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Computational Intelligence for Engineering and Management Applications de Prasenjit Chatterjee

Computational Intelligence for Engineering and Management Applications: Lecture Notes in Electrical Engineering, cartea 984

Editat de Prasenjit Chatterjee, Dragan Pamucar, Morteza Yazdani, Dilbagh Panchal
en Limba Engleză Hardback – 30 apr 2023

Prin parcurgerea acestui volum tehnic, cititorul va putea implementa soluții avansate de inteligență computațională pentru optimizarea proceselor industriale, de la sisteme de monitorizare a producției la distanță până la algoritmi de diagnostic medical. Ne-a atras atenția modul în care Computational Intelligence for Engineering and Management Applications reușește să integreze analiza datelor și algoritmii de învățare automată în domenii aparent divergente, precum ingineria termică, designul materialelor și managementul operațional. Suntem de părere că valoarea acestui volum rezidă în prezentarea unor studii de caz aplicate, cum ar fi utilizarea rețelelor neuronale de tip Wavelet pentru estimarea câmpurilor electrice sau dezvoltarea modulelor de realitate virtuală pentru controlul industrial.

Abordarea aleasă de editori, printre care se numără Prasenjit Chatterjee și Dragan Pamucar, diferă de cea din Applications of Computational Intelligence in Management & Mathematics de Madhusudhan Mishra prin faptul că este mai puțin abstractă și mult mai aplicabilă. În timp ce volumul lui Mishra se concentrează pe fundamentele matematice și mediile stocastice, lucrarea de față prioritizează execuția tehnică în inginerie. Această orientare practică este o continuare firească a operei editorului Prasenjit Chatterjee, care în Computational Intelligence for Modern Business Systems a explorat pilonii inteligenței computaționale, însă aici extinde aria de aplicabilitate către sisteme critice de infrastructură și sănătate.

Structura celor aproape 1000 de pagini reflectă o progresie riguroasă, pornind de la metode de selecție a echipamentelor sub medii utopice și avansând spre coordonarea turbinelor eoliene în micro-rețele sau detectarea dependențelor prin semnale EEG. Fiecare capitol funcționează ca o unitate de sine stătătoare, oferind specificații clare pentru implementarea tehnologiilor wireless în rețelele inteligente sau pentru utilizarea metodelor de tip ensemble în diagnosticarea clinică.

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Specificații

ISBN-13: 9789811984921
ISBN-10: 9811984921
Pagini: 976
Ilustrații: XXIII, 941 p. 364 illus., 284 illus. in color.
Dimensiuni: 160 x 241 x 54 mm
Greutate: 1.78 kg
Ediția:2023
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această lucrare profesioniștilor care doresc să treacă de la teorie la execuție în domeniul IA. Cititorul câștigă acces la metodologii verificate pentru rezolvarea problemelor complexe de inginerie și management, beneficiind de un ghid practic pentru utilizarea algoritmilor de optimizare în timp real, esențiali în industria 4.0 și în cercetarea academică avansată.

Despre autor

Editorii acestui volum sunt experți recunoscuți în domeniul analizei decizionale și al inteligenței computaționale. Prasenjit Chatterjee deține un portofoliu vast de lucrări axate pe aplicațiile practice ale învățării automate, de la informatica biomedicală explorată în Machine Learning in Biomedical and Health Informatics, până la optimizarea sistemelor de afaceri. Alături de Dragan Pamucar, acesta contribuie la dezvoltarea unor cadre metodologice noi, adaptate cerințelor actuale din ingineria electrică și managementul tehnologic, fiind o voce autoritară în comunitatea internațională de cercetare din cadrul Springer.

Descriere scurtă

This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.

Cuprins

An Integrated Approach for Robot Selection under Utopia Environment.- A Novel Soft Computing Technique for Hydroxyapatite Coatings Selection for Orthopedic Prosthesis.- Remote Production Monitoring System.- Application of Wavelet Neural Network for Electric Field Estimation.- Development of an industrial control virtual reality module for the application of electrical switchgear in practical applications.- Coordination of Wind Turbines and Battery Energy Storage Systems in Micro Grid.- Weather-aware selection of wireless technologies for neighborhood area network of Indian smart grid.- Intelligent System for Diagnosis of Pulmonary Tuberculosis Using Ensemble Method.- Alcoholic addiction detection based on EEG signals using Deep convolutional neural network.- Application of machine learning algorithms for cataract detection.

Notă biografică

Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 5400 citations with an h-index of 38 and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 30 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling. He is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the Guest Editor of several special issues in different SCIE / Scopus / ESCI (Clarivate Analytics) indexed journals. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

Dragan Pamucar is an Associate Professor at the University of Belgrade, Faculty of Organizational Sciences, Department of Operations Research and Statistics, Serbia. He received a Ph.D. in Applied Mathematics with a specialization in multi-criteria modeling and soft computing techniques, from the University of Defence in Belgrade, Serbia, in 2013 and a M.Sc. degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interest areas are computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough, and intuitionistic fuzzy set theory, neutrosophic theory. He has authored/co-authored over 70 papers published in SCI-indexed international journals including experts’ systems with applications, computational intelligence, computers, and industrial engineering technical gazette, sustainability, symmetry, water, etc.
 
Morteza Yazdani currently works at theUniversidad Internacional de Valencia, Madrid. Before, he worked as an Assistant Professor at Universidad Autonoma de Madrid, ESIC University and Universidad Loyola Andalucia, Spain. He has also worked at the University of Toulouse and the European University of Madrid as a post-doctoral researcher. He participated in the editorial board of the International Journal of Production Management and Engineering and is Reviewer of several international journals such as Expert Systems with Applications, Journal of Cleaner Production, Soft Computing and Applied Soft Computing, etc. His main research areas are decision-making modeling and fuzzy decision system for humanitarian supply chain and energy systems. He has published over 50 research papers in high-impact journals and peer-reviewed conferences.
 
Dilbagh Panchal is an Assistant Professor (Grade-I) in the Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Haryana, India. He worksin reliability and maintenance engineering, fuzzy decision-making, supply chain management, and operation management. He obtained his Bachelor (Hons.) in Mechanical Engineering from Kurukshetra University, Kurukshetra, India, in 2007 and Master’s in Manufacturing Technology in 2011 from Dr. B.R. Ambedkar National Institute of Technology Jalandhar, India. He has done his Ph.D. from the Indian Institute of Technology Roorkee, India, in 2016. He is presently supervising two Ph.D. scholars; five M. Tech dissertations have been guided by him, and two are in progress. He has published 25 research papers in SCI/Scopus-indexed journals. Five book chapters and one book have been also published by him under a reputed publisher. With this, six international conferences have been also attended by him. He also edited a book on advanced multi-criteria decision-making for addressing complex sustainability issues. He is currently a part of Associate Editors team of the International Journal of SystemAssurance and Engineering Management. He is currently serving as Active Reviewer of many reputed international journals.

Caracteristici

Presents state-of-the-art computational intelligence methods for solving engineering and management problems Discusses about the latest developments with a comprehensive literature Provides theoretical understanding as well as practical implementations