New 100 mg/dL Target Glucose setting offers more customization and tighter glucose management. Enhanced algorithm helps users remain in Automated Mode to improve the user experience. Most requested ...

Datasets often incorporate various functional patterns related to different aspects or regimes, which are typically not equally present throughout the dataset. We propose a novel partitioning ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Nearly a month into the ICE sweeps that have upended immigrant life in Southern California, I found myself rummaging through some boxes in my garage, searching for understanding. I pulled out dusty ...

Given an album with more than 1 song, partition the songs into an even number of sides with some sort of max capacity (maybe 22 minutes). The current algorithm is greedy and just places songs until ...

ABSTRACT: Background: Unjustified emergency department (ED) visits are a global issue, contributing to overcrowding, reduced care quality, decreased patient satisfaction, and increased healthcare ...

Section 3(k) excludes pure algorithms and business methods from patentability. Blackberry’s cases test when software inventions qualify for patents in India. Delhi High Court rulings clarify criteria ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...