Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Imager is a specialized utility developed to automate the manual bottleneck of gathering image datasets. Unlike traditional scraping methods that struggle with JavaScript-heavy sites, Imager leverages ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Objective: This study aims to evaluate the value of a machine learning model based on tongue features in the adjunctive diagnosis of Hashimoto’s thyroiditis (HT) and its concomitant hypothyroidism.

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

This repository documents my complete learning journey through the Coursera course Remote Sensing Image Acquisition, Analysis, and Applications. It is part of my broader PhD preparation plan in ...

Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...

The finance industry has always been a data-driven field, relying heavily on numbers, charts, and patterns to make strategic decisions. However, in recent years, the scope of data analysis has ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...