Работы, цитирующие эту работу

Работ: 4

Работа: Enhancing sea surface salinity short-term prediction using physically informed deep learning

1. Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management

   Ismail Mondal, Rupa Ghosh, Jatisankar Bandyopadhyay +3

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000116

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. Assessing the spatio-temporal variability of phytoplankton in Sundarban coastal waters using Sentinel 3 OLCI imagery based on C2RCC and neural network models

   A. C. DE, Ismail Mondal, SK Ariful Hossain +7

   СтатьяMarine and coastal ecosystemsAdvances in Space Research2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.021160