This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...

A new machine learning approach has enabled researchers to understand the role of neural cells including astrocytes in ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain ...

In the past several years, researchers have exploited the pattern-finding power of machine learning to create new frameworks ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

Researchers from the Institute of Modern Physics (CAS-IMP) have introduced an innovative ML model for classifying faults occurring in SRF cavities ...

Industrial Equipment Fault Detection, Fault Diagnosis, Support Vector Machine, Decision Tree CART, Random Forest Share and Cite: Cai, G. (2025) Research on Fault Detection and Classification of ...

HealthSecureNet operates through a three-tiered machine learning architecture that combines Gradient Boosting and Support ...