Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
GitHub

PLSSVM - Parallel Least Squares Support Vector Machine

A Support Vector Machine (SVM) is a supervised machine learning model. In its basic form SVMs are used for binary classification tasks. Their fundamental idea is to learn a hyperplane which separates ...
Design News

How to Build an Arduino-Based Solar Power Prediction System Using Python & Machine Learning, Part 2

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
IEEE

Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning Model

Abstract: This study focuses on enhancing the accuracy and efficiency of semantic analysis systems for recognizing moving objects within video sequences. The primary aim is to improve object detection ...
IEEE

Sentiment Analysis of Google Classroom Application Using Support Vector Machine

Abstract: Technological advances are growing very rapidly and affect human life and also have an impact during the pandemic. During the pandemic, Google Classroom ranks first on the platform that is ...
Frontiers

Comparing algorithms for assessing upper limb use with inertial measurement units

The various existing measures to quantify upper limb use from wrist-worn inertial measurement units can be grouped into three categories: 1) Thresholded activity counting, 2) Gross movement score and ...