Short-term multi-hour ahead country-wide wind power prediction for Germany using gated recurrent unit deep learning
In recent years, wind power has emerged as an important source of renewable energy.
When onshore and offshore wind farm regions are connected to the grid for power …
When onshore and offshore wind farm regions are connected to the grid for power …
Hybrid decision tree-based machine learning models for short-term water quality prediction
Water resources are the foundation of people's life and economic development, and are
closely related to health and the environment. Accurate prediction of water quality is the key …
closely related to health and the environment. Accurate prediction of water quality is the key …
[HTML][HTML] Seasonal variation in water quality parameters of Gudlavalleru Engineering College pond
S Dey, S Botta, R Kallam, R Angadala… - Current Research in …, 2021 - Elsevier
The present work paying attention on the regular variations in physico-chemical parameters
of the Gudlavalleru engineering college pond at a Krishna district, Andhra Pradesh during …
of the Gudlavalleru engineering college pond at a Krishna district, Andhra Pradesh during …
Modeling multistep ahead dissolved oxygen concentration using improved support vector machines by a hybrid metaheuristic algorithm
Dissolved oxygen (DO) concentration is an important water-quality parameter, and its
estimation is very important for aquatic ecosystems, drinking water resources, and agro …
estimation is very important for aquatic ecosystems, drinking water resources, and agro …
[HTML][HTML] An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management
The rapid growth of prawn farming on an international scale will play an important role in
meeting the protein requirements of an expanding global population. Efficient management …
meeting the protein requirements of an expanding global population. Efficient management …
An IoT-based system for water quality monitoring and notification system of aquaculture prawn pond
The quality of pond water greatly affects the main factor of prawn survival and its aquaculture
productivity. The checking process of the prawn pond water quality is generally very simple …
productivity. The checking process of the prawn pond water quality is generally very simple …
Machine learning for manually-measured water quality prediction in fish farming
Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of
high-quality fish farming. Machine learning (ML) techniques have been proposed to model …
high-quality fish farming. Machine learning (ML) techniques have been proposed to model …
[PDF][PDF] A prediction model of aquaculture water quality based on multiscale decomposition
H Yang, S Liu - Mathematical Biosciences and Engineering, 2021 - aimspress.com
In the field of intensive aquaculture, the deterioration of water quality is one of the main
factors restricting the normal growth of aquatic products. Predicting water quality in real time …
factors restricting the normal growth of aquatic products. Predicting water quality in real time …
Using smart glasses to support situated decision making in aquaculture
The rapidly expanding prawn farming industry is vital in providing high-quality protein for the
increasing global population. The key to consistently high yield is the efficient and effective …
increasing global population. The key to consistently high yield is the efficient and effective …
Hybrid kernel extreme learning machine-based empirical wavelet transform for water quality prediction using only river flow as predictor
S Heddam - Climate Change Impacts on Natural Resources …, 2023 - Springer
During the last few years, monitoring and controlling water quality in freshwater ecosystems
was strongly facilitated by the increasing number of in situ stations, certainly in combination …
was strongly facilitated by the increasing number of in situ stations, certainly in combination …