The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

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 ...

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 ...

To address this challenge, we propose an effective wrapper-based feature selection approach called BTLBO-KNN. It combines an improved Binary Teaching-Learning Based Optimization (BTLBO) algorithm with ...