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Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
A comprehensive experimental investigation of the rate-dependent interlaminar delamination behaviour of CFRP composites
(Elsevier, 2023)
The paper presents a systematic experimental study of the interlaminar delamination behaviour of a carbon composite subjected to Mode I, Mode II and Mixed-mode delamination at both quasi-static (QS) and high-rate (HR) ...
Testing the verification and validation capability of a DCP-based interface for distributed real-time applications
(MDPI, 2023)
Cyber–physical systems (CPS) integrate diverse elements developed by various vendors, often dispersed geographically, posing significant development challenges. This paper presents an improved version of our previously ...
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
(Elsevier, 2023)
The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ...
Physicochemical characterization of hydrophobic type III and type V deep eutectic solvents based on carboxylic acids
(Elsevier, 2023)
In the present work, novel type III and type V deep eutectic solvents (DESs) were prepared by mixing choline chloride (ChCl), tetrabutylammonium chloride (TBAC) or thymol as HBA, and different alkyl chain length carboxylic ...
Development and validation of an automatic manufacturing process for fiberglass compositesDesarrollo y validación de un proceso automático de fabricación de composites de fibra de vidrio
(Dyna Publishing, 2023)
Fiberglass reinforced polymeric composites are ideal for various applications due to their mechanical properties and lightweight. However, nowadays many fiberglass reinforced composite manufacturing processes are manual, ...
Measurement Based Stochastic Channel Model for 60 GHz Mmwave Industrial Communications
(IEEE, 2023)
Communications in the mmWave spectrum are gaining relevance in the last years as they are a promising candidate to cope with the increasing demand of throughput and latency in different use cases. Nowadays, several efforts ...
Correcting distortions of thin-walled machined parts by machine hammer peening
(Elsevier, 2023)
Thin-walled aerostructural components frequently get distorted after the machining process. Reworking to correct distortions or eventually rejecting parts significantly increases the cost. This paper proposes a new approach ...
A multiscale material model for metallic powder compaction during hot isostatic pressing
(Elsevier, 2023)
The prediction of the distortions during Near-Net-Shape Hot Isostatic Pressing (NNS-HIP) is an intrinsic multiscale problem where the local interactions among particles determine the macroscopic distortions taking place ...
Sensitivity Analysis of the Design Parameters of Permanent Magnet Synchronous Motors for Vibration Reduction
(MDPI, 2023)
The use of electric motors, and particularly, Permanent Magnet Synchronous Motors, is increasing in recent years, and their vibration response is one of the most crucial aspects regarding their behaviour. Thus, the reduction ...