VA
Vatsala Anand
Maharaja Agrasen University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · AI in cancer detection · Smart Agriculture and AI
0000-0001-6143-250X
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Publications (224)
- AI-powered precise diagnosis and automated nail disease detection using a fused CNN–CapsNet model Save
- Design of energy efficient 6G communication system using two block resource algorithm Save
- Enhancing cardiovascular diagnostics using fused capsule network for heartbeat sound classification Save
- Integrated Feature Fusion in Multiclass Maize Leaf Disease Recognition Save
- Multi-class classification of brain tumors using optimized CNN and transfer learning techniques Save
- Optimizing federated learning for maize leaf disease classification using internet of agricultural things Save
- Transformers meet CNNs for insights into breast mass classification from histopathological images Save
- UV degradation of cationic aromatic aryl dyes mixture by Cobalt nanoparticles doped coconut husk biochar (CoNPs@ChBc); A radical trapping study by a mechanistic approach Save
- A CNN Architecture for Distinguishing Pebbles and Shells in Coastal Image Save
- A Deep Learning Framework for Crisis-Level Detection of Tan Spot Infection in Wheat Crops Save
- A Hybrid CNN-SVM Model for Accurate Classification of Orange Leaf Diseases Save
- A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO Save
- AI-Driven Colon Disease Diagnosis Comprehensive MobileNetV2 Analysis with Biomarkers and Advanced Imaging Save
- CNN-Driven Hybrid Model for High-Precision Apple Leaf Disease Recognition Save
- CNN-Driven Hybrid Model for High-Precision Apple Leaf Disease Recognition Save
- Combating Banana Crop Losses: A CNN-Random Forest Model for Leaf Disease Classification Save
- Combating Banana Crop Losses: A CNN-Random Forest Model for Leaf Disease Classification Save
- Deep Feature Learning and Hybrid Classification for Indian Coin Recognition Save
- Deep Learning-Based Inspection of Material Extrusion Defects Using CNN and KNN Save
- Deep learning model for early acute lymphoblastic leukemia detection using microscopic images Save