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 | A Survey on Statistical Framework for Detecting Electricity Theft Activities in Smart Grid Distribution Networks Chaitanya Karnakar, Krishna Patil, Aditya Karkhele, Yash Mulik, Dr.Geeta Navale UG Student, Dept. of Computer Science, Sinhgad Institute of Technology and Science, Narhe, Pune, India Dept. of Computer Science, Sinhgad Institute of Technology and Science, Narhe, Pune, India DOI: 10.15680/IJIRCCE.2023.1105051 |
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| pdf/ti8qhN0Pj4mTLJ8vyC6AHQI1b3JH4hfCTcVRpliz.pdf |
