GCN

Databricks adds FedRAMP/IRAP to Mosaic AI endpoints

Databricks has added FedRAMP Moderate and IRAP compliance support to Mosaic AI Vector Search standard endpoints, enabling ...
Communications of the ACM

Quantum Computing Research in the Arab World

The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
IEEE

Rainfall Classification Using Machine Learning Algorithms on Data Mining Platforms

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
Chromatography Online

Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of materials informatics, with numerous attempts and insights into the ...
IEEE

A Fuzzy Granular Support Vector Machine for Network Traffic Anomaly Detection

Abstract: To address the challenges in network anomaly detection, such as data label imbalance and the poor performance of traditional Support Vector Machines (SVM) in fitting high-dimensional, ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
Frontiers

Prediction of NR3C1 as a methylation marker for the prevention and treatment of gastric cancer in Rhizoma Atractylodis Macrocephalae based on machine learning algorithm and ...

Objective: The aim of this study was to identify the markers of Rhizoma Atractylodis Macrocephalae (RAM) for the prevention and treatment of gastric cancer using bioinformatics analysis. Methods: The ...