Arrival Time from Hamiltonian with Non-Hermitian Boundary Term
UniverseIn this study, we developed a new method for finding the quantum probability density of arrival at the detector. The evolution of the quantum state restricted to the region outside of the detector is described by a restricted Hamiltonian that contains a ...
Tajron Jurić, Hrvoje Nikolić
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Incorporating geostrophic wind information for improved space-time short-term wind speed forecasting [PDF]
, 2014 Accurate short-term wind speed forecasting is needed for the rapid development and efficient operation of wind energy resources. This is, however, a very challenging problem. Although on the large scale, the wind speed is related to atmospheric pressure,
Bowman, Kenneth P. +2 more
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Integrating Long and Short‐Term Time Dependencies in Simulation‐Based Seismic Hazard Assessments
Earth and Space Science, 2022 Conventional probabilistic seismic hazard analysis (PSHA) only considers mainshock events and uses a time‐independent earthquake rupture forecast to describe the occurrence of mainshocks. This approach neglects the long‐term time‐dependency of mainshocks
Salvatore Iacoletti +2 more
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Lost in Time: Temporal Analytics for Long-Term Video Surveillance
, 2017 Video surveillance is a well researched area of study with substantial work done in the aspects of object detection, tracking and behavior analysis. With the abundance of video data captured over a long period of time, we can understand patterns in human
Khor, Huai-Qian, See, John
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Short term vs. long term: Optimization of microswimmer navigation on different time horizons
Physical Review ResearchWe use reinforcement learning to find strategies that allow microswimmers in turbulence to avoid regions of large strain. This question is motivated by the hypothesis that swimming microorganisms tend to avoid such regions to minimize the risk of ...
N. Mousavi +4 more
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Integrating term-time working into graduate employability development strategies [PDF]
, 2002 Government at the time of this project was seeking to improve graduate employability. With work placements for undergraduates struggling to keep up with the expansion in student numbers, term-time working can potentially provide a significant source of ...
Fitzgerald, Ian, Stone, Ian
core
Statistics of Extreme Values in Time Series with Intermediate-Term Correlations
, 2007 It will be discussed the statistics of the extreme values in time series characterized by finite-term correlations with non-exponential decay. Precisely, it will be considered the results of numerical analyses concerning the return intervals of extreme ...
Pennetta, Cecilia
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Short Term Prediction of PM10 Concentrations Using Seasonal Time Series Analysis
MATEC Web of Conferences, 2016 Air pollution modelling is one of an important tool that usually used to make short term and long term prediction. Since air pollution gives a big impact especially to human health, prediction of air pollutants concentration is needed to help the local ...
Hamid Hazrul Abdul +4 more
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Hybrid linear time series approach for long term forecasting of crop yield
The Indian Journal of Agricultural Sciences, 2018 Long term forecasting of crop production is required to establish long term vision, say by 2025, to meet growing demand of population at that point of time. Existing univariate linear time series ARIMA approach is valid for short term forecast only.
WASI ALAM +6 more
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