Discover the top antivirus software solutions for Android devices in 2026, designed to protect enterprises from sophisticated mobile threats, including ransomware and phishing. Get the insights you ...

The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...

Security Management System, Vocational Training Bases, System Architecture, Agile Scrum, System Design Share and Cite: Qiu, X. (2025) Research and Practice on an IoT-Enabled Security Management System ...

General practice in the UK has undergone significant digital transformation, with cloud-based EHR systems replacing legacy on ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

In this tutorial, we explore LitServe, a lightweight and powerful serving framework that allows us to deploy machine learning models as APIs with minimal effort. We build and test multiple endpoints ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Winning Teachers to Receive Up to $330,000 in Prizes for Their Innovative Ways to Provide Quality Lab Experiences to Their Students Judges will evaluate entries based on various criteria, including ...

Introduction: Type 2 diabetes mellitus (T2DM) is a globally prevalent metabolic disease, and emerging studies have revealed its strong association with calcific aortic valve disease (CAVD). Chronic ...

WASHINGTON--(BUSINESS WIRE)--WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program designed to equip learners with advanced technical ...

Abstract: E-Commerce fraudulent returns pose significant challenges, resulting in substantial financial losses and damaging reputations. This study proposes a hybrid framework for fraud detection, ...