Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...

The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a ...

Translating regenerative medicine from lab research to large-scale clinical and commercial production requires robust, scalable, and tightly controlled ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Beyond anomaly detection, the work also explored how AI could reduce repetitive effort during payroll execution. Payroll and garnishment teams frequently use the same input prompt ...