Работы, цитирующие эту работу

Работ: 4

Работа: Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis

1. 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

2. A computational investigation of monolayer HB: Effective NH3 gas sensor with highly sensor response

   Ali B.M. Ali, Ehab Yassen Theab, Muyassar Norberdiyeva +8

   СтатьяGas Sensing Nanomaterials and SensorsComputational Biology and Chemistry2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002813

3. Interpretable Multi-Horizon Machine Learning Framework for PM₂.₅ Forecasting in Tashkent: Toward Early-Warning Air Quality Management

   Moulay Rachid Babaa, Otabek Atabaev

   ПрепринтAir Quality Monitoring and ForecastingResearch Square2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.preprint.000331

4. 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