MachIne learning for nutrient recovery in the smart city circular economy–A review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
significantly to economic growth, while becoming epicentres of waste generation …
[HTML][HTML] A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction
L Chen, T Wu, Z Wang, X Lin, Y Cai - Ecological Indicators, 2023 - Elsevier
With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …
being increasingly worsened, and has caused a series of ecological and environmental …
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning
R Chen, C Zhang, B Xu, Y Zhu, F Zhao, S Han… - … and Electronics in …, 2022 - Elsevier
As one of the world's most popular fruit, apple tree yield prediction before harvest plays an
important role in optimizing orchard nutrition management, especially at the individual tree …
important role in optimizing orchard nutrition management, especially at the individual tree …
Algal bloom forecasting with time-frequency analysis: A hybrid deep learning approach
The rapid emergence of deep learning long-short-term-memory (LSTM) technique presents
a promising solution to algal bloom forecasting. However, the discontinuous and non …
a promising solution to algal bloom forecasting. However, the discontinuous and non …
[HTML][HTML] Urban river water quality monitoring based on self-optimizing machine learning method using multi-source remote sensing data
P Chen, B Wang, Y Wu, Q Wang, Z Huang, C Wang - Ecological Indicators, 2023 - Elsevier
Urban rivers are complex ecosystems that directly determine the living environment of
human beings. Monitoring the urban river water quality indexes is a challenge in water …
human beings. Monitoring the urban river water quality indexes is a challenge in water …
A soft-sensor for sustainable operation of coagulation and flocculation units
M Arab, H Akbarian, M Gheibi, M Akrami… - … Applications of Artificial …, 2022 - Elsevier
Abstract Nowadays, Machine Learning (ML) techniques have become one of the most
widely used engineering tools due to their numerous advantages, including their continuous …
widely used engineering tools due to their numerous advantages, including their continuous …
Analysis of marine diversity and anthropogenic pressures on Seixas coral reef ecosystem (northeastern Brazil)
K Massei, MCS Souza, RM da Silva… - Science of The Total …, 2023 - Elsevier
Coral reefs, vital and ecologically significant ecosystems, are among the most jeopardized
marine environments in the Atlantic Ocean, particularly along the northeastern coast of …
marine environments in the Atlantic Ocean, particularly along the northeastern coast of …
Neural network-based modeling of water quality in Jodhpur, India
In this paper, the quality of a source of drinking water is assessed by measuring eight water
quality (WQ) parameters using 710 samples collected from a water-stressed region of India …
quality (WQ) parameters using 710 samples collected from a water-stressed region of India …
Quality assessment and prediction of municipal drinking water using water quality index and artificial neural network: A case study of Wuhan, central China, from 2013 …
L Xia, Q Han, L Shang, Y Wang, X Li, J Zhang… - Science of the Total …, 2022 - Elsevier
The sanitary security of drinking water is closely related to human health, but its quality
assessment mainly focused on limited types of indicators and relatively restricted time span …
assessment mainly focused on limited types of indicators and relatively restricted time span …