ISBN:
9789811984938
Language:
English
Pages:
1 Online-Ressource(XXIV, 941 p. 365 illus., 284 illus. in color.)
Edition:
1st ed. 2023.
Series Statement:
Lecture Notes in Electrical Engineering 984
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Computational intelligence.
;
Artificial intelligence.
;
Computer engineering.
;
Computer networks .
Abstract:
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.
Abstract:
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.
DOI:
10.1007/978-981-19-8493-8
