Results 81 to 90 of about 15,984 (207)

Fast Constrained Dynamic Time Warping for Similarity Measure of Time Series Data

open access: yesIEEE Access, 2020
In this paper, we propose an efficient algorithm for reducing the computational complexity of dynamic time warping (DTW) for obtaining similarity measures between time series.
Wonyoung Choi   +3 more
doaj   +1 more source

Oxygen‐Regulated GaN‐Based Sensors Fabricated by MOCVD for Switchable Gas Detection: Exhaled Gas Smart Platform for Non‐Invasive Disease Detection

open access: yesAdvanced Science, Volume 13, Issue 7, 3 February 2026.
This work presents highly consistent GaN‐based thin‐film gas sensors prepared by MOCVD for non‐invasive breath analysis. The sensors exhibit tunable selectivity from oxidizing to reducing gases by incorporating In composition, ultra‐low detection limits and humidity resistance.
Yuxuan Wang   +9 more
wiley   +1 more source

Head Gesture Recognition Combining Activity Detection and Dynamic Time Warping

open access: yesJournal of Imaging
The recognition of head movements plays an important role in human–computer interface domains. The data collected with image sensors or inertial measurement unit (IMU) sensors are often used for identifying these types of actions.
Huaizhou Li, Haiyan Hu
semanticscholar   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 2, February 2026.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

AdaPDTW: An Efficient Abstract-Adaptive Piecewise Dynamic Time Warping for Time Series Classification

open access: yesIEEE Access
Dynamic Time Warping (DTW) offers precise similarity measure but suffers from high computational cost. To address this issue, we propose an abstract-adaptive PAR-DTW, which computes DTW in a low-dimensional piecewise abstract representation (PAR) space ...
Qinglin Cai   +3 more
doaj   +1 more source

Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China

open access: yesEURASIP Journal on Image and Video Processing, 2018
Time series remote sensing image is an important resource for dynamic monitoring of resources and environment, and its abundant time spectrum information can be used to characterize the dynamic change of vegetation coverage.
Jiaxing Xu   +4 more
doaj   +1 more source

Machine Learning‐Driven Nanopore Sensing for Quantitative, Label‐Free miRNA Detection

open access: yesSmall Methods, Volume 10, Issue 4, 23 February 2026.
Nanopore sensors combined with DNA‐barcoded probes enable detection of multiple biomarkers in parallel at the single‐molecule level through characteristic delays in ionic current signals. Three analytical strategies are compared: moving standard deviation, spectral entropy, and a convolutional neural network (CNN). The CNN achieves superior sensitivity
Caroline Koch   +10 more
wiley   +1 more source

Design of Speaker Verification using Dynamic Time Warping (DTW) on Graphical Programming for Authentication Process

open access: yesJournal of Information Technology and Computer Science, 2017
Authentication is generally required on systems which need safety and privacy. In common, typed username and password are used and applied in authentication system. However, this type of authentication has been identified to have many weaknesses.
Barlian Henryranu Prasetio   +1 more
openaire   +3 more sources

Piecewise Dynamic Time Warping-Based Subsequence Matching in Data Stream

open access: yesIEEE Access
Dynamic Time Warping (DTW) is effective for subsequence matching but is limited by its high computational cost. To address this challenge, we propose a method that adaptively segments data streams and extracts Chebyshev features for piecewise ...
Qinglin Cai   +3 more
doaj   +1 more source

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