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Swimming exercise improves short‐ and long‐term memories: Time‐course changes
Published 2021“…However, the memory enhancement profile following the time-course of exercise training remains unknown. …”
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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
Published 2023Get full text
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An empirical evaluation of the technology cycle time indicator as ameasure of the pace of technological progress in superconductortechnology
Published 1999“…This study found the trend in TCT changed abruptly from gradually increasing (slowing in cycle time) to steadily decreasing (speeding up in cycle time) following the discovery of high-temperature superconductors. …”
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Capacity allocation for voice over IP networks using maximum waiting time models
Published 2004“…In this work, a new capacity allocation method based on the maximum waiting time model is explored. It is established from the following concept: by providing statistical quality guarantees to those packets that experience the maximum waiting time among all packets of the active voice connections, all other packets are implicitly protected from excess delay and, thus, from service degradation. …”
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Get full text
Get full text
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Bulk passivation of perovskite films utilizing halide anion ionic liquids
Published 2023“…The decay of charge carriers within the perovskite film before and after passivation with ILs was measured by Time Resolved Photoluminescence Spectroscopy (TRPL). …”
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)
Published 2000“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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masterThesis -
27
Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Published 2023“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Get full text
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Published 2023“…Deep RL is utilized to model the EV chargers and the EV users. …”
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FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
Published 2024“…To avoid the constant adjustment of hyperparameters, the FLACON employs an inductive transfer learning approach for hyperparameter tuning of the pre-trained model, markedly decreasing training time. Extensive experiments on datasets from the IEEE 39-bus system and the IEEE 68-bus system demonstrate FLACON's exceptional accuracy of 98.98% compared to some competitive alternatives.…”
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Driving against the clock: Investigating the impacts of time pressure on taxi and non-professional drivers’ safety and compliance
Published 2024“…<p>Drivers often encounter time pressure, which can lead to riskier driving habits, decreased safety margins, and a higher chance of accidents. …”
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Biomolecular changes and subsequent time-dependent recovery in hippocampal tissue after experimental mild traumatic brain injury
Published 2021“…This study reports the time-dependent contextual and structural effects of TBI on hippocampal brain tissue. …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
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The Effect of Experimental Recuperative and Appetitive Post-lunch Nap Opportunities, With or Without Caffeine, on Mood and Reaction Time in Highly Trained Athletes
Published 2021“…<h3>Purpose</h3><p dir="ltr">To investigate the effects of placebo (PLA), 20 min nap opportunity (N20), 5mg·kg<sup>−1</sup> of caffeine (CAF), and their combination (CAF+N20) on sleepiness, mood and reaction-time after partial sleep deprivation (PSD; 04h30 of time in bed; <i>study 1</i>) or after normal sleep night (NSN; 08h30 of time in bed; <i>study 2</i>).…”
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Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment
Published 2020“…The proposed technique learns the intensity of service invocations and behavior of end devices at different locations over time for predicting the localization plan. Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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A 28 nm CMOS 10 bit 100 MS/s Asynchronous SAR ADC with Low-Power Switching Procedure and Timing-Protection Scheme
Published 2021“…A single-side-fixed technique is utilized to reduce the number of capacitors; a parallel split capacitor array in combination with a partially thermometer coded technique can minimize the switching energy, improve speed, and decrease differential non-linearity (DNL). In addition, a compact timing-protection scheme is proposed to ensure the stability of the asynchronous SAR ADC. …”
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