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 |
A Hybrid XGBoost and Per-Commodity LSTM Ensemble Model for Agri-Horticultural Price Forecasting with Recursive Future Prediction RITU BHAKAL, AKANKSSHA, SAI PRANEETH L, DR. LEELAMBIKA KV Department of Computer Science, Presidency University, Bengaluru, India Assistant Professor, Department of Computer Science, Presidency University, Bengaluru, India DOI: 10.15680/IJIRCCE.2025.13045074 |
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| pdf/k4CU9Ty67Hm3ylDPPwESneTUy7N6sgA68uigUUFc.pdf |
