Abstract: The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
bDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China cHunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and ...
Abstract: In vehicle trajectory prediction, traditional methods like Kalman filtering often rely heavily on user expertise and prior knowledge, while newer deep learning approaches, such as Long Short ...
BaNDyT (Bayesian Network analisis of molecular Dynamic simulation Trajectories): software package that implements the Bayesian Network Modeling specifically attuned to the MD simulation trajectories ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Atomistic molecular dynamics (MD) simulations have become an indispensable tool for ...
aThe Zena and Michael A Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA ...
Implementation of BANSAC, a new guided sampling process for RANSAC. Previous methods either assume no prior information about the inlier/outlier classification of data points or use some previously ...
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