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| http://dx.doi.org/10.1073/pnas.1908871116 | DOI Listing |
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Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment.
Sci Rep
January 2025
Department of Artificial Intelligence and Data Science, College of Computer Science and Engineering, University of Hail, Hail, Saudi Arabia.
In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.
View Article and Find Full Text PDFInvestigation of corrosion and water absorption of biomass natural coir fiber/hBN reinforced epoxy hybrid composites using different optimisation approaches.
Sci Rep
January 2025
Centre for Advanced Materials and Innovative Technologies, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India.
Agricultural waste or agro-waste, including natural fibers and particles from various crop parts, is increasingly recognized as a significant contributor to environmental issues. However, from a circular economy perspective, these materials present an opportunity to be repurposed into new, eco-friendly products. The present study, specifically focuses on understanding the effect of different factors, such as the particulate loading and the size (coir and hBN - 1 to 5 wt%; Coir Powder size (100-200 μm) of the particles on composite's corrosion rates and water absorption properties.
View Article and Find Full Text PDFWho is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support.
Front Neurosci
January 2025
Department of Mathematics, University of Antwerp-Interuniversity Microelectronics Centre (imec), Antwerp, Belgium.
Introduction: The study of attention has been pivotal in advancing our comprehension of cognition. The goal of this study is to investigate which EEG data representations or features are most closely linked to attention, and to what extent they can handle the cross-subject variability.
Methods: We explore the features obtained from the univariate time series from a single EEG channel, such as time domain features and recurrence plots, as well as representations obtained directly from the multivariate time series, such as global field power or functional brain networks.
Technological Advancements in Augmented, Mixed, and Virtual Reality Technologies for Surgery: A Systematic Review.
Cureus
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Private Practice, General Vascular Surgery Medical Group, Inc., San Leandro, USA.
Recent advancements in artificial intelligence (AI) have shown significant potential in the medical field, although many applications are still in the research phase. This paper provides a comprehensive review of advancements in augmented reality (AR), mixed reality (MR), and virtual reality (VR) for surgical applications from 2019 to 2024 to accelerate the transition of AI from the research to the clinical phase. This paper also provides an overview of proposed databases for further use in extended reality (XR), which includes AR, MR, and VR, as well as a summary of typical research applications involving XR in surgical practices.
View Article and Find Full Text PDFLecturers' teaching competencies towards improving teaching and learning process in universities in Tanzania: Students' perspectives.
Heliyon
January 2025
The University of Dodoma-Tanzania, College of Education, Department of Educational Psychology and Curriculum Studies, P.O. Box 523, Dodoma, Tanzania.
This study examined lecturers' teaching competencies at universities in the attempt to improve the teaching and learning process by considering students' perspectives. Specifically, the study examined indicators of lecturers' teaching competencies in universities as well as establishing whether there is a relationship between students' perceived lecturers' teaching competencies and students' demographic parameters. The study used a cross-sectional survey design to generate data from 422 undergraduate students from three public universities in Tanzania using a questionnaire.
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