Работы, цитирующие эту работу

Работ: 4

Работа: TH-MuSiC: A high-performance multi-scale NWP-LBM coupling framework with CPU–GPU architecture for high-fidelity real-time urban wind field simulation

1. Leveraging optimized machine learning models for air quality prediction in urban India: towards a sustainable future

   Lal Mohammad, Ismail Mondal, Jatisankar Bandyopadhyay +4

   СтатьяAir Quality Monitoring and ForecastingAdvances in Space Research2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000338

2. Remote sensing and machine learning-based mapping of climatic stress impacts on vegetation and carbon sequestration

   Kaleem Mehmood, Shoaib Ahmad Anees, Fahad Shahzad +5

   СтатьяRemote Sensing and LiDAR ApplicationsGeocarto International2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.006779

3. AI-driven prediction of soil trace metal contamination and ecological health in the Sundarbans mangrove ecosystem: Implications for nature-based solutions and the UN SDGs

   Ismail Mondal, SK Ariful Hossain, Fahad Alshehri +6

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.016495

4. Climate-driven vegetation vulnerability in a monsoon-dominated dryland: a dual-index (kNDVI–VHI) assessment for Pakistan

   Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad +4

   СтатьяRemote Sensing in AgricultureFrontiers in Environmental Science2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.020777