In this paper, to address the problems of inconsistency between dynamic and static and low time efficiency of manual classification, a set of dynamic and static integrated classification models for ...

Sorting algorithms are very important for situations where millions of values need to be sorted when the number of values that needs to be sorted is very high it can be very time consuming for a ...

ABSTRACT Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify ...

To avoid these difficulties, classification algorithms can be used to detect the presence and location of brain lesions or identify the lesion type. During the last decades, several research ...

The traditional filtering algorithm uses slope and elevation differences to distinguish between ground and nonground points. However, this approach results in subpar filtering in complex scenes and ...

The research team implemented the algorithm for a year and compared admissions data for that year with the year prior, seeing a 10% decrease in admissions with no difference in readmissions.

Google is looking to compete in vibe coding with Stitch, which designs user interfaces (UIs) with one prompt.

New machine algorithm could identify cardiovascular risk at the click of a button Date: April 29, 2025 Source: Edith Cowan University Summary: An automated machine learning program has been able ...

Accurate analyte classification remains a significant challenge in sensor technologies. We present the Analyte Classification and Feature Selection Algorithm (ACFSA), a computational tool designed to ...

JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.13 No.2, February 25, 2025 ABSTRACT: We implemented a two-step Asymmetric Perfectly Matched Layer (APML) model in High-Order Finite ...