Results 21 to 30 of about 1,720,482 (294)

ASTER-Derived High-Resolution Ice Surface Temperature for the Arctic Coast

Remote Sensing, 2018
Ice surface temperature (IST) controls the rate of sea ice growth and the heat exchange between the atmosphere and ocean. In this study, high-resolution IST using the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) thermal infrared
Young-Sun Son, Hyun-cheol Kim, Sung Jae Lee   +2 more
doaj   +1 more source

Fractal Analysis and Texture Classification of High-Frequency Multiplicative Noise in SAR Sea-Ice Images Based on a Transform- Domain Image Decomposition Method

IEEE Access, 2020
Texture in synthetic aperture radar (SAR) images is a combination of the intrinsic texture of scene backscattering and the texture due to noncoherent high-frequency multiplicative noise (HMN) interactions that reflect erroneous information and lead to ...
Iman Heidarpour Shahrezaei, Hyun-Cheol Kim   +1 more
doaj   +1 more source

Robust Mosaicking of Lightweight UAV Images Using Hybrid Image Transformation Modeling

Remote Sensing, 2020
This paper proposes a robust feature-based mosaicking method that can handle images obtained by lightweight unmanned aerial vehicles (UAVs). The imaging geometry of small UAVs can be characterized by unstable flight attitudes and low flight altitudes ...
Jae-In Kim, Hyun-cheol Kim, Taejung Kim
doaj   +1 more source

Bootstraping financial time series [PDF]

, 2002
It is well known that time series of returns are characterized by volatility clustering and excess kurtosis. Therefore, when modelling the dynamic behavior of returns, inference and prediction methods, based on independent and/or Gaussian observations ...
Pascual, Lorenzo, Ruiz Ortega, Esther
core   +4 more sources

Unimodal Model-Based Inter Mode Decision for High Efficiency Video Coding

IEEE Access, 2019
In this paper, a fast inter mode decision algorithm, called the unimodal model-based inter mode decision (UMIMD), is proposed for the latest video coding standard, the high-efficiency video coding. Through extensive simulations, it has been observed that
Huanqiang Zeng, Wenjie Xiang, Jing Chen, Canhui Cai, Zhangkai Ni, Kai-Kuang Ma   +5 more
doaj   +1 more source

United they stand: Findings from an escalation prediction competition [PDF]

International Interactions, 2022
This article presents results and lessons learned from a prediction competition by ViEWS to improve collective scientific knowledge on forecasting (de-)escalation on the African continent. The competition call asked participants to forecast changes in state-based violence for the true future (October 2020 – March 2021) as well as for a held-out test ...
Vesco, Paola, Hegre, Håvard, Colaresi, Michael, Jansen, Remco Bastiaan, Lo, Adeline, Reisch, Gregor, Weidmann, Nils B.   +6 more
openaire   +3 more sources

Genomic prediction in family bulks using different traits and cross-validations in pine

G3: Genes, Genomes, Genetics, 2021
Genomic prediction integrates statistical, genomic, and computational tools to improve the estimation of breeding values and increase genetic gain. Due to the broad diversity in mating systems, breeding schemes, propagation methods, and unit of selection,
Esteban F Rios, Mario H M L Andrade, Marcio F R Resende, Matias Kirst, Marcos D V de Resende, Janeo E de Almeida Filho, Salvador A Gezan, Patricio Munoz   +7 more
doaj   +1 more source

Predicting United States Policy Outcomes with Random Forests [PDF]

Institute for New Economic Thinking Working Paper Series, 2020
Two decades of U.S. government legislative outcomes, as well as the policy preferences of high-income people, the general population, and diverse interest groups, were captured in a detailed dataset curated and analyzed by Gilens, Page et al. (2014). They found that the preferences of high-income earners correlated strongly with policy outcomes, while ...
McGuire, Shawn, Delahunt, Charles
openaire   +2 more sources

Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network

Remote Sensing, 2017
The Arctic sea ice is an important indicator of the progress of global warming and climate change. Prediction of Arctic sea ice concentration has been investigated by many disciplines and predictions have been made using a variety of methods.
Junhwa Chi, Hyun-choel Kim
doaj   +1 more source

Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction

ISPRS International Journal of Geo-Information, 2023
Considering the spatial and temporal correlation of traffic flow data is essential to improve the accuracy of traffic flow prediction. This paper proposes a traffic flow prediction model named Dual Spatial Convolution Gated Recurrent Unit (DSC-GRU).
Qingyong Zhang, Lingfeng Zhou, Yixin Su, Huiwen Xia, Bingrong Xu   +4 more
doaj   +1 more source