Results 221 to 230 of about 238,739 (317)

Real-Time Computing Impacts

Two joint publications on the use of real-time computing concepts and technology in order to take nearly run-time proactive or corrective actions to improve process performance or mitigate compliance risks.
openaire   +1 more source

Characteristics of Cerebral Palsy in the Midwestern US

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebral palsy (CP) is the most common lifelong motor disability worldwide. Yet, data is limited on how CP manifests in the US. Our objective was to characterize and determine factors affecting functional outcomes in a large population of young people with CP in the Midwestern US.
Susie Kim, Kelsey Steffen, Lauren Gottschalk‐Henneberry, Jennifer Miros, Amy Robichaux‐Viehoever, Karen Taca, Bhooma R. Aravamuthan   +6 more
wiley   +1 more source

Task Offloading and Resource Allocation for ICVs in Vehicular Edge Computing Networks Based on Hybrid Hierarchical Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Liu J, Zou Y, Du G, Zhang X, Wu J.
europepmc   +1 more source

Embedded Intelligence for Autonomous Robotics Decision-Making: A Framework for Real-Time Edge Computing in Industrial Applications

R. Nayak
openalex   +2 more sources

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham, Sahana Sathyanarayana, Charlotte B. Stewart, Robyn Iredale, Victoria Foster, Debra Galley, Mark Baker, Nicola Pavese   +7 more
wiley   +1 more source

Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]

Sci Rep
Zhang W, Ou H.
europepmc   +1 more source

Altered Dynamic Functional Network Connectivity in Post‐Stroke Aphasia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous studies examining post‐stroke aphasia (PSA) patients via resting‐state functional magnetic resonance imaging (rs‐fMRI) have predominantly focused on static functional connectivity. In contrast, the current investigation aims to elucidate the alterations in dynamic functional network connectivity (dFNC) among PSA patients ...
Guihua Xu, Yongsheng Wu, Junyu Qu, Rui Zhu, Wenwen Xu, Jiaxiang Xin, Dawei Wang   +6 more
wiley   +1 more source

Edge-Computing Smart Irrigation Controller Using LoRaWAN and LSTM for Predictive Controlled Deficit Irrigation. [PDF]

Sensors (Basel)
Baseca CC, Dionísio R, Ribeiro F, Metrôlho J.   +3 more
europepmc   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source

Real time urban traffic prediction using RFID and a hybrid LSTM random forest model. [PDF]

Sci Rep
Khattab O, Saravana Balaji B, Alghadhoori F, AlMazyad F, AlDousari M, Al-Ameeri A, Al-Kadri MO.   +6 more
europepmc   +1 more source