Published in: Global Knowledge, Memory and Communication Journal
Jul 04, 2024
The purpose of this study is to examine the role of specific human resources (HR) practices (leadership, employee relations, employee safety, rewards and incentives and career opportunities) on organizational performance in the context of the Middle Eastern market, with a specific focus on the United Arab Emirates (UAE) hotel sector. A comprehensive research methodology was used for this study. Two distinct questionnaires were crafted: one targeting 338 hotel employees who completed the HR...
Published in: Lawyer QuarterlyVolume 14, Issue 2, Pages 268 - 2803 June 2024
Jul 03, 2024
This article presents the compensation for victims of terrorist crime in the French and Jordanian legislation by conducting a comparative analytical study of the legal texts in the French and Jordanian legis-lation. It addresses this issue by clarifying the position of the French and Jordanian legislation on compensating the victims of terrorist crime. The article concludes that the French legislator approved legislative texts that help the victims of terrorist crime claim compensation based on...
Published in: IEEE Transactions on Antennas and Propagation
Jul 01, 2024
This paper introduces a novel self-triplexing implantable antenna designed to operate in head implants. It works at three distinct frequency bands: 403 MHz on Port 1, 915 MHz on Port 2, and 1410 MHz on Port 3. The antenna design incorporates a high-permittivity laminate and triangular meandered resonators, which extend the current path and enable significant miniaturization. The resulting antenna occupies a volume of only 8 mm × 12.5 mm × 0.3 mm (30 mm3). An ultra-thin substrate of 0.3 mm is ut...
Published in: Revue d'Intelligence Artificielle
Jul 01, 2024
Deepfakes, hyper-realistic synthetic media created using artificial intelligence, pose a growing threat to trust in information and online interactions, serious challenge to the integrity of digital content. This paper delves into the evolving landscape of deepfake detection. Our primary objectives are analyzing the techniques used to detect fake videos, tracing their development alongside the advancements in deep learning that enable increasingly sophisticated deepfakes, assessing societal imp...
Published in: Nature Communications
Jun 24, 2024
Published in: IEEE Access
Jun 05, 2024
Detecting malware is crucial for ensuring the security of computer systems. Traditional machine learning models face challenges in effectively detecting malware, mainly due to the class imbalance problem, where the number of malware samples is significantly smaller than that of non-malware samples. Additionally, malware’s dynamic and evolving nature, continuously altering its structure and tactics, presents a substantial challenge for conventional artificial intelligence algorithms, further com...
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