56 results on '"Verma, Brijesh"'
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2. A Novel Explainable Deep Learning Model with Class Specific Features
3. A Novel Optimized Context-Based Deep Architecture for Scene Parsing
4. Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
5. Convolutional Neural Network Architecture with Exact Solution
6. Ensemble Classifier Generation Using Class-Pure Cluster Balancing
7. Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes
8. Roadside Video Data Analysis Framework
9. Conclusion and Future Insight
10. Introduction
11. Deep Learning Techniques for Roadside Video Data Analysis
12. Monthly Rainfall Categorization Based on Optimized Features and Neural Network
13. Removing Bias from Diverse Data Clusters for Ensemble Classification
14. Case Study: Roadside Video Data Analysis for Fire Risk Assessment
15. Non-deep Learning Techniques for Roadside Video Data Analysis
16. Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment
17. Position Gradient and Plane Consistency Based Feature Extraction
18. An Improved RBF Neural Network Approach to Nonlinear Curve Fitting
19. Class-Semantic Color-Texture Textons for Vegetation Classification
20. Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions
21. A Neural Ensemble Approach for Segmentation and Classification of Road Images
22. Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification
23. A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms
24. Machine Learning Techniques in Handwriting Recognition
25. An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers
26. An Automated System for the Analysis of the Status of Road Safety Using Neural Networks
27. Non–uniform Layered Clustering for Ensemble Classifier Generation and Optimality
28. Multicluster Class-Based Classification for the Diagnosis of Suspicious Areas in Digital Mammograms
29. Hybrid Data Mining for Medical Applications
30. An Automatic Intelligent Language Classifier
31. Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition
32. Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions
33. Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
34. Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network
35. A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography
36. A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns
37. Combination Strategies for Finding Optimal Neural Network Architecture and Weights
38. A Neural Network for Real-World Postal Address Recognition
39. Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment.
40. Position Gradient and Plane Consistency Based Feature Extraction.
41. Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
42. Neural Networks for Content-Based Image Retrieval
43. Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
44. Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
45. An Improved RBF Neural Network Approach to Nonlinear Curve Fitting.
46. Class-Semantic Color-Texture Textons for Vegetation Classification.
47. A Neural Ensemble Approach for Segmentation and Classification of Road Images.
48. Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification.
49. Non–uniform Layered Clustering for Ensemble Classifier Generation and Optimality.
50. An Automatic Intelligent Language Classifier.
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