This study evaluates PyCaret's role in predicting compressive strength of compressed earth blocks, highlighting key ...

Ghori's expertise also extends into predictive modeling, specifically for lead forecasting, which has proven invaluable for ...

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power generation is critical for balancing energy demand and supply. A new study ...

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of ... in Atmospheric Sciences explores how machine learning and statistical techniques can refine ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

Deepfake technology leverages deep learning-based face manipulation techniques, allowing the seamless replacement of faces in videos. While it offers creative opportunities in media and entertainment, ...

Sivakumar Nagarajan highlights how integrating deep learning and hybrid classifiers in intrusion detection is transforming ...

By integrating innovative observability frameworks and automation, his approach enhances model reliability, scalability, and adaptability to ever-evolving financial environments.

As global warming accelerates, the increasing number of supraglacial lakes and the need to accurately measure their depths ...

Abstract: This paper aims to address the issue of low accuracy in underwater Direction of Arrival (DOA) estimation using Deep Learning (DL) methods, which arises due to the scarcity of underwater data ...

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

Chinese researchers from the Tianjin University (TJU) and Tsinghua University have collaborated to develop the world's first ...