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A Modular AI-Driven Intrusion Detection System for Network Traffic Monitoring in Industry 4.0, Using Nvidia Morpheus and Generative Adversarial Networks.
Sensors (Basel)
December 2024
Department of Automation and Industrial Informatics, Faculty of Automatic Control and Computer Sciences, National University of Science and Technology Polithenica Bucharest, 313 Spl. Independenței, RO060042 Bucharest, Romania.
Every day, a considerable number of new cybersecurity attacks are reported, and the traditional methods of defense struggle to keep up with them. In the current context of the digital era, where industrial environments handle large data volumes, new cybersecurity solutions are required, and intrusion detection systems (IDSs) based on artificial intelligence (AI) algorithms are coming up with an answer to this critical issue. This paper presents an approach for implementing a generic model of a network-based intrusion detection system for Industry 4.
View Article and Find Full Text PDFPractical management of patients with IDH-mutant glioma in the coming era of mIDH inhibitors: New drugs, new evidence, new guidelines, and new considerations.
Neurooncol Pract
February 2025
Department of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Destination Therapy Strategies of Advanced Heart Failure in Elderly Non-Heart Transplant Candidates: A Propensity Matching Analysis from the LEVO-D and REGALAD Registries.
Life (Basel)
November 2024
Hospital Universitari de Bellvitge, IDIBELL, Universitat de Barcelona, CIBER-CV, Hospitalet del Llobregat, 08007 Barcelona, Spain.
Heart transplantation (HT) is the gold standard therapy for advanced heart failure (ADHF), and LVADs as destination therapy are an option in non-HT candidates. Most patients with ADHF never receive HT or an LVAD, so alternative strategies are needed. Intermittent levosimendan can reduce HF hospitalizations in ADHF patients in the short term.
View Article and Find Full Text PDFDigital competency among pediatric healthcare workers and students: a questionnaire survey.
World J Pediatr
January 2025
Binjiang Institute of Zhejiang University, Hangzhou, 310053, China.
Background: Digital technologies play an important role in improving the quality of healthcare services, however, many healthcare workers and students do not recognize this and have low levels of digital competencies and skills. Therefore, this paper aims to investigate digital perceptions and competencies among medical students in pediatrics and pediatric healthcare workers in China.
Methods: A questionnaire on digital competency was designed.
Enhancing Persian text summarization through a three-phase fine-tuning and reinforcement learning approach with the mT5 transformer model.
Sci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. The constant influx of news articles from various agencies necessitates an enormous amount of time to digest comprehensively. A viable solution to address this challenge lies in the realm of automatic text summarization, which is a pivotal and intricate endeavor within the field of natural language processing.
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