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) |
TITLE | A Survey on Pneumonia Detection Using Machine Learning V.M. Dilpak, Prof. Anjali S. khandagale, Yogesh Jadhav, Sakshi Kashid, Amit Ankalgikar, Dhanshri Kakade Lecturer, Department of Information Technology, AISSMS’s Polytechnic, Pune, Maharashtra, India HOD, Department of Information Technology, AISSMS’s Polytechnic, Pune, Maharashtra, India Student, Department of Information Technology, AISSMS’s Polytechnic, Pune, Maharashtra, India DOI: 10.15680/IJIRCCE.2023.1102048 |
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