Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on
how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered …

Abstract Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled
text-image pairs, has demonstrated great performance in open-world vision understanding …

Anomaly detection, aka outlier detection or novelty detection, has been a lasting yet active
research area in various research communities for several decades. There are still some …

We introduce the Open Force Field (OpenFF) 2.0. 0 small molecule force field for drug-like
molecules, code-named Sage, which builds upon our previous iteration, Parsley. OpenFF …

Clustering is a fundamental machine learning task, which aim at assigning instances into
groups so that similar samples belong to the same cluster while dissimilar samples belong …

Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …

A major challenge when using k-means clustering often is how to choose the parameter k,
the number of clusters. In this letter, we want to point out that it is very easy to draw poor …

Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for
characterizing urban landscapes, providing a holistic classification approach that takes into …