[1]
|
Sustainability Challenges and Delivering Practical Engineering Solutions
Advances in Science, Technology & Innovation,
2023
DOI:10.1007/978-3-031-26580-8_3
|
|
|
[2]
|
A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods
Journal of Hydrology,
2022
DOI:10.1016/j.jhydrol.2022.128081
|
|
|
[3]
|
Temperature regulation of a commercial space in building system optimized by genetic algorithm
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects,
2022
DOI:10.1080/15567036.2022.2037790
|
|
|
[4]
|
A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods
Journal of Hydrology,
2022
DOI:10.1016/j.jhydrol.2022.128081
|
|
|
[5]
|
Predictive Models Using Supervised Neural Network for Pollutant Removal Efficiency in Petrochemical Wastewater Treatment
2022 5th International Conference on Information and Communications Technology (ICOIACT),
2022
DOI:10.1109/ICOIACT55506.2022.9971929
|
|
|
[6]
|
Predictive Models Using Supervised Neural Network for Pollutant Removal Efficiency in Petrochemical Wastewater Treatment
2022 5th International Conference on Information and Communications Technology (ICOIACT),
2022
DOI:10.1109/ICOIACT55506.2022.9971929
|
|
|
[7]
|
A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods
Journal of Hydrology,
2022
DOI:10.1016/j.jhydrol.2022.128081
|
|
|
[8]
|
A review of artificial neural network techniques for environmental issues prediction
Journal of Thermal Analysis and Calorimetry,
2021
DOI:10.1007/s10973-021-10748-9
|
|
|
[9]
|
Advances in Artificial Intelligence and Security
Communications in Computer and Information Science,
2021
DOI:10.1007/978-3-030-78621-2_44
|
|
|
[10]
|
Use of Factor Analysis (FA), Artificial Neural Networks (ANNs), and Multiple Linear Regression (MLR) for Electrical Conductivity Prediction in Aquifers in the Gallikos River Basin, Northern Greece
Hydrology,
2021
DOI:10.3390/hydrology8030127
|
|
|
[11]
|
Application of Machine Learning Model for the Prediction of Settling Velocity of Fine Sediments
Mathematics,
2021
DOI:10.3390/math9233141
|
|
|
[12]
|
Artificial intelligence as an upcoming technology in wastewater treatment: a comprehensive review
Environmental Technology Reviews,
2021
DOI:10.1080/21622515.2021.1913242
|
|
|
[13]
|
Assessment of surface water quality in Lushan: a world heritage sites in China
Environmental Science and Pollution Research,
2020
DOI:10.1007/s11356-020-08304-3
|
|
|
[14]
|
Advances in Waste Management
2019
DOI:10.1007/978-981-13-0215-2_15
|
|
|
[15]
|
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
Engineering Applications of Computational Fluid Mechanics,
2019
DOI:10.1080/19942060.2018.1553742
|
|
|
[16]
|
Rheological wall slip velocity prediction model based on artificial neural network
Journal of Experimental & Theoretical Artificial Intelligence,
2019
DOI:10.1080/0952813X.2019.1592235
|
|
|
[17]
|
Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems
IEEE Access,
2019
DOI:10.1109/ACCESS.2019.2927398
|
|
|
[18]
|
Short-Term and Long-Term Forecasting for the 3D Point Position Changing by Using Artificial Neural Networks
ISPRS International Journal of Geo-Information,
2018
DOI:10.3390/ijgi7030086
|
|
|
[19]
|
Developing a Model-Based Drinking Water Decision Support System Featuring Remote Sensing and Fast Learning Techniques
IEEE Systems Journal,
2018
DOI:10.1109/JSYST.2016.2538082
|
|
|
[20]
|
Optimization of an artificial neural network for fatigue damage identification using analysis of variance
Structural Control and Health Monitoring,
2017
DOI:10.1002/stc.1964
|
|
|
[21]
|
Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China
Journal of Environmental Sciences,
2017
DOI:10.1016/j.jes.2016.07.017
|
|
|
[22]
|
An evaluation of existent methods for estimation of embankment dam breach parameters
Natural Hazards,
2017
DOI:10.1007/s11069-017-2764-z
|
|
|
[23]
|
Artificial Neural Network Approach for Predicting the Water Turbidity Level Using Optical Tomography
Arabian Journal for Science and Engineering,
2016
DOI:10.1007/s13369-015-1904-6
|
|
|
[24]
|
Dissolved oxygen modelling using artificial neural network: a case of River Nzoia, Lake Victoria basin, Kenya
Journal of Water Security,
2016
DOI:10.15544/jws.2016.004
|
|
|
[25]
|
Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models
Hydrogeology Journal,
2015
DOI:10.1007/s10040-014-1204-3
|
|
|