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 |
Attendance System Using Face Recognition Enhancing Accuracy and Efficiency in Employee or Student Attendance Tracking Sakpal Girish Dayaghan, Pilwalkar Aryan Prakash, Khan Alfia Shamsul, Malik Reshma Shafaat, Prof. Chaitanyanaresh Rathod, Prof. Junaid Mandviwala Department of Artificial Intelligence and Data Science, Rizvi College of Engineering, Bandra, Mumbai, India DOI: 10.15680/IJIRCCE.2024.1210040 |
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| pdf/rvFFHTyrDcAGteSmr5qLRpQFIsXk5tq1H20vEmY9.pdf |
