Intelligence Enabled Research DoSIER 2019 /
| Institutionell upphovsman: | |
|---|---|
| Övriga upphovsmän: | , , |
| Sammanfattning: | XVIII, 131 p. 73 illus., 31 illus. in color. text |
| Språk: | engelska |
| Publicerad: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2020.
|
| Upplaga: | 1st ed. 2020. |
| Serie: | Advances in Intelligent Systems and Computing,
1109 |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/978-981-15-2021-1 |
| Materialtyp: | Elektronisk Bok |
Innehållsförteckning:
- 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.