Results 31 to 40 of about 384,790 (275)
Traffic Density Prediction using IoT-based Double Exponential Smoothing
Knowledge Engineering and Data Science, 2022 The number of vehicles and currents that tend to increase causes traffic density. A system is proposed to calculate the number of vehicles and predict real-time traffic density. This research uses Haar Cascade to detect the number of cars and motorcycles
Rosa Andrie Asmara +3 more
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The ?-constant stratum is not smooth
Inventiones Mathematicae, 1987 In this work, we find several interesting examples of surface singularities in \({\mathbb{C}}^ 3\), for which the \(\mu\)-constant stratum \(S_{\mu}\), in the miniversal deformation is not smooth. We study surface singularities \((V,0)\subset ({\mathbb{C}}^ 3,0)\) that can be resolved by a quadratic transformation, called superisolated singularities ...
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Effects of cropping, smoothing, triangle count, and mesh resolution on 6 dental topographic metrics.
PLoS ONE, 2019 Dental topography is a widely used method for quantifying dental morphology and inferring dietary ecology in animals. Differences in methodology have brought into question the comparability of different studies. Using primate mandibular second molars, we
Michael A Berthaume +2 more
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E-Jurnal Matematika, 2012 The purpose of this research is forecasting the growth of the GDRP in Bali Province on 2011. The fuzzy time series method and Holt-Winter’s exponential smoothing method used to forecast the GDRP in Bali Province on 2011 by using the data of Bali Province’
I GUSTI NGURAH ARYA WANAYASA +2 more
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FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
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Variable time constant smoothing circuit Patent [PDF]
, 1967 Variable time constant, wide frequency range smoothing network for noise removal from pulse ...
Hartenstein, R. G.
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On Probability Estimation by Exponential Smoothing
, 2015 Probability estimation is essential for every statistical data compression algorithm. In practice probability estimation should be adaptive, recent observations should receive a higher weight than older observations.
Mattern, Christopher
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Online Optimization of Smoothed Piecewise Constant Functions
, 2016 We study online optimization of smoothed piecewise constant functions over the domain [0, 1). This is motivated by the problem of adaptively picking parameters of learning algorithms as in the recently introduced framework by Gupta and Roughgarden (2016).
Cohen-Addad, V, Kanade, V
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Constant rank factorizations of smooth maps
, 2021 Sonar systems are frequently used to classify objects at a distance by using the structure of the echoes of acoustic waves as a proxy for the object's shape and composition. Traditional synthetic aperture processing is highly effective in solving classification problems when the conditions are favorable but relies on accurate knowledge of the sensor's ...
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Optimal constants and extremisers for some smoothing estimates [PDF]
Journal d'Analyse Mathématique, 2017 21 pages, statement of Theorem 1.6 fixed, further minor modifications, references ...
Bez, Neal, Sugimoto, Mitsuru
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