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Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022 / edited by Vinit Kumar Gunjan, Amit Kumar, Jacek M. Zurada, Sri Niwas Singh.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Author/Creator:
Gunjan, Vinit Kumar.
Contributor:
Kumar, Amit.
Zurada, Jacek M.
Singh, S. N. (Sri Niwas)
Series:
Lecture Notes in Electrical Engineering, 1876-1119 ; 1106
Language:
English
Subjects (All):
Computational intelligence.
Machine learning.
Artificial intelligence--Data processing.
Artificial intelligence.
Computational Intelligence.
Machine Learning.
Data Science.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Machine Learning.
Data Science.
Artificial Intelligence.
Physical Description:
1 online resource (686 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
Contents:
Machine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS)
Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique
Placement Analysis – A New Approach to Ease the Recruitment Process
Continuous Assessment Analyzer using Django
Fuzzy Logic in Battery Energy Storage System (Bess)
Fault Classification of Cooling Fans using a CNN-based Approach
Violence Recognition using Convolutional Neural Networks
Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method
The Future of Car Automation Field with Smart Driverless Technologies
Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach
Automated Guided Vehicle Robot Localization with Sensor Fusion
Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up
Control of Thin McKibben Muscles in an Antagonistic Pair Configuration
Defect Severity Classification of Complex Composites using CWT and CNN
Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning
Industry Revolution 4.0 Knowledge Assessment in Malaysia.
ISBN:
9789819979547
9819979544
OCLC:
1423042355

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