CR
Ch Rajyalakshmi
Padmasri Dr BV Raju Institute of Technology
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Smart Agriculture and AI · IoT and Edge/Fog Computing
0000-0003-0799-2586
Employment
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Padmasri Dr BV Raju Institute of Technology Associate Professor2011 - 2021
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- SCWO-SNN: Snow carpet weaver optimization based spiking neural network for fraud detection in UPI transactions using federated learning Save
- AI and Plagiarism: Detection & Ethical Usage Save
- A Fog-Based Security Framework for Smart Agriculture Save
- CHESTX-PNEUMONET: OPTIMIZED CNN WITH NOVEL LOSS FUNCTION FOR PNEUMONIA DETECTION Save
- Hyperspectral Image: A Fusion-Based Extraction and Classification Utilizing Centernet Technique Save
- Language Translation And Transliteration Using Natural Language Proscessing(Nlp) Save
- Quick Wited Security System Save
- Real Time Face Mask Detector Save
- Spam Discovery in IoT Devices Using Time Series Data Save
- SUSTAINABLE SOLUTIONS: TREE ENUMERATION FOR INFORMED LANDUSE DECISIONS Save
- AgriFusion: Crop Recommendation System using Ensemble Learning Methods Save
- Enabling Smart Farming Through Edge Artificial Intelligence (AI) Save
- Image Based Plant Disease Detection Using Computer Vision Save
- AI-Driven Development of Smart Grid Infrastructure with Self-Healing Capabilities and Edge and Fog Computing Save
- Enabling smart farming through edge artificial intelligence (AI) Save
- Sustainable Solutions: Enhancing Tree Enumeration for Informed Land Use Decisions Save
- Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram Save
- Enhancing Object Detection and Tracking from Surveillance Video Camera Using YOLOv8 Save
- Compressed High Resolution Satellite Image Processing to Detect Water Bodies with Combined Bilateral Filtering and Threshold Techniques Save
- A Novel Architecture Implementation Using Multi Scale Shared Residual Network from Remote Sensing Images for Extracting Water Bodies Save