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(0343)-2501353,2504106
Mob: +91-6297128554 | Email: info@bcrec.ac.in
CALL US
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18-07-2002 |
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ECE |
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185633 |
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O+ |
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HINDUISM |
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1-443712661 |
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18-07-2002 |
| Teaching | Research | Industry |
|---|---|---|
| 240 | 36 | 0 |
| Date | Title | Journal | DOI | Link |
|---|---|---|---|---|
| 19-10-2025 | DEEP LEARNING-BASED FAULT DETECTION AND CLASSIFICATION IN POWER DISTRIBUTION NETWORKS | LEX LOCALIS-JOURNAL OF LOCAL SELF-GOVERNMENT | DOI | View |
| 15-06-2025 | A Predictive Ai Framework For Proactive Pollution Control And Environmental Protection | International Journal of Environmental Sciences | DOI | View |
| 04-11-2024 | Machine Learning-Driven Nanomaterial Design: Predictive Modeling for Enhanced Performance in Electronics | Nanotechnology Perceptions | DOI | View |
| 09-07-2019 | Low Cost Solar Powered Wheelchair | Advances and Applications in Mathematical Sciences | DOI | View |
| 15-04-2018 | Scaling Analysis and Model estimation of Solar Corona Index | Advances in Space Research, Elsevier | DOI | View |
| Committee Name | Start Date | End Date |
|---|---|---|
| BUDGET AND PURCHASE COMMITTEE | 02-04-2024 | 03-06-2026 |
| Title | Patent Number | Patent Office | Date | Status | Country | Application No. | Abstract | Expiration Date |
|---|---|---|---|---|---|---|---|---|
| MACHINE LEARNING ALGORITHMS FOR IOT: POWERING INTELLIGENT SYSTEMS | 17/2025 | Office of the Controller General of Patents, Designs and Trade Marks, Department for Promotion of Industry and Internal Trade, Ministry of Commerce and Industry | 25-04-2025 | Published | India | 202431098520 | The invention introduces machine learning (ML) algorithms for Internet of T systems to enhance intelligence and performance. It integrates edge and cloud computing to efficiently deploy ML models on resource-constrained devices while red latency. The system utilizes federated learning, model pruning, and continuous adaptation to improve efficiency and accuracy. Data is processed and filtered to ensur relevant decision-making. Additionally, privacy-preserving techniques such as differential privacy are employed to secure sensitive data. This approach enables intellig adaptive, and scalable IoT systems capable of automating tasks and optimizing operations in real-time. | 15-08-1947 |
| Project Name | Start Date | End Date | Funded | Funding Agency | Agency Type | Role | Sanction Letter |
|---|---|---|---|---|---|---|---|
| AICTE IDEA LAB ,Additive and Subtractive manufacturing | 02-01-2021 | 03-06-2026 | Yes | AICTE | government | Member | No |