Abstract: The need for analyzing a sonar dataset using machine learning algorithms arises from critical applications such as naval operations, marine exploration, and environmental monitoring.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

BlackRock boasts strong fundamentals, elite profitability, and robust cash flow, but its shares trade at a premium, warranting a Hold rating. BLK's aggressive expansion into AI, data centers, and ...

A new analysis of the interstellar object 3I/ATLAS has uncovered a series of unusual physical and orbital characteristics that are prompting scientists to re-evaluate what the fast-moving visitor ...

Operating a new device named the Fusion Z-pinch Experiment 3, or FuZE-3, Zap Energy has now achieved plasmas with electron pressures as high as 830 megapascals (MPa), or 1.6 gigapascals (GPa) total, ...

If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Globally, the growth of plastic production has increased exponentially from 1.5 million metric tons (Mt) in 1950 to 400.3 Mt in 2022, resulting in a substantial increase of marine litter along the ...