Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...

This paper compares the performance of traditional models and machine learning (ML) models for mortgage credit risk ...

Cancer risk physical activity research reaches a new milestone: a UCL-led wearable study of 59,218 UK adults found just 3 ...

An XGBoost and SHAP framework maps wildfire susceptibility across Antalya and shows how human-related factors become more ...

Spread the love“`html Look, if you’re in finance, you’ve felt the tremors. The ground beneath our feet is shifting, and it’s ...

Machine learning decodes the complex chemical signatures in human breath to deliver rapid, non-invasive tuberculosis diagnoses ...

A global team of astronomers, armed with leading-edge AI tools, has discovered a sensational archipelago of exoplanets ...

Innovation pays off: Dheeraj (left) and Mukil holding up the certificates they received for the Best Paper Award. DECISION-MAKING is central to many sectors, including agriculture. For farmers, making ...

To develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.

Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models ...

Abstract: Serious challenges are imposed on the power system due to an increase in loading of power networks, large interconnections and frequent disturbances such as switching operations, faults and ...