AI-augmented research can speed up processes such as literature review and data synthesis. Here, Ali Shiri looks at ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Abstract: With the increase of spaceborne synthetic aperture radar (SAR) platforms, numerous SAR images are available for ship detection applications. Traditional deep learning-based detection methods ...

Introduction Human papillomavirus (HPV) vaccines have been introduced in the Chinese market since 2016. However, the HPV ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A University of Wyoming alumnus and a UW professor of statistics have published a study proposing the use of spatially ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

Abstract: Due to the random behavior of conductors in machines with random windings, it is difficult to predict and calculate the Alternating Current (AC) copper loss. This paper proposes a practical ...

Most of the time, you assume your brain is either “on” or “off,” awake or asleep. A new study shows something far more ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...