Keywords: داده های زمان واقعی; C32; E32; E44; Financial volatility; Real-time data; Predictive ability tests; Dynamic factor model; Markov switching;
مقالات ISI ترجمه شده داده های زمان واقعی
مقالات ISI داده های زمان واقعی (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: داده های زمان واقعی; C2; E4; E5; Risk management-driven policy rate gap; Uncertainty; Monetary policy; Taylor rules; Real-time data;
Keywords: داده های زمان واقعی; Combined cooling heat and power; District heating and cooling; Real-time optimization; Operational optimization; Partial load; Real-time data;
Keywords: داده های زمان واقعی; Real-time data; Sensors; Smart collection; Optimization; Waste management; Dynamic routing;
Keywords: داده های زمان واقعی; Interest rate rule estimation; Real-time data; Forward-looking data;
Keywords: داده های زمان واقعی; Deep underground hard rock mines; risk assessment; rock stress; real-time data; inverse calculation;
Keywords: داده های زمان واقعی; Collaborative calculation; Real-time data; Historical data; Smart cities; Recognized data of vehicles;
Keywords: داده های زمان واقعی; Accident likelihood; Accident severity; Real-time data; Urban arterials;
Keywords: داده های زمان واقعی; Band-pass filter; Fisher g test; Multivariate singular spectrum analysis; Singular spectrum analysis; US output gap; Real-time data;
Keywords: داده های زمان واقعی; D83; E03; E37; Bounded rationality; Expectations; Forecasting; Real-time data; Recursive estimation;
Keywords: داده های زمان واقعی; Smart cities; ICT; Real-time data; Imperfection; Evidential database; Theory of belief functions; IoT; IoE; Crowdsourcing;
Keywords: داده های زمان واقعی; Real-time data; Time-varying parameters; Stochastic volatility; Impulse responses; C22; E31; E58;
Keywords: داده های زمان واقعی; RTD; Real-time data; JCPDS; Joint committee on powder diffraction standards; %T; Percentage of transmittance (dimensionless); Iron oxides; Colloidal suspension; Rheology; Hydrogen bonding;
Keywords: داده های زمان واقعی; Real-time data; Multi-objective; Flexible job shop scheduling; Dynamic game theory;
Keywords: داده های زمان واقعی; C13; C22; E37; Real-time data; Data revisions; Forecast disagreement;
Keywords: داده های زمان واقعی; Firm-level data; Forecasting; Factor model; Real-time data; Large datasets;
Keywords: داده های زمان واقعی; workflow; smart manufacturing; real-time data; Matlab; Ansys; Tableau; ROM; CFD.
Keywords: داده های زمان واقعی; Real-time data; Web services; Sensor networks; Adaptive sampling; Internet of things (IoT);
Keywords: داده های زمان واقعی; E52; C53; C82; Dynamic factor model; GDP; Nowcasting; Real-time data;
Keywords: داده های زمان واقعی; Factor models; Dynamic analysis; State space method; Kalman filter; Forecasting competition; Real-time data; Mixed frequency;
Keywords: داده های زمان واقعی; Construction; Greenbook; Housing starts; Multicointegration; Real-time data; Survey of Professional Forecasters;
Keywords: داده های زمان واقعی; primary, 62G20; secondary, 62G05Minimax; Optimal rate of convergence; Exact constant of convergence; Real-time data
Keywords: داده های زمان واقعی; E44; G17Market returns predictability; Output gap; Real-time data; MIDAS regression; Beta-weighting scheme
Keywords: داده های زمان واقعی; Q43; C53; Forecast combination; Real-time data; WTI; Refiners' acquisition cost; Model selection;
Keywords: داده های زمان واقعی; World trade and GDP forecasts; Augmented bridge models; World bridge model; Real-time data;
Keywords: داده های زمان واقعی; Exchange rate forecasting; Taylor rules; Real-time data; Out-of-sample test StatisticsC23; C53; E32; E52; F31; F47
Keywords: داده های زمان واقعی; E37; C53; E17Business cycle indicator; Early GDP estimate; Forecast accuracy; Real-time data
Keywords: داده های زمان واقعی; G12; C32; C51; C52; Stock market illiquidity; Divisia money; GDP growth; Non-linear model; Real-time data;
Keywords: داده های زمان واقعی; Business cycle; Dating rules; Turning points; Real-time data
Keywords: داده های زمان واقعی; Density forecasts; Business-cycle turning points; Real-time data; Nowcasting; BootstrapC53 (forecasting models); E37 (cycle forecasting)
Keywords: داده های زمان واقعی; Forecast combination; Forecast evaluation; Survey of Professional Forecasters; Real-time data; Shrinkage; High-dimensional data
BIMSL: A generic approach to the integration of building information models with real-time sensor data
Keywords: داده های زمان واقعی; Building information modeling; BIM sensor language; Internet of things; Sensors; Real-time data; Domain-specific language;
The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey
Keywords: داده های زمان واقعی; C22; C52; C53; E37; Nowcasting GDP; Mixed-frequency data; Model selection; Real-time data;
Nowcasting BRIC+M in real time
Keywords: داده های زمان واقعی; Dynamic factor model; Nowcasting; Real-time data; Emerging markets;
Combining forecasts from successive data vintages: An application to U.S. growth
Keywords: داده های زمان واقعی; Real-time data; MIDAS; Repeated observations forecasting; Scoring rule;
A novel method for quantitative geosteering using azimuthal gamma-ray logging
Keywords: داده های زمان واقعی; Geosteering; Quantitative method; Azimuthal gamma-ray logging; Real-time data; Monte Carlo simulation;
Do federal reserve bank presidents have a regional bias?
Keywords: داده های زمان واقعی; Individual Taylor-type rules; Regional bias; Real-time data; Interest rate preferences; C12; C30; D72; E58;
Do high-frequency financial data help forecast oil prices? The MIDAS touch at work
Keywords: داده های زمان واقعی; Mixed frequency; Real-time data; Oil price; Forecasts;
Does the Greenspan era provide evidence on leadership in the FOMC?
Keywords: داده های زمان واقعی; C15; C53; D72; E58; Federal Reserve Districts; Greenspan era; Real-time data; Individual reaction functions; Bootstrap;
Use of continuous and grab sample data for calculating total maximum daily load (TMDL) in agricultural watersheds
Keywords: داده های زمان واقعی; Diffuse pollution; Chemometrics; Salinity; Real-time data; Sustainability; Agricultural ecosystems
Using forecast evaluation to improve the accuracy of the Greenbook forecast
Keywords: داده های زمان واقعی; Evaluating forecasts; Forecast efficiency; Adjusting forecasts; Real-time data; The Greenbook forecast;
Professional forecasters and real-time forecasting with a DSGE model
Keywords: داده های زمان واقعی; Bayesian methods; Real-time data; Survey of Professional Forecasters; Macroeconomic forecasting; Euro area;
The (un)reliability of real-time output gap estimates with revised data
Keywords: داده های زمان واقعی; Output gap; Real-time data; Data revision; Business cycles; E32; E52; E58;
Real-time Internet news browsing: Information vs. experience-related gratifications and behaviors
Keywords: داده های زمان واقعی; Information utility; Internet news; Real-time data; Screen videos; Usage experience; Uses and gratifications
A hybrid optimization-based recurrent neural network for real-time data prediction
Keywords: داده های زمان واقعی; Hybrid optimization; Recurrent neural networks; Structure and parameter learning; Real-time data; Prediction
Combining expert forecasts: Can anything beat the simple average?
Keywords: داده های زمان واقعی; Forecast combination; Forecast evaluation; Multiple model comparisons; Real-time data; Survey of Professional Forecasters
Financial conditions indexes for the United States and euro area
Keywords: داده های زمان واقعی; E5; E17; E44; Financial conditions; Short-term forecasting; Real-time data;
Real-time forecasts of economic activity for Latin American economies
Keywords: داده های زمان واقعی; C51; C53; E17; Nowcasting; Short-term forecasting; Real-time data; Latin America;
An overhaul of Federal Reserve doctrine: Nominal income and the Great Moderation
Keywords: داده های زمان واقعی; E30; E37; E52; E58; Monetary policy rules; Real-time data; Greenbook forecasts; Nominal income target; Great Moderation;
The Effect of Data Revisions on the Basic New Keynesian Model
Keywords: داده های زمان واقعی; C32; E30; E52; NKM model; monetary policy rule; indirect inference; real-time data; (non-)rational forecast error;