[HTML][HTML] Review of urban drinking water contamination source identification methods
J Gong, X Guo, X Yan, C Hu - Energies, 2023 - mdpi.com
When drinking water flows into the water distribution network from a reservoir, it is exposed
to the risk of accidental or deliberate contamination. Serious drinking water pollution events …
to the risk of accidental or deliberate contamination. Serious drinking water pollution events …
An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows
Abstract The Vehicle Routing Problem (VRP) is a typical combinatorial optimization problem
and has been studied for many years. However, there are few researches on the Dynamic …
and has been studied for many years. However, there are few researches on the Dynamic …
Gated graph neural networks for identifying contamination sources in water distribution systems
Z Li, H Liu, C Zhang, G Fu - Journal of Environmental Management, 2024 - Elsevier
Contamination events in water distribution networks (WDN) pose significant threats to water
supply and public health. Rapid and accurate contamination source identification (CSI) can …
supply and public health. Rapid and accurate contamination source identification (CSI) can …
[HTML][HTML] Machine learning and simulation-optimization coupling for water distribution network contamination source detection
This paper presents and explores a novel methodology for solving the problem of a water
distribution network contamination event, which includes determining the exact source of …
distribution network contamination event, which includes determining the exact source of …
Co2+ and nitrobenzene sensing using indium-based metal-organic framework
H Zhang, ZX Wang, YH Luo, FY Chen, CY Jia, XQ Tan… - Polyhedron, 2022 - Elsevier
A highly stable indium-based metal-organic framework, namely [In (HTCA)(OH)]· 2DMF· H 2
O (JOU-24), was solvothermally synthesized by using fluorescent ligand H 3 TCA (H 3 TCA …
O (JOU-24), was solvothermally synthesized by using fluorescent ligand H 3 TCA (H 3 TCA …
Big-data-driven pre-stack seismic intelligent inversion
X Yan, M Zhang, Q Wu - Information Sciences, 2021 - Elsevier
Seismic inversion is an image formation process for the spatial structures and physical
properties of underground rock strata according to the seismic data observed on the surface …
properties of underground rock strata according to the seismic data observed on the surface …
Optimal AOA sensor-source geometry with deployment region constraints
Considering some communication or security requirements, the sensors cannot be deployed
randomly. In order to improve the localization accuracy, we discuss the optimal geometry …
randomly. In order to improve the localization accuracy, we discuss the optimal geometry …
[HTML][HTML] Remote sensing inversion of suspended matter concentration using a neural network model optimized by the partial least squares and particle swarm …
Q Guo, H Wu, H Jin, G Yang, X Wu - Sustainability, 2022 - mdpi.com
Suspended matter concentration is an important index for the assessment of a water
environment and it is also one of the core parameters for remote sensing inversion of water …
environment and it is also one of the core parameters for remote sensing inversion of water …
Multi-source data fusion for economic data analysis
M Li, F Wang, X Jia, W Li, T Li, G Rui - Neural Computing and Applications, 2021 - Springer
Economic data include data of various types and characteristics such as macro-data, meso-
data, and micro-data. The source of economic data can be the data related to economy held …
data, and micro-data. The source of economic data can be the data related to economy held …
Particle swarm optimization algorithm based on information sharing in Industry 4.0
X Rao, X Yan - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Intelligent manufacturing is an important part of Industry 4.0; artificial intelligence technology
is a necessary means to realize intelligent manufacturing. This requires the exploration of …
is a necessary means to realize intelligent manufacturing. This requires the exploration of …