International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| papers | Survey on Attendance System
Using IOT and ML Prof.
Balaji Chaugule, Pratiket More, Siddheshwar More, Neha Patil, Sneha Kaimal Department of Information Technology, Zeal College of Engineering
and Research, Savitribai Phule Pune University, Pune, Maharashtra, India
DOI: 10.15680/IJIRCCE.2023.1103083 |
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| pdf/aSHRZY20wIuFP2d24wrbXRdm82YnibZfVuZtzdWA.pdf |
