Learn essential Nmap commands for network scanning, port discovery, and OS detection. Complete guide with examples and a ...

Abstract: In this work, we describe a complete step-by-step workflow to apply machine-learning (ML) classification for chipless radio-frequency identification (RFID) tag identification, covering: 1) ...

Programmers learning Rust struggle to understand own ership types, Rust’s core mechanism for ensuring memory safety without garbage collection. This paper describes our process of systematically ...

In March, we expect mercurial weather—intrat leo, exeunt agnus—but this March has taken things to an extreme. In Washington, D.C., where I live, the weather was eighty-four degrees and sunny one day, ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

The problem of time series segmentation (TSS) is to find a meaningful segmentation of a time series (TS) that captures a data-generating process with distinct states and transitions. We consider a ...

FormalVerifML is a state-of-the-art framework for formally verifying machine learning models using Lean 4. It provides comprehensive support for verifying properties such as robustness, fairness, ...

Artificial intelligence (AI) that works with mind-reading machines is the type of technology that we’ll need to reproduce what we experience in our dreams. However, the study was focused on sleep ...

Abstract: In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-physic systems (CPS) in order to improve the industrial environment. Accordingly, the ...