[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis

IA Adeyanju, OO Bello, MA Adegboye - Intelligent Systems with …, 2021 - Elsevier
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

Deep learning for visual recognition and detection of aquatic animals: A review

J Li, W Xu, L Deng, Y Xiao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

[HTML][HTML] Biofloc technology in fish aquaculture: A review

YB Yu, JH Choi, JH Lee, AH Jo, KM Lee, JH Kim - Antioxidants, 2023 - mdpi.com
The application of biofloc to fish species has several advantages, including the
enhancement of production by increasing growth performance and survival rate and the …

[HTML][HTML] Overview of smart aquaculture system: Focusing on applications of machine learning and computer vision

TTE Vo, H Ko, JH Huh, Y Kim - Electronics, 2021 - mdpi.com
Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …

[HTML][HTML] Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends

H Rastegari, F Nadi, SS Lam, M Ikhwanuddin… - Smart Agricultural …, 2023 - Elsevier
Aquaculture produces nearly half of the seafood consumed by the ever-growing world
population. There have been attempts to adopt novel technologies into the industry to …

Broodstock breeding behaviour recognition based on Resnet50-LSTM with CBAM attention mechanism

L Du, Z Lu, D Li - Computers and Electronics in Agriculture, 2022 - Elsevier
Broodstock has the characteristics of a long breeding time, small breeding quantity, and a
high economic value. At the same time, the broodstock is weak during the spawning period …

Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review

A Yassir, SJ Andaloussi, O Ouchetto, K Mamza… - Fisheries …, 2023 - Elsevier
In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …

[HTML][HTML] Application of deep learning-based object detection techniques in fish aquaculture: a review

H Liu, X Ma, Y Yu, L Wang, L Hao - Journal of Marine Science and …, 2023 - mdpi.com
Automated monitoring and analysis of fish's growth status and behaviors can help scientific
aquaculture management and reduce severe losses due to diseases or overfeeding. With …

Recent advances of machine vision technology in fish classification

D Li, Q Wang, X Li, M Niu, H Wang… - ICES Journal of Marine …, 2022 - academic.oup.com
Automatic classification of different species of fish is important for the comprehension of
marine ecology, fish behaviour analysis, aquaculture management, and fish health …

Recent advancements in deep learning frameworks for precision fish farming opportunities, challenges, and applications

G Kaur, N Adhikari, S Krishnapriya… - Journal of Food …, 2023 - Wiley Online Library
The growth of the fish is influenced by a variety of scientific factors. So, profit can be easily
achieved by using some clever techniques, for example, maintaining the correct pH level …