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 | Detection of Depression Indications in Text Sequences Using Neural Networks AKASH DOPPALAPUDI, VEERENDRA CHALLA, TARUNTHAMBI BONAGIRI, NIKHILESWAR JONNADULA, ASST PROF SHALINI TADI Dept. of ECE, VVIT, Namburu, Guntur, Andhra Pradesh, India Dept. of ECE, VVIT, Namburu, Guntur, Andhra Pradesh, India Dept. of ECE, VVIT, Namburu, Guntur, Andhra Pradesh, India Dept. of ECE, VVIT, Namburu, Guntur, Andhra Pradesh, India Dept. of ECE, VVIT, Namburu, Guntur, Andhra Pradesh, India DOI: 10.15680/IJIRCCE.2022.1005193 |
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| pdf/mrXpQISseJrcbEC32bf8YzqPuwhiDu8uPVgew7gu.pdf |
