EurekAlert!

Accelerated streaming subgraph matching framework is faster, more robust, and scalable

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
RCR Wireless News

How telcos can use AI to predict and prevent customer churn

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...
C&EN

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K-Nearest Neighbor Analysis and K-Medoids Clustering

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...
IEEE

K-Nearest Neighbors in Machine Learning: Theory, Practice, and Advances

Abstract: K-Nearest Neighbors (KNN) is a basic model in a ML field used for classification or prediction analysis owing to its efficiency. The following paper will be a survey paper focused on ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
Frontiers

Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm

1 Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China 2 Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, ...
labs.sogeti

MACHINE LEARNING ALGORITHMS FOR TEST AUTOMATION

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...