Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021
| 団体著者: | |
|---|---|
| その他の著者: | , , , , |
| 要約: | XXXVIII, 751 p. 356 illus., 286 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
|
| 版: | 1st ed. 2022. |
| シリーズ: | Lecture Notes in Networks and Systems,
437 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-981-19-2445-3 |
| フォーマット: | 電子媒体 図書 |
目次:
- Part 1: Artificial Intelligence for Detection and Prediction
- Chapter 1. ColorNet: A Deep Learning Based Approach to Colorize the Historical Documentaries of Bangladesh
- Chapter 2. A Methodology for Recommending In-Vehicle Coupons Incorporating Machine Learning Algorithms for Efficient Financial Schemes
- Chapter 3. A Deep Convolutional Neural Network-Based Approach to Classify and Detect Crack in Concrete Surface Using Xception
- Chapter 4. Machine Learning-based Physical Exercise Identification with Heuristic Optimized Features Prioritization
- Chapter 5. Modelling Lips-State Detection Using CNN for Non-Verbal Communications
- Chapter 6. Depression Level Prediction during Covid-19 Pandemic among the People of Bangladesh using Ensemble Technique: MIRF Stacking and MIRF Voting
- Chapter 7. HandFruitNet: A Deep Learning Based Model for Fruits Classification from Hand
- Chapter 8. Entrepreneurship education and entrepreneurial intention of business graduates: Does Artificial Intelligence matter?
- Chapter 9. COVID-19 Chest X-Ray Classification with Augmented GAN
- Part 2: Artifical Intelligence for Smart City Applications
- Chapter 10. Computer Vision-based Waste Detection and Classification for Garbage Management and Recycling
- Chapter 11. A System dynamics approach of decisive policy measures for sustainable municipal solid waste management in Khulna city of Bangladesh
- Chapter 12. Prediction of Soil Nutrients using Hyperspectral Satellite Imaging
- Chapter 13. A Machine Learning Approach to Season Prediction Based on Agricultural Input Orders
- Chapter 14. Assessment of Water Quality in Smart City Environment Leveraging ML-IoT
- Chapter 15. Smart IoT-Biofloc water management system using Decision regression tree. etc.