A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Each of our versions of reality is changing with AI. This could erode our ability to agree on basic facts or navigate shared challenges.

Most of the conducted papers focused on addressing the TC in tandem with metaheuristic algorithms based on the wrapper and hybrid FS approaches. Future research should focus on using a hybrid-based FS ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Based on UAV-LiDAR data, four key protected forests, Populus alba, Populus simmonii, Pinus sylvestris, and Pinus tabulformis were selected as research objects, then machine learning and deep learning ...

Thus, machine learning-based feature selection techniques are implemented to select only the relevant genes affecting the target class (outcome). We implemented one such gene selection method for ...