Enabling resource-efficient aiot system with cross-level optimization: A survey

S Liu, B Guo, C Fang, Z Wang, S Luo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …

Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China

M Zhang, AA Kafy, P Xiao, S Han, S Zou, M Saha… - Urban Climate, 2023 - Elsevier
The impact of the rapid expansion of urban land on the urban thermal environment and
carbon chain has attracted widespread attention. This paper uses artificial neural network …

The spatial spillover effect and nonlinear relationship analysis between land resource misallocation and environmental pollution: Evidence from China

M Zhang, S Tan, Z Pan, D Hao, X Zhang… - Journal of Environmental …, 2022 - Elsevier
Compared with other countries, China's local governments often adopt the land supply
strategy of “low price and sufficient supply” for industrial land and “high price and limited …

Rapidly declining surface and terrestrial water resources in Central Asia driven by socio-economic and climatic changes

W Huang, W Duan, Y Chen - Science of the Total Environment, 2021 - Elsevier
A systematic understanding of the dynamics of surface water resources and terrestrial water
storage (TWS) is extremely important for human survival in Central Asia (CA) and …

Impact of urban expansion on vegetation: The case of China (2000–2018)

K Yang, W Sun, Y Luo, L Zhao - Journal of environmental management, 2021 - Elsevier
Extensive urbanization leads to the degradation of vegetation, which aggravates the
deterioration of many ecological environments. However, the research on the impact of …

Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment

M Zhang, S Tan, C Zhang, E Chen - Sustainable Cities and Society, 2024 - Elsevier
Land use practices in urban areas exert a profound influence on the urban thermal
environment and the pursuit of sustainable development. This paper aims to investigate and …

Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nanjing, China

M Zhang, S Tan, J Liang, C Zhang, E Chen - Journal of Environmental …, 2024 - Elsevier
The urban thermal environment undergoes significant influences from changes in land
use/land cover (LULC). This article uses CA-ANN and ANN algorithms to forecast LULC and …

Prediction of wastewater treatment quality using LSTM neural network

N Farhi, E Kohen, H Mamane, Y Shavitt - Environmental Technology & …, 2021 - Elsevier
Wastewater treatment (WWT) process is used to prevent pollution of water sources,
improves sanitation condition, and reuse the water (mostly for agricultural purposes). One of …

[HTML][HTML] Surface water temperature prediction in large-deep reservoirs using a long short-term memory model

L Wang, B Xu, C Zhang, G Fu, X Chen, Y Zheng… - Ecological …, 2022 - Elsevier
Surface water temperature (SWT) is a key indicator to characterize the ecological health of a
reservoir. Many newly built large-deep reservoirs, however, lack enough SWT observation …

Energy consumption and building layouts of public hospital buildings: A survey of 30 buildings in the cold region of China

Y Shi, Z Yan, C Li, C Li - Sustainable cities and Society, 2021 - Elsevier
Highlights•Building layout and energy consumption of tertiary hospitals was surveyed.•The
average energy consumption per unit area of Class 3A hospitals increased.•The …