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Author: Irfan Ali
Publisher: CRC Press
ISBN: 1040164625
Category : Computers
Languages : en
Pages : 335
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Book Description
This book comprehensively discusses nature‐inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‐objective optimization under Fermatean hesitant fuzzy and uncertain environment. This book: Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problem Presents an overview of artificial intelligence (AI) and explainable AI decision‐making (XAIDM) and illustrates a data‐driven optimization concept for modeling environmental and economic sustainability Discusses machine learning‐based multi‐objective optimization technique for load balancing in integrated fog‐cloud environment Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals Discusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M‐estimation of functional regression operator, and intuitionistic fuzzy sets applications The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.
Author: Irfan Ali
Publisher: CRC Press
ISBN: 1040164625
Category : Computers
Languages : en
Pages : 335
Get Book Here
Book Description
This book comprehensively discusses nature‐inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‐objective optimization under Fermatean hesitant fuzzy and uncertain environment. This book: Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problem Presents an overview of artificial intelligence (AI) and explainable AI decision‐making (XAIDM) and illustrates a data‐driven optimization concept for modeling environmental and economic sustainability Discusses machine learning‐based multi‐objective optimization technique for load balancing in integrated fog‐cloud environment Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals Discusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M‐estimation of functional regression operator, and intuitionistic fuzzy sets applications The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.
Author: Kalita, Kanak
Publisher: IGI Global
ISBN: 1799872084
Category : Technology & Engineering
Languages : en
Pages : 298
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Book Description
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
Author: Irfan Ali (Statistician)
Publisher:
ISBN: 9781032821207
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
"This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility. This book: Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing. Presents a comparative analysis of machine learning algorithms for the power consumption prediction. Discusses machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment. Illustrates a data-driven optimization concept for modeling environmental and economic sustainability. Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals. The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering"--
Author: Asaju La'aro Bolaji
Publisher:
ISBN: 9781032621661
Category : Computers
Languages : en
Pages : 0
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Book Description
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment. This Book: Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the Fuzzy Inference System in Ant Colony Optimization for Travelling Salesman Problems Presents an overview of AI and Explainable AI Decision-Making XAIDM and illustrates a data-driven optimization concept for modelling environmental and economic sustainability. Discusses Machine Learning based Multi Objective Optimization Technique for Load Balancing in Integrated Fog Cloud Environment. Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals. Discusses Sustainable Transit of Hazardous Waste, Green Fractional Transportation System, Perishable Inventory, M-Estimation of Functional Regression Operator and Intuitionistic Fuzzy Sets applications. The text is primarily written for graduate students, and academic researchers in diverse fields including operations research, mathematics, statistics, computer science, information and communication technology and industrial engineering.
Author: Gloria Phillips-Wren
Publisher: Springer Science & Business Media
ISBN: 3540768289
Category : Mathematics
Languages : en
Pages : 414
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Book Description
Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.
Author: A. Prema
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 20
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Book Description
Data warehouse is one of the components of the overall business intelligence system. An enterprise has one data warehouse, and data marts source has their information from the data warehouse. The Data warehouse is a corporation of all data marts within the enterprise. Information is always accumulated in the dimensional model. In this paper, an intelligent data repository with soft computing is presented. It covers similarity metrics that are commonly used to improve the efficiency of data storages. It also covers multiple decision making methodologies to improve the efficiency of decision making.
Author: Lopa Mandal
Publisher: Springer Nature
ISBN: 9811916578
Category : Technology & Engineering
Languages : en
Pages : 466
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Book Description
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
Author: Celebi, Numan
Publisher: IGI Global
ISBN: 1522500766
Category : Computers
Languages : en
Pages : 374
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Book Description
Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Intelligent Techniques for Data Analysis in Diverse Settings addresses the specialized requirements of data analysis in a comprehensive way. This title contains a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organizational aspects of the field. This book is ideally designed for IT professionals and students, data analysis specialists, healthcare providers, and policy makers.
Author: Mandal, Jyotsna Kumar
Publisher: IGI Global
ISBN: 1522500596
Category : Computers
Languages : en
Pages : 1199
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Book Description
Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.
Author: R.S. Walia
Publisher: CRC Press
ISBN: 1000798682
Category : Technology & Engineering
Languages : en
Pages : 315
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Book Description
Surface engineering is considered an important aspect in the reduction of friction and wear. This reference text discusses a wide range of surface engineering technologies along with applications in a comprehensive manner. The book describes various methods in surface engineering technology with a thorough explanation of various aspects of each process that comes under this domain. Apart from an enhanced explanation of the process and its attributes, this book also gives insight into the types of materials, applications, and optimization of surface engineering techniques. It discusses important topics including surface engineering of the functionality of graded materials, materials characterization, processing of biomaterials, design, surface modification technologies and process control, smart manufacturing, artificial intelligence, and machine learning applications. The book: discusses computational and simulation analyses for better selection of process parameters covers optimizations of processes with state-of-the-art technologies discusses applications of surface engineering in medical, agricultural, architecture engineering, and allied sectors covers processing techniques of biomaterials in surface engineering The text is useful for senior undergraduate, graduate students, and academic researchers working in diverse areas such as industrial and production engineering, mechanical engineering, materials science, and manufacturing science. It covers a hybrid process for surface modification, modeling techniques, and issues in surface engineering.
