Results 21 to 30 of about 12,089 (236)

ADHD Prediction via Time Series Ensemble fed Driving Simulator Data

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
In this paper, we identify the on-road scenarios within a simulated driving environment where a group of clinical trial participants (n= 30) with and without Attention Deficit Hyper-activity Disorder (ADHD) drive perceivably different fromone another. We
David Grethlein   +2 more
doaj   +1 more source

keonlee9420/Soft-DTW-Loss: First Release

open access: yes, 2021
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in ...
Keon Lee
core   +1 more source

Spatiotemporal gait characteristics during single- and dual-task walking are associated with the burden of cerebral small vessel disease

open access: yesFrontiers in Neurology, 2023
IntroductionGait impairment is a common symptom among individuals with cerebral small vessel disease (CSVD). However, performance differences between single-task walking (STW) and dual-task walking (DTW) among individuals with CSVD remain unclear ...
Cuiqiao Xia   +6 more
doaj   +1 more source

Affine Shape Comparison using Different Distances

open access: yesJOIV: International Journal on Informatics Visualization, 2020
In this work, we propose to compare affine shape using Hausdorff distance (HD), Dynamic Time Warping (DTW), Frechet (DF), and Earth Mover distance (EMD).
Khalid Aznag   +3 more
doaj   +1 more source

Discovery of Meaningful Rules by using DTW based on Cubic Spline Interpolation

open access: yesTecnología en Marcha, 2020
The ability to make short or long term predictions is at the heart of much of science. In the last decade, the data science community have been highly interested in foretelling real life events, using data mining techniques to discover meaningful rules ...
Luis Alexander Calvo-Valverde   +1 more
doaj   +1 more source

Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization

open access: yesIEEE Access, 2021
Dynamic Time Warping (DTW) is a widely used distance measurement in time series clustering. DTW distance is invariant to time series phase perturbations but has a quadratic complexity.
Borui Cai   +4 more
doaj   +1 more source

Latency as a Region Contrast: Measuring ERP Latency Differences with Dynamic Time Warping [PDF]

open access: yes, 2015
Methods for measuring onset latency contrasts are evaluated against a new method utilizing the dynamic time warping (DTW) algorithm. This new method allows latency to be measured across a region instead of single point.
A. Alsufyani   +19 more
core   +1 more source

Effect of Using Different Levels of Dried Taro (Colocasia esculanta) Waste without or with Dried Yeast (Saccharomyces cerevisiae) on Growth Performance of Growing Lambs. [PDF]

open access: yesJournal of Animal and Poultry Production, 2017
This study was conducted to investigate the effect of inclusion dried taro waste (DTW) without or with dried yeast (DY) in sheep rations on digestibility, rumen fermentation activity, blood parameters and growth performance of Ossimi lambs.
O. Abdel-Salam   +4 more
doaj   +1 more source

Fault diagnosis of motor drives using stator current signal analysis based on dynamic time warping [PDF]

open access: yes, 2013
Electrical motor stator current signals have been widely used to monitor the condition of induction machines and their downstream mechanical equipment. The key technique used for current signal analysis is based on Fourier transform (FT) to extract weak ...
Gu, Fengshou   +6 more
core   +1 more source

Automatically Assess Day Similarity Using Visual Lifelogs

open access: yesJournal of Intelligent Systems, 2018
Today, we witness the appearance of many lifelogging cameras that are able to capture the life of a person wearing the camera and which produce a large number of images everyday.
Asnaoui Khalid El, Radeva Petia
doaj   +1 more source

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