Работы, цитирующие эту работу

Работ: 5

Работа: RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY

1. Coastal vulnerability assessment for the Sundarbans mangrove ecosystem using InVEST and machine learning-based empirical models

   Anirjita Das, Ismail Mondal, SK Ariful Hossain +5

   СтатьяAgricultural and Environmental ManagementEnvironment Development and Sustainability2025Цитирований: 4

   ABIABI:AkademIndex/openalex/2025.article.000216

2. AI-driven spatio-temporal prediction of chlorophyll-a dynamics and coastal productivity in the Northern Bay of Bengal

   Ismail Mondal, Fahad Alshehri, SK Ariful Hossain +3

   СтатьяMarine and coastal ecosystemsJournal of Water Process Engineering2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.000453

3. Raloxifene solubility in supercritical CO2 and correlation of drug solubility via hybrid machine learning and gradient based optimization

   Hadil Faris Alotaibi, Chou‐Yi Hsu, Fadhil Faez Sead +7

   СтатьяPhase Equilibria and ThermodynamicsScientific Reports2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000970

4. Machine learning estimation and optimization for evaluation of pharmaceutical solubility in supercritical carbon dioxide for improvement of drug efficacy

   Hadil Faris Alotaibi, Chou‐Yi Hsu, Fadhil Faez Sead +7

   СтатьяComputational Drug Discovery MethodsScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003214

5. Estimating understory dwarf bamboo distribution in forests using digital canopy height models derived from drone LiDAR

   Akira Kato, M Kikuchi, Yoshito Sawada +1

   СтатьяBamboo properties and applicationsJournal of the Japanese Society of Revegetation Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008149