Results 231 to 240 of about 5,495,109 (374)

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang   +11 more
wiley   +1 more source

A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This article develops a novel feedback structure for machine learning‐based anomaly forecasting, by which both forecasting the future states and detecting the anomalies in these states can be achieved at the same time. The algorithm is shown to be applicable to power systems, verifying its effectiveness in detecting potential faults before they occur ...
Hyung Tae Choi   +3 more
wiley   +1 more source

Massively parallel computation of globally optimal shortest paths with curvature penalization

open access: yesConcurrency and Computation: Practice and Experience, Volume 35, Issue 2, 25 January 2023., 2023
Abstract We address the computation of paths globally minimizing an energy involving their curvature, with given endpoints and tangents at these endpoints, according to models known as the Reeds‐Shepp car (reversible and forward variants), the Euler‐Mumford elasticae, and the Dubins car. For that purpose, we numerically solve degenerate variants of the
Jean‐Marie Mirebeau   +4 more
wiley   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

Grass functional traits reflect the long history of fire and grazers in the savannas of Texas

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Understanding relationships among grass traits, fire, and herbivores may help improve conservation strategies for savannas that are threatened by novel disturbance regimes. Emerging theory, developed in Africa, emphasizes that functional traits of savanna grasses reflect the distinct ways that fire and grazers consume biomass ...
Ashish N. Nerlekar   +2 more
wiley   +1 more source

Spin-controlled topological phase transition in non-Euclidean space. [PDF]

open access: yesFront Optoelectron
Du Z, Gao J, Yan Q, Lu C, Hu X, Gong Q.
europepmc   +1 more source

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