Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture

A Mandal, AR Ghosh - Aquaculture International, 2024 - Springer
Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …

[HTML][HTML] Artificial intelligence in regenerative medicine: applications and implications

H Nosrati, M Nosrati - Biomimetics, 2023 - mdpi.com
The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or
substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as …

Research progress of computer vision technology in abnormal fish detection

C Liu, Z Wang, Y Li, Z Zhang, J Li, C Xu, R Du… - Aquacultural …, 2023 - Elsevier
Abnormal fish detection helps producers adjust breeding strategies in a timely manner to
prevent the occurrence of diseases and improve aquaculture efficiency and quality. The …

A Systematic Approach to Machine Learning for Cancer Classification

G Kaur, C Prabha, D Chhabra, N Kaur… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Cancer is a lethal disease that is frequently brought on by the accumulation of hereditary
disorders and many pathological alterations. Cancerous cells are aberrant, life-threatening …

Prediction of net mouth area for trawlers based on sea trials and machine learning

P Jia, H Xu, Z Du, Y Xie, C Zhao - Ocean Engineering, 2024 - Elsevier
The study investigates fishing gear parameters through sea trials to optimize fishing
efficiency of trawlers. We utilized the self-invented “winch retracting device with an …

[HTML][HTML] Optimizing XGBoost Performance for Fish Weight Prediction through Parameter Pre-Selection

M Hamzaoui, MOE Aoueileyine, L Romdhani… - Fishes, 2023 - mdpi.com
Fish play a major role in the human nutritional system, and farmers need to know the
accurate prediction of fish weight in order to optimize the production process and reduce …

Cyber Security Architecture for Safe Data Storage and Retrieval for Smart City Applications

R Tyagi, S Bagchi, G Kaur, N Sharma… - 2023 International …, 2023 - ieeexplore.ieee.org
The term “Smart City” refers to incentives for the development that combines “Purely digital
Connected City” and municipal government with the aid of ICT. By highlighting the …

VannameiVision: An Optimized Probabilistic Deep Learning for Susceptible Shrimp Larvae Detection

P Tiyapunjanit, T Siammai, K Klaythong… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
Detecting susceptible shrimp larvae presents a significant challenge that requires dedicated
effort, skill, and expertise. In this study, we propose an advanced approach that combines …

A Grouper Fish Mortality Prediction Model Using Transfer Learning Approach

A Yaman, R Saville, R Puspasari… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The grouper species holds considerable potential for aquaculture due to its high value. The
significant challenge of high mortality rates among groupers is addressed by utilizing buoy …

Naive Bayes Classifier-Based Smishing Detection Framework to Reduce Cyber Attack

G Kaur, KD Singh, J Arora, S Bagchi… - … Conference on Mobile …, 2023 - Springer
With the advancement of IT innovation, mobile computing expertise has lately become more
widely used by humans. Through the use of sophisticated devices like tablet PCs …