Prof. Priti Shinde
Assistant Professor
- pritishinde@jspmjscoe.edu.in
About Me
Qualifications
- M. E (Digital System )
Total Experience
- Teaching Experience: 02
- Industrial Experience: Nil
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- Area of Interest: AIML
- Research Interest: AIML
- Technical Skills: Python, Embedded C
- Certifications: NIL
- Professional Membership and Contributions: NIL
- Embedded System
- Consumer Electronics
- Python Programming
- Cloud Computing.
| Title of Paper | Type | Name of Journal | Year of Publication |
|---|---|---|---|
| Detection of Arrhythmia Disease using CNN | UGC Care | Web of Science indexed, International Journal of Interactive Multimedia and Artificial Intelligence, 20 Apr 2024 | 2024 |
| Prediction of Cardiac Arrhythmia using Random Forest Machine Learning Algorithm | SCOPUS | JETIR Journal of Emerging Technologies and Innovative Research, Volume 11 , Issue 3 ,2024-03-16,with doi https://doi.org/10.5281/zenodo.10828678 | 2024 |
| Detection of Arrhythmia Disease using CNN | UGC Care | 14th Post Graduate (PG) Conference “ePGPEX -2024" for Electronics & Telecommunication in association with Board of Studies, E&TC Savitribai Phule Pune University, Pune on 12th June 2024 | 2024 |
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