Power Engineering and Intelligent Systems Proceedings of PEIS 2024, Volume 2 /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Περίληψη: | XVI, 535 p. 275 illus., 243 illus. in color. text |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Έκδοση: | 1st ed. 2024. |
| Σειρά: | Lecture Notes in Electrical Engineering,
1247 |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-981-97-6714-4 |
| Μορφή: | Ηλεκτρονική πηγή Βιβλίο |
Πίνακας περιεχομένων:
- 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.