Network structure of time‐varying depressive symptoms through dynamic time warp analysis in late‐life depression
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geriatric Psychiatry"
DOI: 10.1002/gps.5787
Abstract: Late‐life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over time in case of sparse panel data. Dynamic time… read more here.
Keywords: time; dynamic time; late life; depressive symptoms ... See more keywords
Dynamic time warping in classification and selection of motion capture data
Sign Up to like & getrecommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0611-3
Abstract: The paper is a comprehensive study on classification of motion capture data on the basis of dynamic time warping (DTW) transform. It presents both theoretical description of all applied and newly proposed methods and experimentally… read more here.
Keywords: motion capture; time warping; time; capture data ... See more keywords
Person identification using ECG signal’s symbolic representation and dynamic time warping adaptation
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1351-4
Abstract: Since electrocardiogram (ECG) is a unique physiological signal which is existing only in the live people, it has been used in the novel biometric systems to identify people and to counter forge and fraud attacks.… read more here.
Keywords: ecg signal; time warping; person; dynamic time ... See more keywords
A soft sensor modeling method with dynamic time-delay estimation and its application in wastewater treatment plant
Sign Up to like & getrecommendations! Published in 2021 at "Biochemical Engineering Journal"
DOI: 10.1016/j.bej.2021.108048
Abstract: Abstract Time-delay estimation is an important step for soft sensor modeling. In practical industrial process, the transportation time of materials and the transmission time of signals are fluctuating, and the traditional static time-delay estimation (STDE)… read more here.
Keywords: dynamic time; time; delay estimation; time delay ... See more keywords
Evaluation of robotic surgery skills using dynamic time warping
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.09.007
Abstract: BACKGROUND AND OBJECTIVE accompanied with the wide acceptance of robot assisted minimally invasive surgery (RMIS), the demand for efficient and objective surgical skills evaluation method is increased. Recently, with the development of medical engineering technology,… read more here.
Keywords: surgical skills; evaluation method; time; evaluation ... See more keywords
Fault diagnosis of rolling element bearings based on Multiscale Dynamic Time Warping
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2016.10.038
Abstract: Abstract A fault recognition method for rolling element bearings based on Multiscale Dynamic Time Warping (MDTW) is proposed in this paper. After preprocessing using Empirical Mode Decomposition (EMD), CWs are extracted from vibration signals. The… read more here.
Keywords: based multiscale; bearings based; rolling element; element bearings ... See more keywords
Spatial distribution of inter- and intra-crop variability using time-weighted dynamic time warping analysis from Sentinel-1 datasets
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2021.100630
Abstract: Abstract This study investigates the robustness of an advanced classification algorithm to spatially map heterogeneous, fragmented croplands using multi-temporal synthetic aperture radar (SAR) datasets. Four parameters derived from Sentinel-1 (backscatters in dual-polarization: σ V H… read more here.
Keywords: using time; weighted dynamic; time weighted; time ... See more keywords
A dynamic time over threshold method with fast trigger for silicon photomultiplier readout
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Instrumentation"
DOI: 10.1088/1748-0221/16/08/p08056
Abstract: In the readout of silicon photomultipliers (SiPMs), the original current signals are usually divided into different channels — fast timing channels, slow energy channels, position encoding channels, facilitating the formation of different trigger types. This… read more here.
Keywords: time threshold; method; silicon; energy ... See more keywords
Dysregulated dynamic time-varying triple-network segregation in children with autism spectrum disorder.
Sign Up to like & getrecommendations! Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhac454
Abstract: One of the remarkable characteristics of autism spectrum disorder (ASD) is the dysregulation of functional connectivity of the triple-network, which includes the salience network (SN), default mode network (DMN), and central executive network (CEN). However,… read more here.
Keywords: dynamic time; network; triple network; time varying ... See more keywords
Reconstructing gravitational wave core-collapse supernova signals with dynamic time warping
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.123012
Abstract: Core-collapse supernovae (CCSNe) are a potential source for ground-based gravitational wave detectors, as their predicted emission peaks in the detectors' frequency band. Typical searches for gravitational wave bursts reconstruct signals using wavelets. However, as CCSN… read more here.
Keywords: core collapse; time warping; gravitational wave; wave ... See more keywords
DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3209671
Abstract: Convolution helps spiking neural networks (SNNs) capture the spatio-temporal structures of neuromorphic (event) data as evident in the convolution-based SNNs (C-SNNs) with the state-of-the-art classification-accuracies on various datasets. However, the efficacy aside, the efficiency of… read more here.
Keywords: dynamic time; neural networks; time; time surfaces ... See more keywords