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, Tamil Nadu, India Associate Professor, Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Chennai, Tamil Nadu, India DOI: 10.15680/IJIRCCE.2024.1205015 |
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| pdf/tR6Oq9RCHbZfPGehsAyOzzSMltvkckMNNsKsKoOW.pdf |
