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 |
Revolutionizing Income Tax Fraud Detection using Techniques in Artificial Intelligence and Machine Learning Uday G, Ranganath R, Rohith M, Karthik Kumar SM, Abhishek V, Dr Saira Banu Atham Student, Department of Computer Science and Engineering, Presidency University, Bengaluru, Karnataka, India Professor & HOD, Department of Computer Science and Engineering, Presidency University, Bengaluru, Karnataka, India DOI: 10.15680/IJIRCCE.2024.1212074 |
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pdf/6N07FWLoV7azANk4fKG3w5aB9RIXKH2Mk1bGGztM.pdf |