Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...
Business Daily Africa

Credit scoring: When algorithms meet the farm gate

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...
ET CIO

Legacy Language Migration in the AI Era: Expert Insights on How CIOs Can Reduce Technical Debt and Accelerate Code Modernisation with AI

Discover how CIOs can leverage AI to modernize legacy programming languages, reduce technical debt, and enhance operational ...
RMD Open

Distinct pattern of comorbidities hinders treatment target attainment in SLE through persistent disease activity and delayed glucocorticoid tapering: longitudinal data from a ...

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many patients fail to achieve them, underscoring the need to identify contributing ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
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7 Uses for the random Module in Python

Want to add a little unpredictability to your Python code? The random module is the quickest way to do it. From generating numbers and shuffling lists to simulating real-world randomness, it's one of ...