Application of machine learning in intelligent fish aquaculture: A review
Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …
technology has been extensively applied in aquaculture in recent years, providing a new …
Applications of deep learning in water quality management: A state-of-the-art review
Excellent water quality (WQ) is an indispensable element in ensuring sustainable water
resource development. It is highly associated with the 3rd (good health and well-being), the …
resource development. It is highly associated with the 3rd (good health and well-being), the …
Water quality classification using machine learning algorithms
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
[Retracted] Water Quality Prediction Using Artificial Intelligence Algorithms
THH Aldhyani, M Al-Yaari, H Alkahtani… - Applied Bionics and …, 2020 - Wiley Online Library
During the last years, water quality has been threatened by various pollutants. Therefore,
modeling and predicting water quality have become very important in controlling water …
modeling and predicting water quality have become very important in controlling water …
[HTML][HTML] Modelling and prediction of water quality by using artificial intelligence
M Hmoud Al-Adhaileh, F Waselallah Alsaade - Sustainability, 2021 - mdpi.com
Artificial intelligence methods can remarkably reduce costs for water supply and sanitation
systems and help ensure compliance with the quality of drinking and wastewater treatment …
systems and help ensure compliance with the quality of drinking and wastewater treatment …
Water quality prediction for smart aquaculture using hybrid deep learning models
KPRA Haq, VP Harigovindan - Ieee Access, 2022 - ieeexplore.ieee.org
Water quality prediction (WQP) plays an essential role in water quality management for
aquaculture to make aquaculture production profitable and sustainable. In this work, we …
aquaculture to make aquaculture production profitable and sustainable. In this work, we …
Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation
Water is a prime necessity for the survival and sustenance of all living beings. Over the past
few years, the water quality of rivers is adversely affected due to harmful wastes and …
few years, the water quality of rivers is adversely affected due to harmful wastes and …
[HTML][HTML] An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction
I Ahmadianfar, S Shirvani-Hosseini, J He… - Scientific Reports, 2022 - nature.com
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …
alert of water pollution and making better decisions for the management of water resources …
Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine …
Urban groundwater influences a wide range of processes in the natural world, including
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …
A method overview in smart aquaculture
Aquaculture is an important part of agricultural economy. In the past, major farming
accidents often occurred due to subjective experience. There are many factors affecting the …
accidents often occurred due to subjective experience. There are many factors affecting the …