Mantenimiento área industrial

Link prediction in complex networks is a critical process aimed at uncovering hidden or potential connections among nodes. This technique is widely utilized in areas such as knowledge graphs. Current Graph Neural Networks (GNNs) often focus exclusively on determining whether nodes are connected or assessing the strength of these links by leveraging node attributes. They […]

5G and beyond networks will require fast, energy efficient, and secure initial access. In this study, a deep learning-based secure initial beam selection method is proposed that ranks the beam pairs between a transmitter and a legitimate user aiming to maximize the signal strength the user receives, while keeping the signal strength that the eavesdropper

The rapid advancement of artificial intelligence has observed increased application in predicting vehicle interior noise levels within the automotive industry. However, the collection of labeled data for training models in this context involves significant costs. Previous studies in semi-supervised regression (SSR) have effectively mitigated the reliance on labeled data by incorporating unlabeled data. Nonetheless, these

Line-start synchronous reluctance motors (LSSynRM) combine the high efficiency of synchronous reluctance Motors (SynRM) with the self-starting capability of induction motors. They operate at synchronous speed in steady state and produce minor rotor losses, thereby providing higher efficiency than induction motors and a higher power density. Despite the simple structure of LSSynRM, its analysis, modeling,

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Data and privacy laws, such as the GDPR, require mobile apps that collect and process the personal data of their citizens to have a legally-compliant policy. Since these mobile apps are hosted on app distribution platforms such as Google Play Store and App Store, the app publishers also require the app developers who wish to

We introduce BERT-NAR-BERT (BnB) – a pre-trained non-autoregressive sequence-to-sequence model, which employs BERT as the backbone for the encoder and decoder for natural language understanding and generation tasks. During the pre-training and fine-tuning with BERT-NAR-BERT, two challenging aspects are considered by adopting the length classification and connectionist temporal classification models to control the output length

Virtual Reality (VR) and Augmented Reality (AR) have revolutionized digital content interaction. To achieve immersive interaction experiences, multi-sensory input is essential. Electronic skin (e-skin) compensates for the lack of sensory experience beyond visual and auditory senses with its characteristics of compact, lightweight, highly flexible, and adhering seamlessly to the body. This review comprehensively summarizes the

High-resolution microdisplays that offer superior picture quality are pivotal display components in immersive augmented reality (AR) and virtual reality (VR) systems. For AR and VR applications, the microdisplays must satisfy major requirements such as high resolution, exceptional brightness, and a broad color gamut to ensure clear and vivid picture quality. Quantum-dot light-emitting diodes (QD-LEDs) are