Computational Intelligence and Data Analytics Proceedings of ICCIDA 2024 /
| 団体著者: | |
|---|---|
| その他の著者: | , , , |
| 要約: | XVIII, 438 p. 176 illus., 149 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| 版: | 1st ed. 2025. |
| シリーズ: | Lecture Notes on Data Engineering and Communications Technologies,
236 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-981-96-0451-7 |
| フォーマット: | 電子媒体 図書 |
目次:
- On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing
- Benchmarking Covariance Matrix Evolution Strategies on Autonomous Parking Navigation
- Easy accuracy improvement of fuzzy modelling using available datasets
- An Efficient Approach to Forest Fire Segmentation in Satellite Images using Superpixels based Fuzzy Clustering and CIELch Color Model
- An Improved XGBoost Classifier for MicroExpression Recognition using Hybrid Optimization Algorithm
- Detecting Equity Bubbles and Financial Crashes with Machine Learning.