Results 91 to 100 of about 199,155 (292)

Kernel random forest with black hole optimization for heart diseases prediction using data fusion [PDF]

open access: yesPeerJ Computer Science
In recent years, the Internet of Things has played a dominant role in various real-time problems and given solutions via sensor signals. Monitoring the patient health status of Internet of Medical Things (IoMT) facilitates communication between wearable ...
Ala Saleh Alluhaidan   +5 more
doaj   +2 more sources

An Asynchronous Data Fusion Algorithm for Target Detection Based on Multi-Sensor Networks

open access: yesIEEE Access, 2020
The time interval of the observational data changes irregularly because of the difference of sensors’ sampling rate, the communication delay and the target leaving observation region of the sensor sometimes.
Ke Zhang   +4 more
doaj   +1 more source

Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung   +190 more
wiley   +1 more source

Spatial Aspects of Multi-Sensor Data Fusion: Aerosol Optical Thickness [PDF]

open access: yes, 2007
The Goddard Earth Sciences Data and Information Services Center (GES DISC) investigated the applicability and limitations of combining multi-sensor data through data fusion, to increase the usefulness of the multitude of NASA remote sensing data sets ...
Gopalan, A.   +2 more
core   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel   +5 more
wiley   +1 more source

Cutaneous Phosphorylated Alpha‐Synuclein in Lewy Body Dementia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the test performance of cutaneous phosphorylated alpha‐synuclein (P‐SYN) in dementia with Lewy bodies (DLB), individuals with reduced Montreal Cognitive Assessment (MoCA) and healthy controls. Methods This is the first subgroup analysis of the Synuclein‐One study, a prospective, blinded study evaluating P‐SYN detection ...
Christopher H. Gibbons   +31 more
wiley   +1 more source

Collaborative information sensemaking for multi-robot search and rescue [PDF]

open access: yes, 2015
In this paper, we consider novel information sensemaking methods for search and rescue operations that combine principles of information fusion and collective intelligence in scalable solutions.
Lee, PJ, Lewis, M, Zadorozhny, V
core   +1 more source

Optimal multisensor data fusion for linear systems with missing measurements

open access: yes, 2008
Multisensor data fusion has attracted a lot of research in recent years. It has been widely used in many applications especially military applications for target tracking and identification.
Mohamed, Shady M., Nahavandi, Saeid
core   +1 more source

Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas   +39 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

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