Работы, цитирующие эту работу

Работ: 5

Работа: Support vector regression

1. A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

   Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

   СтатьяRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000464

2. Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis

   Guoliang Hou, Ahmed Alkhayyat, Ahmad Almalkawi +8

   СтатьяThermochemical Biomass Conversion ProcessesBioresources and Bioprocessing2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001446

3. Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

   Farag M. A. Altalbawy, Shoira Formanova, Ahmad Almalkawi +7

   СтатьяWater Quality Monitoring and AnalysisJournal of the Indian Chemical Society2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.016579

4. Assessing the efficacy of a sequential general variational mode decomposition-based combination model for United States wind power forecasting

   Mehdi Shalchilar, Rasoul Samei, Sanam Ansari +4

   СтатьяEnergy Load and Power ForecastingModeling Earth Systems and Environment2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.001521

5. Estimation of lithium adsorption in brine via robust machine learning algorithms

   Farag M. A. Altalbawy, Ahmad Almalkawi, Anupam Yadav +7

   СтатьяExtraction and Separation ProcessesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.007619