New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to severe valvular heart disease during routine clinical examinations, compared to ...

Abstract: The face recognition systems have significant difficulties associated with leakage privacy, presentation attack, cross domain robustness, and efficiency of edge devices. Our suggested ...

As Iranian authorities restore some online services after crushing antigovernment demonstrations, they are using a technological dragnet to target attendees of the protests. By Adam Satariano Paul ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...