Results 21 to 30 of about 1,709,470 (196)
Robust Mosaicking of Lightweight UAV Images Using Hybrid Image Transformation Modeling
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
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Genomic prediction in family bulks using different traits and cross-validations in pine
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 +7 more
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Unimodal Model-Based Inter Mode Decision for High Efficiency Video Coding
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 +5 more
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United they stand: Findings from an escalation prediction competition [PDF]
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 +6 more
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Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction
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 +4 more
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Predicting United States Policy Outcomes with Random Forests [PDF]
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
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Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network
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
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Sea ice motion and deformation have generally been measured using low-resolution passive microwave or mid-resolution radar remote sensing datasets of daily (or few days) intervals to monitor long-term trends over a wide polar area. This feasibility study
Chang-Uk Hyun, Hyun-cheol Kim
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Due to the inherent characteristics of the electromagnetic wave scattering phenomenon, synthetic aperture radar (SAR) images are directly degraded by high-frequency multiplicative speckle (HMS) noise, which makes image de-speckling filter application and
Iman Heidarpour Shahrezaei +1 more
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Prediction 𝑛 units of time ahead [PDF]
The purpose of this note is to give a simple expression in terms of w of the quantities \[ ρ n ( w ) = inf f ∫ 0 2 π | 1
Takahiko Nakazi, Katutoshi Takahashi
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