Deep learning for smart fish farming: applications, opportunities and challenges
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …
various fields, including aquaculture. DL creates both new opportunities and a series of …
Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish
D Li, L Du - Artificial Intelligence Review, 2022 - Springer
Monitoring the growth conditions and behavior of fish will enable scientific management,
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Early identification and prevention of various plant diseases is a key feature of precision
agriculture technology. This paper presents a high-performance real-time fine-grain object …
agriculture technology. This paper presents a high-performance real-time fine-grain object …
Deep transfer learning approaches for Monkeypox disease diagnosis
Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …
daily. Those infected with the disease often display various skin symptoms and can spread …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
NT-DPTC: a non-negative temporal dimension preserved tensor completion model for missing traffic data imputation
Missing traffic data imputation is an important step in the intelligent transportation systems.
Low rank approximation is an important method for the missing traffic data imputation …
Low rank approximation is an important method for the missing traffic data imputation …
A secure image encryption algorithm based on hyper-chaotic and bit-level permutation
D Wei, M Jiang, Y Deng - Expert Systems with Applications, 2023 - Elsevier
In this paper, an encryption algorithm based on hyper-chaotic system and bit-level
permutation is proposed. Firstly, the forward diffusion method based on two-dimensional …
permutation is proposed. Firstly, the forward diffusion method based on two-dimensional …