Results 111 to 120 of about 24,206 (303)

Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves

open access: yesAdvanced Intelligent Systems, EarlyView.
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu   +2 more
wiley   +1 more source

The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups

open access: yesCancer Imaging, 2019
Background Manual delineation of volume of interest (VOI) is widely used in current radiomics analysis, suffering from high variability. The tolerance of delineation differences and possible influence on each step of radiomics analysis are not clear ...
Xiao Zhang   +8 more
doaj   +1 more source

A note on the Bandwidth choice when the null hypothesis is semiparametric [PDF]

open access: yes
This work presents a tool for the additivity test. The additive model is widely used for parametric and semiparametric modeling of economic data. The additivity hypothesis is of interest because it is easy to interpret and produces reasonably fast ...
Jorge Barrientos Marín
core  

Cumulative Antigen Suppression Reduces Clonal Plasma Cell Evolution in Gaucher Disease

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT Chronic antigenic stimulation is implicated in the pathogenesis of monoclonal gammopathy and multiple myeloma, yet longitudinal human evidence linking sustained antigen exposure to modifiable clonal plasma cell evolution remains limited. Gaucher disease (GD), caused by biallelic GBA1 pathogenic variants, is characterized by accumulation of ...
Noor Ul Ain   +10 more
wiley   +1 more source

Nonparametric confidence bands in deconvolution density estimation [PDF]

open access: yes
Uniform confidence bands for densities f via nonparametric kernel estimates were first constructed by Bickel and Rosenblatt [Ann. Statist. 1, 1071.1095].
Bissantz, Nicolai   +3 more
core  

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

open access: yesAmerican Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan   +10 more
wiley   +1 more source

On bootstrap sample size in extreme value theory [PDF]

open access: yes
It has been known for a long time that for bootstrapping theprobability distribution of the maximum of a sample consistently,the bootstrap sample size needs to be of smaller order than theoriginal sample size. See Jun Shao and Dongsheng Tu (1995), Ex.3.9,
Geluk, J.L., Haan, L.F.M. de
core   +1 more source

Daily‐Life, Sensor‐Derived Tremor Measures Are Sensitive to Progression in Early Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Sensitive outcome measures are critical for evaluating the efficacy of novel treatments for Parkinson's disease (PD). In this study, we assess the sensitivity to change of sensor‐derived daily‐life tremor measures over 2 years in unmedicated and medicated persons with early PD.
Nienke A. Timmermans   +10 more
wiley   +1 more source

Holographic correlators from multi-mode AdS5 bubbling geometries

open access: yesJournal of High Energy Physics
Supergravity calculations of holographic four-point correlation functions are a powerful tool for deriving dynamical information about the dual field theory at strong coupling. Recently, a number of such computations have been performed by studying light
David Turton, Alexander Tyukov
doaj   +1 more source

DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS [PDF]

open access: yes
We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Emmanuel Guerre, Pascal Lavergne
core  

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