Results 31 to 40 of about 75,217 (233)
Single Image Video Prediction with Auto-Regressive GANs
Italian National Conference on Sensors, 2022 In this paper, we introduce an approach for future frames prediction based on a single input image. Our method is able to generate an entire video sequence based on the information contained in the input frame.
Jiahui Huang +7 more
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Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes [PDF]
Physics of Fluids, 2014 We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is ...
Faranda, Davide +7 more
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Electronics, 2021 In this research paper, a nonlinear autoregressive with exogenous input (NARX) model of the nonlinear system based on neural network and time series analysis is proposed to deal with the one-month forecast of the produced power from photovoltaic modules (
M. Louzazni, Heba Mosalam, D. Cotfas
semanticscholar +1 more source
Bank Lending (Credit) Channel of Monetary Transmission Mechanism
Journal of Business and Social Review in Emerging Economies, 2018 The significance of channel of bank lending for the process of transmission of monetary policy is examined employing the model of ARDL (Auto-regressive-distributed lag).
Quratulain Ezam
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Revista Brasileira de Saúde Materno Infantil, 2021 This reflective theoretical article, aims to discuss conceptual and methodological aspects about the applications of time series modeling, in particular, the Integrated Auto-regressive Moving Average model and its applicability in infant mortality.
Aline Beatriz dos Santos Silva +4 more
semanticscholar +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2014 This paper describes the identification by the compound digital filter with two estimators involved in the Kalman filter, the first corresponds to stochastic gradient describing the transition function and the second obtains the innovation process gain ...
José de Jesús Medel Juárez +2 more
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Sistemasi: Jurnal Sistem Informasi, 2023 This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the
Hasyim Asy'ari +2 more
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IEEE Access, 2018 Rolling element bearing is a critical component in many mechanical systems in view of its critical functionality. One of the major issues industries face today is the failure of bearings, which results in catastrophic consequences.
Yanfei Lu +3 more
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Classification and retrieval of traffic video using auto-regressive stochastic processes [PDF]
IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 2005 We propose to model the traffic flow in a video using a holistic generative model that does not require segmentation or tracking. In particular, we adopt the dynamic texture model, an auto-regressive stochastic process, which encodes the appearance and the underlying motion separately into two probability distributions.
A.B. Chan, N. Vasconcelos
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Identifikasi Pemodelan Matematis Robot Wall Following
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018 This paper describes the process to obtain a mathematical model of a wall following robot. A mathematical modeling is carried out as an effort in determining Proportional, Integral, and Derivative (PID) controller parameters using analytic tuning.
Fahmizal Fahmizal +2 more
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