Intelligence Enabled Research DoSIER 2019 /
| Співавтор: | |
|---|---|
| Інші автори: | , , |
| Резюме: | XVIII, 131 p. 73 illus., 31 illus. in color. text |
| Мова: | Англійська |
| Опубліковано: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2020.
|
| Редагування: | 1st ed. 2020. |
| Серія: | Advances in Intelligent Systems and Computing,
1109 |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-981-15-2021-1 |
| Формат: | Електронний ресурс eКнига |
Зміст:
- Chapter 1. Vehicle Pollution Detection from Images using Deep Learning
- Chapter 2. Single-Image De-raining using GAN for Accurate Video Surveillance
- Chapter 3. Towards a Framework for Performance Testing of Metaheuristics
- Chapter 4. Automatic Clustering of Hyperspectral Images using Qutrit Based Particle Swarm Optimization
- Chapter 5. Multi-Class Image Segmentation using Theory of Weak String Energy and Fuzzy Set
- Chapter 6. Stabilization of Non Linear Optimum Control using ASRE Method
- Chapter 7. Patient-Specific Seizure Prediction using the Convolutional Neural Networks
- Chapter 8. A Deep Learning Approach for the Classification of Rice Leaf Diseases
- Chapter 9. Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study
- Chapter 10. Implications of Nonlinear Control over Traditional Control for Alleviating Power System Stability Problem
- Chapter 11. Towards Sustainable Indian Smart Cities: An AHP study
- Chapter 12. Temporal Sentiment Analysisof the Data from Social Media to Early Detect Cyberbullicide Ideation of a Vicitm by using Graph based Approach and Datamining Tools
- Chapter 13. Intelligent Color Image Watermarking using Phase Congruency
- Chapter 14. Local Shearlet Energy Gammodian Pattern (LSEGP): A scale space binary shape descriptor for texture classification.