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Published in 2017 at "Acta Mechanica"
DOI: 10.1007/s00707-016-1756-5
Abstract: This paper addresses the prediction of the median peak floor total acceleration (PFA) demand in spatial elastic structures subjected to seismic excitation. The prediction is based on various response spectrum methods of different degrees of…
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Keywords:
peak floor;
response spectrum;
prediction based;
prediction ... See more keywords
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Published in 2025 at "Wireless Networks"
DOI: 10.1007/s11276-025-03925-3
Abstract: Routing of flying ad hoc networks is more challenging than traditional Mobile ad hoc networks due to the high mobility of Unmanned Aerial Vehicles (UAVs). Reactive protocols that adjust routing according to the location and…
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Keywords:
routing protocol;
protocol;
hoc networks;
prediction based ... See more keywords
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Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08896-0
Abstract: In this paper, a hybrid data compression scheme based on predictive compressed sensing (CS) and light weight lossless compression is suggested for wireless sensor networks (WSNs). CS based techniques are well motivated in WSNs not…
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Keywords:
compression;
network;
prediction based;
hybrid compression ... See more keywords
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Published in 2018 at "Russian Geology and Geophysics"
DOI: 10.1016/j.rgg.2018.10.010
Abstract: Petroleum prediction in local objects and the applicability of geologic environment parameters in this regard are considered. The proposed guidelines for petroleum potential prediction are based on the analysis of the distribution of typomorphic epigenetic…
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Keywords:
based activation;
petroleum prediction;
prediction based;
foundations petroleum ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-024-84599-3
Abstract: In field of location prediction, trajectory recognition is one of the most widely research issues. Since trajectory includes various information such as position, time, and speed, many scientific methods are applied to extracting meaningful features,…
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Keywords:
location;
prediction;
store trajectory;
trajectory ... See more keywords
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Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0219221
Abstract: In the field of flow field reconstruction, traditional deep learning models predominantly rely on standard convolutions, but their predictive accuracy remains limited. To address this issue, we explore the potential of E(2)-equivariant convolutions to enhance…
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Keywords:
field;
flow field;
field prediction;
fast flow ... See more keywords
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Published in 2020 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2020.1721503
Abstract: ABSTRACT Finding a parking space is usually challenging in urban areas. The literature shows that 30% of traffic congestion is caused by searching for parking spaces, which results in unnecessary energy consumption and environmental pollution.…
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Keywords:
parking space;
allocation;
prediction;
prediction based ... See more keywords
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Published in 2017 at "Geomechanics and Geoengineering"
DOI: 10.1080/17486025.2016.1181792
Abstract: ABSTRACT The hydraulic conductivity, Ks, is one of the most important hydraulic properties which controls the water and solute movement into the soil. It is measured on soil specimens in the laboratory. On the other…
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Keywords:
hydraulic conductivity;
conductivity prediction;
prediction based;
model ... See more keywords
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Published in 2018 at "Annals of GIS"
DOI: 10.1080/19475683.2018.1534890
Abstract: ABSTRACT Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of…
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Keywords:
spatial prediction;
geography;
prediction based;
law geography ... See more keywords
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Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbaa353
Abstract: In disease research, the study of gene-disease correlation has always been an important topic. With the emergence of large-scale connected data sets in biology, we use known correlations between the entities, which may be from…
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Keywords:
pathogenic gene;
network;
prediction based;
gene prediction ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936597
Abstract: The randomness, volatility, and intermittence of solar power generation make it difficult to achieve the desired accuracy of PV output-power prediction. Therefore, the time learning weight (TLW) proposed in this paper is used to improve…
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Keywords:
based lstm;
power;
prediction;
power prediction ... See more keywords