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Application of data twinning based on deep time series model in smart city traffic flow prediction
Published 2025-05-01Get full text
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IVAG: An Integrative Visualization Application for Various Types of Genomic Data Based on R-Shiny and the Docker Platform
Published 2017-12-01“…However, downstream analyses, such as finding differentially expressed genes or visualizing linkage disequilibrium maps and genome-wide association study (GWAS) data, still remain a challenge. Here, we introduce a dockerized web application written in R using the Shiny platform to visualize pre-analyzed RNA sequencing and GWAS data. …”
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Application of 3D point cloud and visual-inertial data fusion in Robot dog autonomous navigation.
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Data-Driven Learning Models for Internet of Things Security: Emerging Trends, Applications, Challenges and Future Directions
Published 2025-04-01“…Thus, effective methodologies for the prompt identification, detection, and mitigation of these menaces are priorities for stakeholders. Recently, data-driven artificial intelligence (AI) models have been considered effective in numerous applications. …”
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Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications
Published 2024-01-01“…<italic>Goal:</italic> To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. …”
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A discrete extension of the Lindley distribution for health and sustainability data: Theoretical insights and decision-making applications
Published 2025-03-01“…Integrating SDG 3 (Good Health and Well-Being) with an innovative discrete probability model for lifetime data provides a comprehensive approach to achieving sustainable health outcomes and analyzing lifetime data within sustainability frameworks. …”
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Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges
Published 2018-01-01“…As the information carriers of wireless transmission data, radio signals exhibit the characteristics of big data in terms of volume, variety, value, and velocity. …”
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