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From classrooms to controllers: how school closures shaped children's video gaming habits
Published 2024“…Average weekly screen time increased significantly from 19.7 ± 10.1 h to 31.9 ± 12.6 h during closure (<i>p</i> < 0.001). …”
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122
Impact of Exclusive Bus Lanes on Traffic Performance in Urban Areas
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Behavioral Modeling of RF Power Amplifiers Using Reduced Sampling Rate
Published 2018Get full text
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124
GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
Published 2023“…<p>Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …”
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125
Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis
Published 2019“…For every 100-m run above 5.5 m·s<sup>−1</sup>, CK activity measured 24 h post-match increased by 30% and CMJPPO decreased by 0.5%. Conversely, the total distance covered did not present any evidence of a clear relationship with any fatigue-related marker at any time-point.…”
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Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
Published 2020“…This paper presents an efficient non-intrusive load monitoring framework that consists of the following main components: (i) a novel fusion of multiple time-domain features is proposed to extract appliance fingerprints; (ii) a dimensionality reduction scheme is introduced to be applied to the fused time-domain features, which relies on fuzzy-neighbors preserving analysis based QR-decomposition. …”
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127
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
Published 2025“…Most improved RF versions modify attribute selection processes or combine them with other machine learning algorithms, increasing their complexity. Identifying an appropriate training dataset and determining its size remain open questions. …”
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Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation
Published 2024“…<p dir="ltr">Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. …”
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130
Towards electric digital twin grid: Technology and framework review
Published 2023“…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …”
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131
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
Published 2019“…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …”
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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
Published 2024“…<p dir="ltr">The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms
Published 2025“…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”
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134
Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities
Published 2022“…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”
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Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
Published 2024“…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …”
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SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations
Published 2025“…<p dir="ltr">The growing integration of distributed energy resources and increased interconnectivity in cyber-physical power systems (CPPSs) have heightened their complexity. …”
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Published 2024“…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …”
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138
Is board compensation excessive?
Published 2017“…For companies that overpay, the average excess compensation is greater than $60,000 per director, while directors that are underpaid receive about $33,000 less than predicted. …”
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139
"Development of Authentic Annual and Seasonal Lightning Thunderstorms Day Maps for Saudi Arabia"
Published 2006“…Annual thunderstorms are most frequent over the southwestern parts of the country, and generally decrease towards the west and east. Due to its low latitude and less temporal change, the west coast of the Red Sea recorded the lowest Td/yr. …”
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"Thunderstorm distribution and frequency in Saudi Arabia"
Published 2005“…Annual thunderstorms are most frequent over the southwestern parts of the country, and generally decrease towards the west and east. Due to its low latitude and less temporal change, the west coast of the Red Sea recorded the lowest Td/yr. …”
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