This paper considers the unsupervised learning of high-dimensional binary feature vectors representing categorical information. A cognitively inspired framework, referred to as modeling fields theory ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

Understanding key machine learning algorithms is crucial for solving real-world data problems effectively. Data scientists should master both supervised and unsupervised learning algorithms for ...

Their proposed model, outlined in a paper published in Nature Human Behavior, combines advanced machine learning algorithms with behavioral science theory. "Human-decision research is rich in ...

Brain Computer Interface (BCI) or Brain Machine Interface (BMI) is evolving rapidly, as machine learning algorithms are getting improved. Every algorithm uses its own approach to train and test on ...