Power Engineering and Intelligent Systems Proceedings of PEIS 2024, Volume 2 /

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Shrivastava, Vivek (Editor), Bansal, Jagdish Chand (Editor), Panigrahi, B. K. (Editor)
Summary:	XVI, 535 p. 275 illus., 243 illus. in color. text
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Lecture Notes in Electrical Engineering, 1247
Subjects:	Computational intelligence. Electric power production. Electric machinery. Artificial intelligence. Computational Intelligence. Electrical Power Engineering. Electrical Machines. Artificial Intelligence.
Online Access:	https://doi.org/10.1007/978-981-97-6714-4
Format:	Electronic Book

Table of Contents:

Chapter 1: Study of the Optimal Sizing of Battery Energy Storage Systems for Microgrid Applications
Chapter 2: Integrated State of Charge and State of Health Method for Operating Range Prediction in Electric Vehicles
Chapter 3: Crime Prediction Using Ensemble Machine Learning Approach
Chapter 4: Gated Recurrent Unit with Attention mechanism for IC50 Prediction model using Amyotrophic Lateral Sclerosis Related Proteins
Chapter 5: Exploring Echo State Network for Detection of Gait Freezing in Parkinson's Patients Optimized through Modified Metaheuristics
Chapter 6: Computer Vision-Based Self-Inflicted Violence Detection in High-Rise Environments using Deep Learning
Chapter 7: Two Sliding Mode Control Strategies for Maglev Systems with Help of Kalman Filter
Chapter 8: A Deep Learning Framework on Embedded ADAS Platform for Lane and Road Detection
Chapter 9: Innovative Convolutional Neural Network Approach to Enhance Real-Time Face Recognition Accuracy
Chapter 10: Tomato Plant Leaf Disease Prediction and Suggestion Using Deep Learning. etc.

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