Results 111 to 120 of about 1,143,126 (364)

Exploring the spatiotemporal heterogeneity in the relationship between\n human mobility and COVID-19 prevalence using dynamic time warping [PDF]

, 2021
Hoeyun Kwon, Kaitlyn Hom, Mark Rifkin, Beichen Tian, Caglar Koylu   +4 more
openalex   +1 more source

Probing Ultrafast Coherent Bandgap Modulation in Monolayer WSe2 by Nonlinear Optics

Advanced Optical Materials, EarlyView.
This work sheds light on how resonant nonlinear optics blursthe line between perturbative and non‐perturbative nonlinear optics. Measured deviationsfrom the quadratic second‐harmonic scaling near the excitonic resonance arisefrom optical Stark and Bloch‐Siegert shifts. The experimental results arefurther underpinned by analytical and numerical analysis
Sebastian Klimmer, Thomas Lettau, Laura Valencia Molina, Daniil Kartashov, Ulf Peschel, Jan Wilhelm, Dragomir Neshev, Giancarlo Soavi   +7 more
wiley   +1 more source

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

IEEE 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, Leiying Chen, Jian Shao, Ling Chen   +3 more
doaj   +1 more source

Similarity Measurement of Biological Signals Using Dynamic Time Warping Algorithm

Proceedings of the International Conference on Applied Innovations in IT, 2016
The problem of similarity measurement of biological signals is considered on this article. The dynamic time warping algorithm is used as a possible solution. A short overview of this algorithm and its modifications are given.
Ivan Luzianin, Bernd Krause
doaj   +1 more source

Evaluation of Paleocene‐Eocene Thermal Maximum Carbon Isotope Record Completeness—An Illustration of the Potential of Dynamic Time Warping in Aligning Paleo‐Proxy Records

Geochemistry, Geophysics, Geosystems, 2020
Variations in sedimentation rate, bioturbation, winnowing, and dissolution modify the deep‐sea sedimentary record, complicating the apparent relationship between stratigraphic depth and time of a geochemical proxy record and confounding the extraction of
Seyi Ajayi, Lee R. Kump, Andy Ridgwell, Sandra Kirtland Turner, Carling C. Hay, Timothy J. Bralower   +5 more
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Deep Learning for Daily Peak Load Forecasting–A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping

IEEE Access, 2019
Daily peak load forecasting is an essential tool for decision making in power system operation and planning. However, the daily peak load is a nonlinear, nonstationary, and volatile time series, which makes it difficult to be forecasted accurately.
Zeyuan Yu, Z. Niu, Wenhu Tang, Qinghua Wu   +3 more
semanticscholar   +1 more source

Binary Dynamic Time Warping in Linear Time

, 2021
Dynamic time warping distance (DTW) is a widely used distance measure between time series $x, y \in ^n$. It was shown by Abboud, Backurs, and Williams that in the \emph{binary case}, where $| | = 2$, DTW can be computed in time $O(n^{1.87})$. We improve this running time $O(n)$.
openaire   +2 more sources