoT), and blockchain to optimize production and promote environmental stewardship. Sustainable manufacturing not only mitigates ecological harm but also fosters innovation, enhances competitiveness, and supports long-term economic and societal resilience. Adopting such practices is essential for transitioning to a more responsible and sustainable global economy. Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials highlights how the application of computational intelligence techniques can promote resource and environmental sustainability in manufacturing systems and operational practices. It further examines how sustainable practices and advanced technologies in materials manufacturing can revolutionize production processes while minimizing environmental impact and promoting resource efficiency. Covering topics such as energy storage, nanoparticles, and biomaterials, this book is an excellent resource for computer scientists, business professionals, manufacturers, environmentalists, researchers, professionals, scholars, academicians, and more.
Advanced Mathematical Techniques In Computational And Intelligent Systems
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Author : Sandeep Singh
language : en
Publisher: CRC Press
Release Date : 2023-11-20
Advanced Mathematical Techniques In Computational And Intelligent Systems written by Sandeep Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Computers categories.
This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods. Discusses advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems. Provides a useful guide toward the development of a sustainable model for disaster management. Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries. Covers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory. Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing. Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.
Natural Language Processing And Information Retrieval
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Author : Muskan Garg
language : en
Publisher: CRC Press
Release Date : 2023-11-28
Natural Language Processing And Information Retrieval written by Muskan 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 2023-11-28 with Computers categories.
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.