A GP model is proposed to be trained to predict a reward function using trajectory-reward pair data generated by deep reinforcement learning with different reward functions. The trained GP ...

The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

This study evaluates the performance of twenty-four machine learning models (MLMs) in forecasting SPVP in Bamenda, Cameroon. The study uses data from Photovoltaic Geographical Information System with ...

This study evaluates the performance of twenty-four machine learning models (MLMs) in forecasting SPVP in Bamenda, Cameroon. The study uses data from Photovoltaic Geographical Information System with ...

The conversion of CO2 into methanol through hydrogenation represents a promising approach for the utilization of CO2 and sustainable chemical production. However, current industrial methods rely on ...

Personalized e-learning systems have transformed the delivery of educational content, aligning it more closely with individual learners’ needs. Among the various approaches to achieving this ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...