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 |
Predict the Disease Based on Symptoms Using RNN Techniques Abinaya T, Kaneshiya S, Jeya Ramya V U.G. Student, Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Chennai, India Professor, Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Chennai, India DOI: 10.15680/IJIRCCE.2024.1204359 |
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| pdf/Du2diBhdPFSyAm8ms4oGOEbEBXvhsQRpybViYAbV.pdf |
