Predictions of land cover & land surface temperature based on machine learning algorithms to support climate-resilient Urban planning in UK cities [PDF]
Dauzov, Ramazan
openalex
Machine Learning Approaches for Geospatial Modeling of Urban Land Surface Temperature: Assessing Geographical Compactness, Interpretability, and Causal Inference. [PDF]
Hoang ND.
europepmc +1 more source
Abstract The development of renewable energy sources is important in order to achieve the United Nations Sustainable Development Goals (SDGs). Waste cooking oil (WCO) is a promising feedstock for biodiesel production through transesterification. Heterogeneous bifunctional catalysts offer a sustainable alternative to conventional homogeneous bases such ...
Frederick Jit Fook Phang +9 more
wiley +1 more source
Prediction modeling of land surface temperature in relation to land cover dynamics and health risk perception analysis in barishal city of Bangladesh. [PDF]
Hasan I +7 more
europepmc +1 more source
Potassium hydroxide activation of microalgal biochar for improved adsorption efficiency
Abstract Activated carbon was prepared from Chlorella by carbonization and potassium hydroxide activation, and its structural properties and methylene blue (MB) adsorption performance were evaluated. Raw Chlorella exhibited an adsorption capacity of 287.2 mg g−1, which decreased to 214.8 mg g−1 after carbonization.
Keito Kubota +3 more
wiley +1 more source
Generating 1 km Seamless Land Surface Temperature from China FY3C Satellite Data Using Machine Learning [PDF]
Xinhan Liu +4 more
openalex +1 more source
The impact of land use and land cover change on land surface energy balance
reservedThis project delves into the intricate relationship between land use/land cover change (LULCC) and the land surface energy balance, particularly focusing on its impacts across Europe from 2006 to 2018. Through a comprehensive review of literature
ADEN, MOHAMOUD OSMAN
core
Investigating efficient urban planning strategies for reducing land surface temperature of the neighborhoods in Tehran, Iran. [PDF]
Soltanifard H +3 more
europepmc +1 more source
Abstract The global teacher shortage continues to intensify, with disparate impacts across geographic and socio‐economic communities. In Queensland, Australia, where this study originates, post‐COVID teacher shortages have intensified workforce pressures, leaving several regional, rural and remote schools as some of the ‘hardest‐to‐staff’ in the ...
Matthew Readette +5 more
wiley +1 more source

