Structural defects that form during additive manufacturing, also known as 3D printing, are a barrier to some applications of ...

User and entity behavior analytics can become a foundational tool for keeping pace with cybersecurity threats in the age of ...

The most innovative and disruptive enabler in Industry 5.0 is the emerging scope of state-of-the-art technology – Artificial ...

It’s now essential for IT security teams to have oversight of cloud computing, and AWS offers a plethora of tools to make ...

A hardware FPGA platform serves as a valid embedded architecture for the purpose of validating object detection and recognition ... cloud images to apply different machine learning models to detect ...

ABSTRACT: This study presents a comprehensive comparative analysis of machine learning models for real-time detection of Mirai botnet attacks ... and Support Vector Machine—using the BoTNeTIoT-L01 ...

Abstract: Anomaly detection is a critical aspect of various applications, including security, healthcare, and network monitoring. In this study, we introduce FusionNet, an innovative ensemble model ...

The object detection required for ... areas where security is essential in machine vision applications: “Security should be addressed throughout the SoC design using industry standards such as ...

Object localization ... to tailor a machine-learning model to your needs. One such effective implementation is the YOLO v3 paradigm. The YOLOv3 TensorFlow library is a pioneering implementation of the ...