Results 31 to 40 of about 5,087 (166)

Novel modeling of task versus rest brain state predictability using a dynamic time warping spectrum: comparisons and contrasts with other standard measures of brain dynamics

Frontiers in Computational Neuroscience, 2016
Dynamic time warping, or DTW, is a powerful and domain-general sequence alignment method for computing a similarity measure. Such dynamic programming-based techniques like DTW are now the backbone and driver of most bioinformatics methods and discoveries.
Martin eDinov, Romy eLorenz, Gregory eScott, Erik D Fagerholm, David J Sharp, Robert eLeech   +5 more
doaj   +1 more source

2D Copper MOF Membranes with Precise Pores for Ionic Memory

Advanced Science, EarlyView.
 . ABSTRACT Biological ion channels play a critical role in the complex physiological processes of living organisms. Inspired by these natural systems, we demonstrate the fabrication of ultrathin 2D copper‐based metal‐organic framework (CuMOF) films and their application to mimic key functionalities of biological membranes. Using a liquid–air interface
Hiran Jyothilal, Raj Kumar Gogoi, Yuchen Liu, Vikas Sharma, Solleti Goutham, Michael Hutton, Rachel C. Kilbride, Daniel T.W. Toolan, Ashok Keerthi, Boya Radha   +9 more
wiley   +1 more source

Trajectory Clustering in an Intersection by GDTW

Journal of Advanced Transportation, 2022
GPS trajectory data in intersections are series data with different lengths. Dynamic time wrapping (DTW) is good to measure the similarity between series with different lengths, however, traditional DTW could not deal with the inclusive relationship well
Lei Gao, Lu Wei, Jian Yang, Jinhong Li
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Artificial Piezoelectric Interface Enables Ultrafast Interfacial Ion Kinetic for Highly‐Sensitive Piezoionic Sensors

Advanced Science, EarlyView.
This study proposes a piezoelectric interface modification strategy to amplify the piezoionic effect. The piezoelectric interface generates an intrinsic electric field, which not only drives rapid ion migration but also concentrates polarized ions on the interface. The flexible sensor delivers superior performance, such as a quick response rate, strong
Yanyu Chen, Xingyue Ling, Rizhong Gao, Xiaohong Zhang, Xi Chen, Chao Lu   +5 more
wiley   +1 more source

Harmonic and interharmonic detection based on adaptive wavelet and improved EWT

Zhejiang dianli
To address the issues of noise sensitivity and over-decomposition when decomposing harmonic signals using empirical wavelet transform （EWT）， a method based on adaptive wavelet denoising and improved EWT is proposed for detecting harmonics and ...
KONG Chuirui, CHEN Fengxian, YANG Lingrui, CHE Yukui, YANG Haixian, XIA Wei, GUO Cheng   +6 more
doaj   +1 more source

Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping

EAI Endorsed Transactions on Pervasive Health and Technology, 2016
Walking ability can be degraded by a number of pathologies, including movement disorders, stroke, and injury. Personal activity tracking devices gather inertial data needed to measure walking quality, but the required algorithmic methods are an active ...
Matthew Engelhard, Sriram Raju Dandu, John Lach, Myla Goldman, Stephen Patek   +4 more
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Efficient Query Specific DTW Distance for Document Retrieval with Unlimited Vocabulary

Journal of Imaging, 2018
In this paper, we improve the performance of the recently proposed Direct Query Classifier (dqc). The (dqc) is a classifier based retrieval method and in general, such methods have been shown to be superior to the OCR-based solutions for performing ...
Gattigorla Nagendar, Viresh Ranjan, Gaurav Harit, C. V. Jawahar   +3 more
doaj   +1 more source

EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies

Sensors, 2020
The dynamic time warping (DTW) algorithm is widely used in pattern matching and sequence alignment tasks, including speech recognition and time series clustering.
Yihang Jiang, Yuankai Qi, Will Ke Wang, Brinnae Bent, Robert Avram, Jeffrey Olgin, Jessilyn Dunn   +6 more
doaj   +1 more source