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 | Enhancing Credit Card Fraud Detection using Machine Learning and Blockchain: A Novel Approach with Anomaly Detection and Deep Learning Techniques Madhavi J Kulkarni, Katuri Sravanthi Ravi, Geethanjali V, S K L Narayana, Krishna K S Assistant Professors, Department of Electronics and Communication Engineering, City Engineering College, Bengaluru, Karnataka, India DOI: 10.15680/IJIRCCE.2021.0901045 |
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| pdf/HUid5JNFai8pnGj3RhRDVXGGPAq3vSBJZ5bMEhzi.pdf |
