This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

We investigate the use of machine learning techniques in predicting task effort and duration in software projects to assess their applicability and effectiveness in production environments, identify ...

To our knowledge, no large-scale, multicenter study has comprehensively analyzed the various dimension predictors of adherence to electronic patient-reported outcomes (ePRO)-guided nutritional ...

What Are Application Security Testing Tools?  Application security testing (AST) tools identify vulnerabilities and ...

This project demonstrates basic CRUD operations on a database using Django's ORM (Object-Relational Mapping). It includes functionality to create, retrieve, update, and delete records from a database ...

Project Brainwave is a deep learning platform for real-time AI inference in the cloud and on the edge. A soft Neural Processing Unit (NPU), based on a high-performance field-programmable gate array ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...