Peak floor acceleration demand prediction based on response spectrum analysis of various sophistication
Sign Up to like & getrecommendations! 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… read more here.
Keywords: peak floor; response spectrum; prediction based; prediction ... See more keywords
Integration of Prediction Based Hybrid Compression in Distributed Sensor Network
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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… read more here.
Keywords: compression; network; prediction based; hybrid compression ... See more keywords
Foundations of petroleum prediction based on the activation of geochemical processes by direct current
Sign Up to like & getrecommendations! 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… read more here.
Keywords: based activation; petroleum prediction; prediction based; foundations petroleum ... See more keywords
Prediction-based parking allocation framework in urban environments
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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.… read more here.
Keywords: parking space; allocation; prediction; prediction based ... See more keywords
Hydraulic conductivity prediction based on grain-size distribution using M5 model tree
Sign Up to like & getrecommendations! 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… read more here.
Keywords: hydraulic conductivity; conductivity prediction; prediction based; model ... See more keywords
Spatial prediction based on Third Law of Geography
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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… read more here.
Keywords: spatial prediction; geography; prediction based; law geography ... See more keywords
Pathogenic gene prediction based on network embedding
Sign Up to like & getrecommendations! 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… read more here.
Keywords: pathogenic gene; network; prediction based; gene prediction ... See more keywords
PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment
Sign Up to like & getrecommendations! 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… read more here.
Keywords: based lstm; power; prediction; power prediction ... See more keywords
Prediction-Based Portfolio Optimization Models Using Deep Neural Networks
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DOI: 10.1109/access.2020.3003819
Abstract: Portfolio optimization is a hot research topic, which has attracted many researchers in recent decades. Better portfolio optimization model can help investors earn more stable profits. This paper uses three deep neural networks (DNNs), i.e.,… read more here.
Keywords: portfolio optimization; based portfolio; prediction based; portfolio ... See more keywords
Intra Prediction-Based Measurement Coding Algorithm for Block-Based Compressive Sensing Images
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DOI: 10.1109/access.2021.3068579
Abstract: Block-based compressive image sensor (BCIS) captures light and represents them as compressed data called measurement. It has potential to revolutionize conventional image and video acquisition system that builds upon high complexity and redundant process. However,… read more here.
Keywords: block based; prediction; based compressive; intra prediction ... See more keywords
Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3176451
Abstract: The majority of the accidents were happening perpetually due to driver drowsiness over the decades. Automation has been playing key role in many fields to provide conformity and improve the quality of life of the… read more here.
Keywords: aspects using; driver drowsiness; prediction based; multiple aspects ... See more keywords