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 |
Improving Sepsis Prediction Performance Using Conditional Recurrent Adversarial Networks Dr. M. Karuppasamy, Poonam Gowda CS, V H Parinith, Yashaswini U B Associate Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India DOI: 10.15680/IJIRCCE.2024.1208046 |
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| pdf/1yLb8Kzb9TAnkmXZYBSjeRzqtI8l4ZvRyGriJ9yB.pdf |
