Results 51 to 60 of about 5,348 (187)

Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

Remote Sensing, 2019
The increasing volume of remote sensing data with improved spatial and temporal resolutions generates unique opportunities for monitoring and mapping of crops.
Ovidiu Csillik, Mariana Belgiu, Gregory P. Asner, Maggi Kelly   +3 more
doaj   +1 more source

Characterization of groundwater variability using hydrological, geological, and climatic factors in data-scarce tropical savanna region of India

Journal of Hydrology: Regional Studies, 2021
Study Region: State of Odisha, a data-scarce tropical savanna region in eastern India. Study Focus: This study evaluated the temporal variability in depth to groundwater (DTW) in the study region with heavily stressed aquifers during 1995–2015 using the ...
Suraj Jena, Rabindra Kumar Panda, Meenu Ramadas, Binayak P. Mohanty, Alok Kumar Samantaray, Susanta Kishore Pattanaik   +5 more
doaj   +1 more source

Predicting Groundwater Hydrochemical Facies in Three Dimensions with Random Forest Classification, USA

Groundwater, EarlyView.
Random forest classification predictions of groundwater hydrochemical facies (HCFs) can be used for multiple purposes, including the mapping of salinity and other groundwater characteristics. Shown on the figure are predictions of HCFs at the water table across the conterminous United States.
Paul E. Stackelberg, Katherine J. Knierim, Kenneth Belitz, Charles A. Cravotta III, R. Blaine McCleskey, Courtney D. Killian   +5 more
wiley   +1 more source

A Performance Evaluation of HMM and DTW for Gesture Recognition [PDF]

, 2012
It is unclear whether Hidden Markov Models (HMMs) or Dynamic Time Warping (DTW) techniques are more appropriate for gesture recognition. In this paper, we compare both methods using different criteria, with the objective of determining the one with better performance. For this purpose we have created a set of recorded gestures.
Josep Maria Carmona, Joan Climent
openaire   +1 more source

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, EarlyView.
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, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source

A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes

The Journal of Physiology, EarlyView.
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner, Fabio Frangiamore, Frédéric Sonak, Josef Madl, Thomas Seidel, Peter Kohl, Eva A. Rog‐Zielinska   +6 more
wiley   +1 more source

Using dynamic time warping self-organizing maps to characterize diurnal patterns in environmental exposures

Scientific Reports, 2021
Advances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures and their potential health impacts by moving beyond simple summary statistics (e.g., means, maxima) to ...
Kenan Li, Katherine Sward, Huiyu Deng, John Morrison, Rima Habre, Meredith Franklin, Yao-Yi Chiang, Jose Luis Ambite, John P. Wilson, Sandrah P. Eckel   +9 more
doaj   +1 more source

Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone

Meteorological Applications, Volume 33, Issue 4, July/August 2026.
This work proposes a flexible verification framework to assess wind power ramp forecasts more comprehensively than standard metrics. Applied to the Belgian Offshore Zone, it demonstrates the effectiveness of Wind‐Farm‐Parameterization and machine learning models and indicates a strong link between severe precipitation and predictable ramp events ...
Ruoke Meng, Geert Smet, Dieter Van den Bleeken, Aaron Van Poecke, Hossein Tabari, Peter Hellinckx, Piet Termonia, Joris Van den Bergh   +7 more
wiley   +1 more source

GNSS Zenith Wet Delay as a Boundary Layer Diagnostic: Regime‐Dependent Turbulence Signatures From Large Eddy Simulation and Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract Global Navigation Satellite Systems (GNSS) provide continuous measurements of zenith wet delay (ZWD), reflecting column‐integrated atmospheric water vapor. While the slowly varying ZWD is routinely assimilated in numerical weather prediction, the rapid fluctuations on timescales of seconds to minutes that arise from boundary‐layer turbulence ...
Gaël Kermarrec, Tim Schrader, Xavier Calbet, Zhiguo Deng   +3 more
wiley   +1 more source

2D Copper MOF Membranes with Precise Pores for Ionic Memory

Advanced Science, Volume 13, Issue 31, 4 June 2026.
 . 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