AI-driven forecasting and optimization are transforming the automotive supply chain, improving demand accuracy, cutting inventory costs, and enhancing resilience. Studies highlight gains from ensemble ...

With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual ...

Predictive modeling is reshaping how businesses anticipate challenges, seize opportunities, and optimize processes. By leveraging machine learning, ensemble methods, and advanced analytics, ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Researchers at Institute of Industrial Science, The University of Tokyo  and George Mason University‘s College of Science have developed a new method that improves air temperature forecasts one to ...

Tanmay Sharma is redefining AI-driven patient identification in biopharma, using advanced analytics to find the right patient ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Microplastics pose health risks, but lab studies often fail to reflect real-world exposure, highlighting critical gaps in ...

As mobile financial fraud grows increasingly sophisticated, a new intelligent system tracking how users type and swipe offers ...

Oberlin College announced the awardees of the AI Micro Grant Program on April 9 in the Campus Digest as part of the ongoing ...