IEEE

Data Sourcing Random Access Using Semantic Queries for Massive IoT Scenarios

Abstract: Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge by ...
Interesting Engineering

Scientists create perfectly random numbers using entangled quantum chips for first time

Two quantum chips linked through a 30-meter cooled tube enabled scientists to create certified perfectly random numbers.ETH Zurich Researchers at ETH Zurich have developed a method to generate what ...
Searchenginejournal.com

Machine-First Architecture: How To Build Websites Machines Can Identify, Read, Cite & Use

In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...
Nature

Comparative analysis of support vector machines, artificial neural network, random forest and gradient boosting for predictive maintenance in mining machinery and equipment: a ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...