A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar ...

"This novel approach combines machine learning modeling of thermal properties of molecules with high throughput virtual screening," said Gusev, a doctoral student in Isayev's group. "As a result ...

The conditions for high fusion performance in fusion devices can result in damaging energy bursts called edge-localized modes ...

To understand how coordinated macroscale patterns of intrinsic activity flow across the brain’s structural network, new analysis approaches that can extract interpretable spatial and temporal features ...

Machine Learning (ML) offers a promising approach to address these challenges by leveraging data-driven insights for accurate predictions. This study aims to explore this idea by developing an ...

The review contains three sections: 1) an overview of image processing approaches for histopathology slide analysis; 2) machine learning integration with spatially resolved omics data analysis; 3) a ...

Abstract: This study investigates the integration of machine learning techniques with multi-indicator strategies in algorithmic trading to overcome the limitations of traditional trading methods. As ...

Artificial intelligence that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI.

Govindaiah Simuni is passionate about solving enterprise data architecture challenges, improving batch processing, and ...

Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic ...

Using machine learning approaches, they explored the factors that affect the acquisition of exercise habits. The results revealed that the most crucial factor that positively impacts the ...