A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network
PG Arepalli, KJ Naik - The journal of Supercomputing, 2024 - Springer
Dissolved oxygen (DO) is a critical factor in maintaining healthy aquatic ecosystems,
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …
[HTML][HTML] AI-driven aquaculture: A review of technological innovations and their sustainable impacts
H Yang, Q Feng, S **a, Z Wu, Y Zhang - Artificial Intelligence in Agriculture, 2025 - Elsevier
The integration of artificial intelligence (AI) in aquaculture has been identified as a
transformative force, enhancing various operational aspects from water quality management …
transformative force, enhancing various operational aspects from water quality management …
Integrated ensemble learning approach for multi-depth water quality estimation in reservoir environments
Water quality is paramount for the well-being of ecosystems and organisms, so assessing
water quality variables (WQVs) is imperative. Despite existing research on predicting WQVs …
water quality variables (WQVs) is imperative. Despite existing research on predicting WQVs …
[HTML][HTML] A multi-model ensemble approach for reservoir dissolved oxygen forecasting based on feature screening and machine learning
P Zhang, X Liu, H Dai, C Shi, R **e, G Song, L Tang - Ecological Indicators, 2024 - Elsevier
Dissolved oxygen (DO) concentration in aquatic systems plays a vital role in water
aquaculture. An innovative approach that combines feature selection and ensemble …
aquaculture. An innovative approach that combines feature selection and ensemble …
[HTML][HTML] Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques-taking Shuikou reservoir in the Minjiang River as …
P Zhang, S Mei, C Shi, R **e, Y Zhuo, Y Wang - Ecological Indicators, 2023 - Elsevier
Dissolved oxygen (DO) plays a significant role in maintaining the health of aquatic
ecosystems. In this study, we propose a model that incorporates multiple machine learning …
ecosystems. In this study, we propose a model that incorporates multiple machine learning …
[HTML][HTML] Water Quality Inversion Framework for Taihu Lake Based on Multilayer Denoising Autoencoder and Ensemble Learning
Z Sun, L Guo, Z Tao, Y Li, Y Zhan, S Li, Y Zhao - Remote Sensing, 2024 - mdpi.com
In river and lake ecosystem management, comprehensive water quality monitoring is crucial.
Traditional in situ water quality monitoring is costly, and it is challenging to cover entire water …
Traditional in situ water quality monitoring is costly, and it is challenging to cover entire water …
Accurate Forecast of Water Quality Index for Cholera Diseases using Two-Layered Stacked Machine Learning Algorithms
V Karpagam, S Christy - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Enhancing accuracy and reducing the error prediction of water quality index regarding the
quality criteria for V Cholera diseases is the main aspect of day-to-day life. The …
quality criteria for V Cholera diseases is the main aspect of day-to-day life. The …