Austin, Texas, Jan. 20, 2026 (GLOBE NEWSWIRE) -- As an award–winning company working at the intersection of AI, machine learning, and high-stakes scientific data, Sophelio builds signal-first, ...
As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Background: Stress-induced hyperglycemia (SHG) represents a significant metabolic complication in non-diabetic cardiac surgery older adult patients, with substantial implications for postoperative ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Abstract: Spectrum sensing is boosting the research to find more techniques to improve reliable spectrum utilization in cognitive radio networks. Machine learning can significantly contribute to ...
Cadmium (Cd), a toxic heavy metal, poses a growing threat to food safety through its accumulation in crops. Wheat, in particular, tends to absorb more cadmium than rice due to its higher internal ...
This schematic illustrates the full workflow of a new study that integrates field and literature data, correlation analysis, and predictive modeling—including machine learning and geochemical ...
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