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) |


TITLE AquaVision: A Web-Based Deep Learning Framework for Fish Detection, Species Classification, Instance Segmentation and AI-Assisted Health Assessment
ABSTRACT abstract
AUTHOR ANUSHREE S BAVIKATTI , HARSHITHA K S, KIRANMAYI H K, MANGALAGOURI V G, CHAITHRA G S UG Students, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India Assistant Professor, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India
VOLUME 190
DOI DOI: 10.15680/IJIRCCE.2026.1411011
PDF pdf/11_AquaVision A Web-Based Deep Learning Framework for Fish Detection.pdf
KEYWORDS
References References


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