Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture

A Mandal, AR Ghosh - Aquaculture International, 2024 - Springer
Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …

Driving forces behind land use and land cover change: A systematic and bibliometric review

A Allan, A Soltani, MH Abdi, M Zarei - Land, 2022 - mdpi.com
This paper is based on reviewing the literature in the past 10 years on the drivers of land use
and land cover change (LULCC) in urban areas. It combines quantitative and qualitative …

Projections of land use change and habitat quality assessment by coupling climate change and development patterns

J Wu, J Luo, H Zhang, S Qin, M Yu - Science of The Total Environment, 2022 - Elsevier
Exploring future land use changes and assessing the habitat quality remains a challenging
topic for watershed ecological sustainability. However, most studies ignore the effects of …

[HTML][HTML] Does social perception data express the spatio-temporal pattern of perceived urban noise? A case study based on 3,137 noise complaints in Fuzhou, China

LH Guo, S Cheng, J Liu, Y Wang, Y Cai, XC Hong - Applied Acoustics, 2022 - Elsevier
The impact of urban noise on residents' physical health and mental condition has gradually
become a hot topic of public discussion. A single urban noise monitoring cannot fully reflect …

Propagation characteristics and mechanism from meteorological to agricultural drought in various seasons

M Dai, S Huang, Q Huang, X Zheng, X Su, G Leng… - Journal of …, 2022 - Elsevier
Agricultural drought poses a serious threat to national food security, and the investigation on
the propagation from meteorological to agricultural drought plays an important role in …

FENet: Feature enhancement network for land cover classification

Z Ma, M Xia, H Lin, M Qian, Y Zhang - International Journal of …, 2023 - Taylor & Francis
Extracting mask information of buildings and water areas from high resolution remote
sensing images is beneficial to monitoring and management of urban development …

SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images

H Wu, W Luo, A Lin, F Hao… - … Environment and Urban …, 2023 - Elsevier
Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …

Identifying urban building function by integrating remote sensing imagery and POI data

A Lin, X Sun, H Wu, W Luo, D Wang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Identifying urban building function plays a critical role in understanding the complexness of
urban construction and improving the effectiveness of urban planning. The emergence of …

Future urban waterlogging simulation based on LULC forecast model: A case study in Haining City, China

K Yang, H Hou, Y Li, Y Chen, L Wang, P Wang… - Sustainable Cities and …, 2022 - Elsevier
As a consequence of rapid urbanization, the pattern of Land Use and Land Cover (LULC)
has changed, resulting in a significant increase in the risk of waterlogging. Understanding …

Accurate prediction of soil heavy metal pollution using an improved machine learning method: a case study in the Pearl River Delta, China

W Zhao, J Ma, Q Liu, L Dou, Y Qu, H Shi… - Environmental …, 2023 - ACS Publications
In traditional soil heavy metal (HM) pollution assessment, spatial interpolation analysis is
often carried out on the limited sampling points in the study area to get the overall status of …