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 | Efficient Child Nutrition status
Detection System through Machine Learning Prof. Madhav
Ingle, Ashwini Vaidya, Pooja Urmode, Prachi Jadhav, Pradnya Sonawane Dept. of Computer, Jayawantrao Sawant College of Engineering,
Pune, SPP University, India B. E Student, Dept. of Computer, Jayawantrao Sawant College
of Engineering, Pune, SPP University, India
DOI: 10.15680/IJIRCCE.2021.0906177 |
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pdf/Ti5VMqYGRPc0GqRXVguVU4yPXlGRaj2T7K6HL0LO.pdf |