Artificial Intelligence and Industrial Applications Algorithms, Techniques, and Engineering Applications /
| Corporate Author: | |
|---|---|
| Other Authors: | , , , |
| Summary: | XXII, 472 p. 261 illus., 197 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
|
| Edition: | 1st ed. 2023. |
| Series: | Lecture Notes in Networks and Systems,
772 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-43520-1 |
| Format: | Electronic Book |
Table of Contents:
- Learning to Irrigate - A model of the plant water balance
- Free and Unfree Weed Classification in Young Palm Oil Crops using Artificial Neural Network
- A Method for Bengali Author Detection using State of the Arts Supervised Machine Learning Classifiers
- Robust State of Charge Estimation and Simulation of Lithium-ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm
- Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review
- Contribution to Solving the Cover Set Scheduling Problem and Maximizing Wireless Sensor Networks Lifetime using an Adapted Genetic Algorithm
- Comparative Study between Double Vector Quantization Using SOM and GMM for Prediction Time Series Problem.