A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants ...

Abstract: This article proposes an intelligent prediction method for the orbital lifetime of resident space objects (RSOs) in low-Earth orbit. This method is intended to satisfy the computational ...

NORMAN — OU football opens its 2025 season against Illinois State on Aug. 30 at Gaylord Family — Oklahoma Memorial Stadium. The Sooners’ depth chart is expected to be released sometime next week. Here ...

NORMAN — OU football opens its 2025 season against Illinois State next Saturday at Gaylord Family — Oklahoma Memorial Stadium. The Sooners’ depth chart is expected to be released sometime next week.

Japanese carrier All Nippon Airways has implemented a turbulence-prediction service based on artificial intelligence, following several years of testing and validation. ANA and Keio University formed ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily Computable The imaging cohort consisted of ...

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...