Работы, цитирующие эту работу

Работ: 2

Работа: Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy

1. Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem: insights from SLAMM and hybrid machine learning models

   Ismail Mondal, SK Ariful Hossain, Jatisankar Bandyopadhyay +5

   СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2025Цитирований: 7

   ABIABI:AkademIndex/openalex/2025.article.000089

2. Assessing forest health of sundarbans biosphere reserve: a nature-based climate solutions using machine learning and multicriteria decision analysis

   Ismail Mondal, Jatisankar Bandyopadhyay, SK Ariful Hossain +5

   СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.002635