Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

FAU research explores if Quantum Computers could learn to predict lung cancer using limited patient data, achieving 94.31% ...

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...

Researchers investigated how quantum computing could improve machine learning when healthcare data are limited. Testing five ...

Mumbai's mangrove cover has decreased significantly, with a loss of approximately 30.20 square kilometers recorded.

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A ...

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.

AU researchers tested quantum machine learning for lung cancer prediction, with a D-Wave annealing method reaching 91.90% ...

A new hybrid quantum network flags suspicious accounts with fewer false alarms, improving trade surveillance analytics.

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

This project bridges the gap between Data Science and Computer Organization & Architecture (COA). While predicting forest fires using the UCI Machine Learning Repository dataset, this application goes ...