Titlebook: International Joint Conferences; 17th International C Héctor Quintián,Emilio Corchado,Paolo Fosci Conference proceedings 2024 The Editor(s)

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Mangle

Łukasz Saganowski,Tomasz Andrysiakn approach by replacing congruence axioms with a transformatIn this monograph, the authors present a modern development of Euclidean geometry from independent axioms, using up-to-date language and providing detailed proofs. The axioms for incidence, betweenness, and plane separation are close to tho

heart-murmur

Raúl Bayón-Martínez,Laura Inyesto-Alonso,Adrián Campazas-Vega,Gonzalo Esteban-Costales,Claudia Álvar the linearized gravitational field. For real scalar fields, the boundary conditions are local, of the Dirichlet, or Neumann, or Robin type. Local and mixed boundary conditions may be necessary for complex scalar fields, in that the real part obeys Dirichlet conditions and the imaginary part obeys R

molest

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Bravura

Blockchain-Based Random Selection Among a Private Number of Candidatesensitive ecosystems like healthcare or education, also require an additional degree of privacy by avoiding information leakage about the number of candidates for the selection. Despite this, existing literature lacks comprehensive solutions that maintain this privacy while upholding transparency and

dermatomyositis

Magisterial

An Approach Based on LLMs for Forensic Threat Detection in Autonomous Systemsecurity measures to protect humans from possible accidents or cyber-attacks on a robotic system are essential. However, after an unexpected event, whether caused by a system malfunction or the influence of a malicious actor, it must be possible to explain what happened. In this paper, we propose to

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Smart Water Meter Network Anomaly and Failure Detection Systemers are collected, aggregated and prepared for initial processing. In the next step, we check whether there are any gaps in the time series and, if so, we fill them using interpolation. After this time, the time series is processed by machine learning algorithms in real time. Traffic features from t

configuration

Design and Implementation of a Fast, Platform-Adaptive, AIS-20/31 Compliant PLL-Based True Random Nugenerating random numbers. Their widespread deployment, isolated functionality within these devices, and robust entropy, as demonstrated in prior studies, position PLL-based true random number generators (PLL-TRNGs) as highly viable solutions for this purpose. This study explicitly examines PLL-TRNG