CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints

CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints

Automated fish species classification is essential for marine biodiversity monitoring, fisheries management, and ecological research. However, challenges such as environmental variability, class imbalance, and computational demands hinder the development of robust classification models. This study i...

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Bibliographic Details
Main Authors: Amirhosein Mohammadisabet, Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Information
Subjects:
fish species classification
convolutional neural networks
hybrid deep learning models
transfer learning
data augmentation
turbidity simulation
Online Access:https://www.mdpi.com/2078-2489/16/2/154
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