[HTML][HTML] Deep learning based oil palm tree detection and counting for high-resolution remote sensing images
… Weijia Li, Haohuan Fu and Le Yu conceived of the study; Weijia Li wrote code, performed
the analysis and wrote the article; Haohuan Fu performed the analysis and wrote the article; Le …
the analysis and wrote the article; Haohuan Fu performed the analysis and wrote the article; Le …
Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping
Land use and land cover maps provide fundamental information that has been used in
different kinds of studies, ranging from climate change to city planning. However, despite …
different kinds of studies, ranging from climate change to city planning. However, despite …
Electrocatalytic Conversion of Nitrate Into Ammonia Through Heterogeneous Catalysis of NiMoO4 and Cu/Cu2O
…, X Chen, L Wang, W Li, Z Wang, M Li… - Advanced Functional …, 2024 - Wiley Online Library
Facilitating equilibrium in the nitrogen cycle, electrochemical nitrate reduction (NitRR) to
ammonia stands as a carbon‐free method for ammonia synthesis. Copper‐based catalysts, …
ammonia stands as a carbon‐free method for ammonia synthesis. Copper‐based catalysts, …
[HTML][HTML] Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data
Automatic extraction of building footprints from high-resolution satellite imagery has become
an important and challenging research issue receiving greater attention. Many recent …
an important and challenging research issue receiving greater attention. Many recent …
A 2D self-assembled MoS 2/ZnIn 2 S 4 heterostructure for efficient photocatalytic hydrogen evolution
W Li, Z Lin, G Yang - Nanoscale, 2017 - pubs.rsc.org
Semiconductor photocatalysis for hydrogen production is a promising route to address
current energy demands. It is still a great challenge to spatially separate photogenerated …
current energy demands. It is still a great challenge to spatially separate photogenerated …
Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping
Land-cover mapping is an important research topic with broad applicability in the remote-sensing
domain. Machine learning algorithms such as Maximum Likelihood Classifier (MLC), …
domain. Machine learning algorithms such as Maximum Likelihood Classifier (MLC), …
[PDF][PDF] Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
As the world strives to reduce the impact of population growth, urbanization, agricultural
expansion, and climate change on food security, energy and water shortage, resource over-…
expansion, and climate change on food security, energy and water shortage, resource over-…
Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients …
Background & aims New York is the current epicenter of Coronavirus disease 2019 (COVID-19)
pandemic. The underrepresented minorities, where the prevalence of obesity is higher, …
pandemic. The underrepresented minorities, where the prevalence of obesity is higher, …
Study of the in vitro cytotoxicity testing of medical devices
W Li, J Zhou, Y Xu - Biomedical reports, 2015 - spandidos-publications.com
The cytotoxicity test is one of the biological evaluation and screening tests that use tissue
cells in vitro to observe the cell growth, reproduction and morphological effects by medical …
cells in vitro to observe the cell growth, reproduction and morphological effects by medical …
Spot the fake: Large multimodal model-based synthetic image detection with artifact explanation
With the rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies,
synthetic images have become increasingly prevalent in everyday life, posing new …
synthetic images have become increasingly prevalent in everyday life, posing new …