Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States Department of Chemistry and Chemical Biology, Northeastern University, Boston, ...

Recommendation systems power everything from e-commerce to streaming services, making them an essential piece of modern AI and data science. Recommendation systems are everywhere, shaping our digital ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The efficiency of machine learning (ML) models is crucial to minimize inference times ...

This section provides detailed descriptions of the dataset, a simple matching algorithm for evaluation of detection results, and a basic baseline approach for individual tree detection to benchmark ...

Over the last decade, single-molecule localization microscopy (SMLM) has revolutionized cell biology, making it possible to monitor molecular organization and dynamics with spatial resolution of a few ...

A k-nearest neighbors is algorithm used for classification and regression. It classifies a new data point by finding the k-nearest points in the training dataset and assigns it the majority class ...

The PoCA graphical user interface (GUI) is simple, intuitive and user friendly (Fig. 1b). It is designed to allow users as well as developers to perform efficient investigation and quantitative ...

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...

The growing awareness of cardiovascular toxicity from cancer therapies has led to the emerging field of cardio‐oncology, which centers on preventing, detecting, and treating patients with cardiac ...