SA
Shweta Agrawal
Indore Institute of Science & Technology, SAGE University, Devi Ahilya Vishwavidyalaya
Research areas: Computer Science · Artificial Intelligence · AI in cancer detection · Artificial Intelligence in Healthcare · Advanced Neural Network Applications
0000-0002-0372-6128
Employment
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Indore Institute of Science & Technology Professor and HOD2023 - Present
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SAGE University Professor2017 - 2023
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Devi Ahilya Vishwavidyalaya Assistant Professor2006 - 2017
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (40)
- Explainability-Based Optimized Deep Learning in Histopathological Diagnosis of Multiple Cancers and Development of Mobile Application Save
- Foundation-Guided Hybrid CNN-Transformer for Confidence-Aware Colon Histopathology Classification Save
- Hybrid deep learning for hyperspectral cube reconstruction in computed tomography imaging spectrometry via angular spectrum propagation Save
- A Method for Doctor's Handwritten Text Recognition by utilizing Deep learning and Ambiguity Handling Save
- Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique Save
- Student placement prediction using optimised ensemble machine learning approach Save
- Stacked Ensemble Learning Framework for Lung Disease Classification Save
- Optimized stacked classifier to predict Hepatitis B disease Save
- Potato Plant Leaf Disease Detection using optimized CNN and Transfer Learning Save
- A systematic review on deep learning‐based automated cancer diagnosis models Save
- A novel approach using hybrid deep features for citrus disease detection and classification based on NCA and Bayesian optimised random forest classifier Save
- Robust control of frequency considering operations of AC microgrid in islanded mode Save
- Methods for Assessing the Psychological Tension of Social Network Users during the Coronavirus Pandemic and Its Uses for Predictive Analysis Save
- Interrelated Solar and Thermal Plant Autonomous Generation Control Utilizing Metaheuristic Optimization Save
- A Novel Framework for Fetal Nuchal Translucency Abnormality Detection Using Hybrid Maxpool Matrix Histogram Analysis Save
- Performance and analysis of solar to vehicle and vehicle to grid integrated energy conversion technologies Save
- Predicting Lumbar Spondylolisthesis: A Hybrid Deep Learning Approach Save
- Rice plant diseases detection using convolutional neural networks Save
- COVID-19 Public Opinion: A Twitter Healthcare Data Processing Using Machine Learning Methodologies Save
- BVFLEMR: an integrated federated learning and blockchain technology for cloud-based medical records recommendation system Save