However, employing deep and machine learning algorithms on complex datasets of vehicle images has failed to achieve accuracy in various climate conditions and has been time-consuming. This paper ...

Multi-agent task allocation method based on cost-effectiveness maximization multi-round auction algorithm Provisionally accepted ...

To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...

Hence, this study evaluates whether retrieving SDD for global lakes is possible by applying machine learning algorithms using Landsat top-of-atmosphere (TOA) reflectance embedded in GEE.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.