Showing 101 - 120 results of 1,457 for search '(( greater decrease ) OR ((( (times OR (time OR timeds)) increase ) OR ( peer decrease ))))*', query time: 0.16s Refine Results
  1. 101

    Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis by Karim Hader (2548618)

    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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  3. 103

    Cardiac phosphodiesterases are differentially increased in diabetic cardiomyopathy by Hanna, Rita

    Published 2021
    “…Significance We show for the first time differential and time-specific regulations in cardiac PDEs, data that may prove useful in proposing new therapeutic approaches in T1D-induced DCM.…”
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  4. 104
  5. 105

    Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction by Yassine Himeur (14158821)

    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. …”
  6. 106

    A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays by Diab, Nuwar Mawlawi

    Published 2016
    “…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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    Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

    Published 2024
    “…However, in practice, a patient’s visits are irregularly spaced over a relatively long period of time, and disease progression patterns exhibit non-stationarity. …”
  12. 112

    Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market by M., Imran Azim

    Published 2023
    “…This paper presents a peer-to-peer (P2P) trading-enabled local energy market (LEM) mechanism and analyses it in the Australian market context to verify its feasibility. …”
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  13. 113

    The Role of Project Management Soft Skills in Increasing Project Success by AL AWABDEH, JOYCE YOUSEF

    Published 2017
    “…Thus, project success is explored as the second variable which is a measure of several interactive criteria that supersede the traditional view of the iron triangle of time, cost, and quality as a single assessment tool. …”
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  14. 114

    Towards electric digital twin grid: Technology and framework review by Md. Mhamud Hussen Sifat (17337913)

    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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    Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

    Published 2019
    “…In this article, we investigate the problem of missing data or noisy information in the context of real-time monitoring and forecasting of traffic congestion for road networks in a city. …”
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    Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

    Published 2024
    “…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
  20. 120

    Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

    Published 2024
    “…In this context, Deep Reinforcement Learning (DRL) emerges as a technological advancement that improves the healthcare by enabling smart, adaptive, and real-time decision-making processes. Existing DRL applications in resource allocation, however, face significant challenges. …”