As AI servers, data centers, automotive and industrial systems demand higher efficiency designs, deterministic real-time control and quantum-resistant ...

Devices integrate precise real-time control, rich analog capability and post-quantum cryptography to simplify designs and ...

Valve’s Steam Machine desktop is currently in a state of involuntary limbo, driven by historically awful pricing and availability for memory and storage chips. AI data centers are absorbing much of ...

Abstract: Compared with the conventional twin support vector machine (TSVM), the least squares TWSVM (LSTSVM) possesses the advantages of faster training speed and better generalization performance.

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

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 (DTI) to ...

Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...

Abstract: Motorcycle accidents are a global issue, often leading to severe injuries or fatalities due to delayed emergency responses. In response, RiderRescue introduces an innovative IoT-based crash ...