The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

Gohar Hambardzumyan is launching the Bridgeway Institute to bridge language barriers and create pathways to success for ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...

Introduction: Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot ...