Results 121 to 130 of about 12,089 (236)
Abstract The Humboldt River, in Northern Nevada, USA, is a source of water for agricultural, municipal, and industrial uses. Mining has been active in Nevada since the 1800s. The recognition that groundwater withdrawal for many purposes—including mining—has the potential to deplete streamflow has prompted studies of the Humboldt River Basin.
Matthew Tonkin +2 more
wiley +1 more source
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
VISUALISASI PENGENALAN UCAPAN VOKAL BAHASA INDONESIA DENGAN METODE LPC-DTW [PDF]
Usaha manusia untuk memaksimalkan fungsi PC sebagai alat untuk mempermudah pekerjaan manusia terus dikembangkan. Salah satunya menciptakan PC yang mampu berinteraksi secara langsung dengan manusia melalui ucapan, menggantikan fungsi keyboard dan mouse ...
Hidayatno, Achmad +2 more
core
Efficient Word Image Retrieval using Fast DTW Distance
—Dynamic time warping (DTW) is a popular distance measure used for recognition free document image retrieval. How-ever, it has quadratic complexity and hence is computationally expensive for large scale word image retrieval.
G. Nagendar, C.V. Jawahar, C. V. Jawahar
core +1 more source
Association of oral frailty and gait characteristics in patients with cerebral small vessel disease
Background The objectives of this study were twofold: (1) to compare gait characteristics between cerebral small vessel disease (CSVD) patients with low-risk oral frailty (OF) and high-risk OF, particularly during dual-task walking (DTW); (2) to ...
Hong-yang Xie +6 more
doaj +1 more source
Dynamic Time Warping (DTW) is an emerging analytic technique that offers a flexible approach to modeling symptom dynamics in psychological and psychiatric research.
Maren C. G. Kopland, Erik J. Giltay
doaj +1 more source
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
International audienceThis paper introduces k-Dynamic Time Warping (k-DTW), a novel dissimilarity measure for polygonal curves. k-DTW has stronger metric properties than Dynamic Time Warping (DTW) and is more robust to outliers than the Fréchet distance,
Schwiegelshohn, Chris +3 more
core +4 more sources
Application of the DTW-N Method for Analyzing Similarity Between EEG Signals
Although Euclidean Distance (ED) has limitations in fully capturing the inherent similarity between sig- nals, it has demonstrated higher accuracy in personal identification than Dynamic Time Warping (DTW) when applied in Electroencephalogram (EEG ...
서현 +5 more
core +1 more source
A Unified Perspective on CTC and Soft-DTW Using Differentiable DTW
Johannes Zeitler, Meinard Müller
openaire +1 more source
Time series retrieval using DTW-preserving shapelets
Establishing the similarity of time series is at the core of many data mining tasks such as time series classification, time series clustering, time series retrieval, among others. Metrics to establish similarities between time series are specific in the
Sperandio, Ricardo Carlini
core

