In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Companies that invest in building a structured, consistent and credible digital footprint position themselves to gain from a ...

The roundtable hosted by Uminers and Cointelegraph centered around the state of crypto mining, strategies due to changing ...

False track suppression is the difficult problem of data processing for radar. The two are contradictory to ensure the true track starts smoothly and that all possible false tracks are suppressed.

The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform ...