IEEE

Fault Diagnosis and Prediction of Electric Vehicle Drive using Support Vector Machine Algorithm

Preventive identification of Electric Vehicle (EV) drive faults always play a vital role in machine condition monitoring. Further, Machine Learning (ML) algorithms are becoming essential for ensuring ...
Gut

Bacterial genomic structural variations in children with autism serve as diagnostic biomarkers

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...
The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
Technology Networks

Machine Learning Applications in Proteomics

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Clinically informed AI outperforms foundation models in spinal cord disease prediction

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...
IEEE

Research on Optimizing the Intelligent Recommendation System of College Courses by Machine Learning Algorithm

Abstract: This paper proposes a course intelligent recommendation system based on machine learning algorithm to achieve more accurate personalized recommendation. The system uses deep learning model ...