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 Comparative Analysis of Random Forest and Support Vector Machine Models for Enhancing Diabetes Prediction Using Machine Learning Deepali Gavhane, Kuldip Parbat, Rutvik Raut, Saisharan Pothnedi Assistant Professor, Department of M.C.A, G.H. Raisoni College of Engineering and MGMT, Wagholi, Pune, India P.G. Student, Department of M.C.A,G.H. Raisoni College of Engineering and MGMT, Wagholi, Pune, India DOI: 10.15680/IJIRCCE.2024.1205158 |
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| pdf/HvgvVmH5kSXCzAEk2NDxkLt4U0evc6PvT97Ax9xW.pdf |
