Results 101 to 110 of about 136,974 (275)

Asynchronous and corrected-asynchronous numerical solutions of parabolic PDES on MIMD multiprocessors [PDF]

open access: yes
A major problem in achieving significant speed-up on parallel machines is the overhead involved with synchronizing the concurrent process. Removing the synchronization constraint has the potential of speeding up the computation.
Amitai, Dganit   +3 more
core   +1 more source

Spectral entropy variability of intraoperative electrocorticography predicts outcome after epilepsy surgery in people with focal cortical dysplasia

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is difficult to predict. We explored whether spectral entropy, a fast computable electroencephalographic (EEG) feature, could estimate epileptic activity in intraoperative electrocorticography (ioECoG) and
Eline V. Schaft   +53 more
wiley   +1 more source

Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends

open access: yesIEEE Access, 2019
Stochastic gradient descent(SGD) is the fundamental sequential method in training large scale machine learning models. To accelerate the training process, researchers proposed to use the asynchronous stochastic gradient descent (A-SGD) method in model ...
Guoxin Cui   +4 more
doaj   +1 more source

Inroads into epilepsy through high‐frequency oscillations: Achievements and benchmark areas for improvement

open access: yesEpilepsia, EarlyView.
Abstract High‐frequency oscillations (HFOs) were discovered more than 20 years ago, and since then they have been studied intensively in the context of epilepsy. HFOs encompass a broad spectrum of oscillations, typically ranging from 80 Hz to several kHz, that include both normal and pathological oscillations, documented in people with epilepsy and ...
Christos Panagiotis Lisgaras   +6 more
wiley   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

open access: yesEnergy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga   +6 more
wiley   +1 more source

Reflective Pathways: Integrating Empathy Into the STEM Student Experiences

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal   +3 more
wiley   +1 more source

A Large‐Area, Stretchable Accelerometer Array for Spatial Assessment of Chest Compressions in Cardiopulmonary Resuscitation

open access: yesFlexTech, EarlyView.
A large‐area stretchable accelerometer array enables multi‐point monitoring of chest compression depth and thoracic contour reconstruction during CPR, offering high spatiotemporal resolution for dynamic deformation tracking and providing a new pathway toward intelligent, feedback‐based resuscitation systems. ABSTRACT High‐quality chest compressions are
Tianrun Xu   +5 more
wiley   +1 more source

ZONES OF STEADY CAPACITOR EXCITATION IN A MODE OF GENERATION OF TYPICAL ASYNCHRONOUS MACHINES

open access: yesProblems of the Regional Energetics, 2009
In work some features of a mode of capacitor excitation of industrial asynchronous electric motors, and also generators made on their base which can be used in wind installations of low power are considered.
Postoronca Sv.   +4 more
doaj  

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn   +2 more
wiley   +1 more source

Outil de prédimensionnement de machines asynchrones [PDF]

open access: yes, 2022
Le travail consiste à caractériser une machine asynchrone et de comparer ces éléments avec les résultats de différentes méthodes de dimensionnement. Le travail sera conclu par la réalisation d’un moteur linéaire à double inducteurs (DLIM).
Baechler, Edouard, Chevailler, Samuel
openaire  

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