AOUDUMBER LONDHE
Smt. kashibai Navale college of Engineering
Research areas: Environmental Science · Water Science and Technology · Water Quality Monitoring Technologies · Advanced Neural Network Applications · Smart Agriculture and AI
0009-0009-1884-7211
About
Mr. Aoudumber D. Londhe is Research Scholar at Department of Computer Science and Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon (Bk), Pune under Savitribai Phule Pune University (SPPU), Pune. He has completed his B.E. Computer Science and Engineering Shivaji University Kolhapur , Maharashtra, India. He has received M.E. in Computer Engineering from Department of Computer Engineering, Sinhgad Institute of Technology, Lonavala, Pune under Savitribai Phule Pune University (SPPU), Pune. His interests are in the Internet of Things, Cyber Security and Deep Learning. He has 17 Years of Teaching Experience.
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Smt. kashibai Navale college of Engineering
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Publications (18)
- Deep Learning Advancements in Plant Disease Detection: Hybrid Frameworks, Attention Models, Multimodal Models and Evolving Trends Save
- Fossa Greylag Goose algorithm–enabled hybrid deep learning for aqua quality status prediction using federated learning in IoT Save
- A Systematic Review of Denial-of-Service Attack Resilience in IEEE 802.11 Networks Save
- A modular deep learning architecture for interpretable disease prediction across tabular clinical and biometric datasets Save
- Advancements in Plant Disease Classification Using Deep Learning: Trends, Hybrid Models, and Future Directions Save
- Deep Learning-Enabled Precision Agriculture: Emerging Approaches for Plant Disease Detection from CNNs to Hybrid and Transformer Models Save
- Empirical Study of Aqua Quality Prediction Techniques in Distributed Learning Save
- Explainable AI for Data Leakage Detection: Enhancing Trust in Deep Learning-Based Security Systems Save
- Exploring Hybrid Deep Learning Models for Water Quality Forecasting: A Comprehensive Review of Methods and Challenges Save
- MESHMIND: DECENTRALIZED LAN-BASED COORDINATION FOR LARGE LANGUAGE MODELS: DESIGN, IMPLEMENTATION, AND EVALUATION Save
- Pragmatic Augmentation in Aqua Status Prediction Using Hybrid Learning Techniques and Optimization Save
- Smart Water Temperature Modulation Bottle Save
- WSN-IoT enabled Fractional Eel and Grouper Optimizer based Siamese Convolutional Neural Network for aqua quality prediction in distributed environment Save
- Fuzzy and Encryption-Based Mutual and Multi-level Authentication Scheme for DOS Attack Mitigation in IoT Save
- Mitigating Denial of Service in IEEE 802.11 Through Computational Puzzle Save
- Reaction Rumble : A Facial Expression Recognition Application using CNN Save
- Aqua Status Prediction Using IoT and Optimization in Aquaculture: A Comprehensive Review Save
- Ecological Restoration of Soil Plant System by Earthworms based on Image Segmentation Algorithm Save