A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

Criterion (iv): An ensemble of sites along the southern part of the Camino Real de Tierra Adentro, including examples of buildings, architectural and technological ensembles, illustrate a significant ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

More than a year ago, computational scientists at the Department of Energy's Oak Ridge National Laboratory published a study ...

Water is the most prevalent component of biomolecular simulations - from protein ensembles to nucleic acids - and ...

SVMnet: Non-Parametric Image Classification Based on Convolutional Ensembles of Support Vector Machines for Small Training Sets ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In this paper, we consider the problem of classifying skin lesions into multiple classes using both dermoscopic and clinical images. Different convolutional neural network architectures are considered ...

Automating the analysis portion of materials characterization by electron microscopy (EM) has the potential to accelerate the process of scientific discovery. To this end, we present a Bayesian ...