-
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
منشور في 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.…"
-
102
-
103
Cardiac phosphodiesterases are differentially increased in diabetic cardiomyopathy
منشور في 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.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
104
-
105
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
منشور في 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. …"
-
106
A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays
منشور في 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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
107
-
108
-
109
-
110
-
111
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation
منشور في 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. …"
-
112
Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market
منشور في 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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
113
The Role of Project Management Soft Skills in Increasing Project Success
منشور في 2017"…As the world economy shifts towards an increasingly globalised market, the degree of competition becomes a more significant challenge which organisations face. …"
احصل على النص الكامل
-
114
Towards electric digital twin grid: Technology and framework review
منشور في 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. …"
-
115
-
116
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
منشور في 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. …"
-
117
-
118
-
119
Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
منشور في 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. …"
-
120
Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
منشور في 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. …"