438 results on '"Verma, Brijesh"'
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2. Monocyte Distribution Width (MDW) in Patients with COVID-19: An Indicator of Disease Severity
3. Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
4. Deep Learning Model with GA based Feature Selection and Context Integration
5. Loss of LCMT1 and biased protein phosphatase 2A heterotrimerization drive prostate cancer progression and therapy resistance
6. A Novel Optimized Context-Based Deep Architecture for Scene Parsing
7. A Novel Explainable Deep Learning Model with Class Specific Features
8. A Novel Explainable Deep Learning Model with Class Specific Features
9. Facial Expression Analysis under Partial Occlusion: A Survey
10. Spatially Constrained Location Prior for Scene Parsing
11. Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation
12. Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation
13. Relationship aware context adaptive deep learning for image parsing
14. Fast Convolutional Neural Network with iterative and non-iterative learning
15. Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
16. NSD2 is a requisite subunit of the AR/FOXA1 neo-enhanceosome in promoting prostate tumorigenesis
17. Convolutional Neural Network Architecture with Exact Solution
18. Single class detection-based deep learning approach for identification of road safety attributes
19. An Over View of Different Types of Skills Needed for Library Professionals
20. Multiple strong and balanced cluster-based ensemble of deep learners
21. A non-specialized ensemble classifier using multi-objective optimization
22. Differential gene expression in peritumoral brain zone of glioblastoma: role of SERPINA3 in promoting invasion, stemness and radioresistance of glioma cells and association with poor patient prognosis and recurrence
23. Ensemble Classifier Generation Using Class-Pure Cluster Balancing
24. Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes
25. Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph
26. Conclusion and Future Insight
27. Case Study: Roadside Video Data Analysis for Fire Risk Assessment
28. Non-deep Learning Techniques for Roadside Video Data Analysis
29. Deep Learning Techniques for Roadside Video Data Analysis
30. Roadside Video Data Analysis Framework
31. Introduction
32. Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
33. Regulation of β-catenin by IGFBP2 and its cytoplasmic actions in glioma
34. Roadside vegetation segmentation with Adaptive Texton Clustering Model
35. Substrate Stiffness Modulates TGF-β Activation and ECM-Associated Gene Expression in Fibroblasts
36. Removing Bias from Diverse Data Clusters for Ensemble Classification
37. Monthly Rainfall Categorization Based on Optimized Features and Neural Network
38. A deep neural network and rule-based technique for fire risk identification in video frames
39. A novel approach for optimizing climate features and network parameters in rainfall forecasting
40. A Graph-based Context Learning Technique for Image Parsing
41. Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations
42. Abstract A055: NSD2 is a requisite and targetable subunit of the AR/FOXA1 neo-enhanceosome complex in prostate cancer cells
43. Monocyte Distribution Width (MDW) in Patients with COVID-19: An Indicator of Disease Severity
44. Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment
45. Position Gradient and Plane Consistency Based Feature Extraction
46. NSD2 is a requisite subunit of the AR/FOXA1 neo-enhanceosome in promoting prostate tumorigenesis
47. Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes
48. Spatial contextual superpixel model for natural roadside vegetation classification
49. Class-Semantic Color-Texture Textons for Vegetation Classification
50. An Improved RBF Neural Network Approach to Nonlinear Curve Fitting
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