Keywords: سری زمانی; Time-frequency analysis; Non-parametric latent feature model; Time series; Continuous phase modulation; Component extraction;
مقالات ISI سری زمانی (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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.
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: سری زمانی; Ensemble forecast; Forecast combination; Time series; NWP;
Keywords: سری زمانی; Seasonality; Autocorrelation; Time series; Forecasting; Visualization;
Keywords: سری زمانی; Volunteer computing; Resource availability; Statistical modeling; Markov model; Time series;
Keywords: سری زمانی; Precipitation; Time series; Geographically Weighted Regression; HASM;
Keywords: سری زمانی; Solar energy; Renewable energy; Global solar radiation; Angstrom-Prescott correlation; Hargreaves and Samani model; Artificial neural networks; Time series;
Keywords: سری زمانی; Cross-validation; Time series; Autoregression;
Keywords: سری زمانی; Landsat; Time series; Recovery; Regeneration; Harvest; ALS; Lidar; Boreal;
Keywords: سری زمانی; Business cycles; Output growth; Time series;
Keywords: سری زمانی; Mode tracking; Clustering; Data streams; Time series; Knowledge discovery;
Keywords: سری زمانی; Complex network theory; Time series; Granger causality; Price transmission; Price indices;
Keywords: سری زمانی; Social network analysis; Regression and classification models; Time series; Forecasting methods; Customer profiling; Data analytics; Customer relationship management;
Keywords: سری زمانی; Horizontal solar irradiance; Imputation; Gap filling; Kalman filter; Missing value; Time series;
Keywords: سری زمانی; Crop identification; Global modeling; Time series; Classification; Land use; Crop phenology;
Keywords: سری زمانی; C13; C22; C52; C82; E22; E31; O53; Time series; Capital stocks; Growth; Cycles; China;
Keywords: سری زمانی; Broad-area mapping; Time series; Spatial scale; Forest canopy cover; Impervious surface cover; Regression trees;
Keywords: سری زمانی; Learning vector quantization; Time series; Dynamic time warping;
Keywords: سری زمانی; Short sales; Asymmetric information; Liquidity; Bid-ask spreads; Time series; Vector autoregression; Impulse response functions; G10; G12; G14;
Keywords: سری زمانی; Forecasting support; Judgmental adjustment; Time series; Promotions; Sales;
Keywords: سری زمانی; Small-world network; Random network; Time series; Clustering coefficient; Main shock;
Keywords: سری زمانی; Landsat; Time series; Sparse sampling; Modeling; Change detection;
Keywords: سری زمانی; High Occupancy Toll (HOT); Time-varying parameter vector autoregressive model; Tolling; Time series; Impulse response function;
Keywords: سری زمانی; Cloud detection; Cloud shadow; Mask; Optical satellite images; Time series;
Keywords: سری زمانی; Online reliability prediction; Time series; Proactive adaption; Service-oriented system; System of Systems;
Keywords: سری زمانی; Solar forecasting; Time series; Very short term horizons; Probabilistic forecasting; Prediction intervals;
Keywords: سری زمانی; Landsat; Time series; Breakpoint regression; Environmental water; Environmental flows; Murray-Darling Basin; Floodplain; Hydroclimatic variability; Semi-arid; River basin; Rainfall; Top down statistical modeling;
Keywords: سری زمانی; Recommender system; Time series; Deep learning; Symbolic sequences; Big data; E-recruitment;
Keywords: سری زمانی; Network reconstruction; Time series; Neurooscillators; Time delay;
Keywords: سری زمانی; Service systems; Time series; Online reliability prediction; Neutral networks;
Keywords: سری زمانی; Economic voting; Asymmetric evaluations; Prospect theory; Loss aversion; Negativity bias; Time series;
Keywords: سری زمانی; Moyamoya disease; Ischemic stroke; Seasonal variation; Neurological disability; Time series; Incidence;
Keywords: سری زمانی; Time series; Semi-supervised classification; Positive and unlabeled; Self-training; Phase space; Cross-recurrence quantification analysis;
Keywords: سری زمانی; Remote sensing; Time series; Machine learning; Dengue population; Aedes ægypti (Linnaeus);
Keywords: سری زمانی; Cloud computing; CPU prediction; Neural networks; Optimization; Differential Evolution; Particle Swarm Optimization; Covariance Matrix Adaptation Evolutionary Strategy; Time series; Neuroevolution;
Keywords: سری زمانی; Campaign effects; Candidate traits; Time series;
Keywords: سری زمانی; Graphical models; Time series; Estimation; Optimization; Air pollution;
Keywords: سری زمانی; Abduction; Interpretation; Time series; Temporal abstraction; Temporal reasoning; Non-monotonic reasoning; Signal abstraction;
Keywords: سری زمانی; Ammonium nitrate; Time series; Explosive; Oxygen isotope; Nitrogen isotope; Forensic;
Keywords: سری زمانی; Complex network; Time series; Dynamics characteristics; Financial market;
Keywords: سری زمانی; Waste management; Agro-food industry; Forecasting; Time series; Theil-Sen;
Keywords: سری زمانی; Coastal Red Sea; Temperature; Salinity; Time series; Seasonality; Alongshore advection;
Keywords: سری زمانی; 37M10; 92C55; 97I40; Entropy; Geometric features; Power; Synchronization; Time series;
Keywords: سری زمانی; Forecasting; Time series; Visibility graph; Link prediction; CCI;
Keywords: سری زمانی; Predictability; Time series; Artificial neural networks; Exogenous variables; Wind generation;
Keywords: سری زمانی; Daily diary; Group iterative multiple model estimation; Growth curve; Multilevel modeling; P-technique; Time series;
Keywords: سری زمانی; Data analytics; Strategymap; Time series; Business model; Smiling curve;
Keywords: سری زمانی; 00â01; 99â00; Time series; Prediction; Wind speed; Renewable energy; Preprocessing; Hybrid models;
Keywords: سری زمانی; Change detection; Surface mining; Time series; Global;
Keywords: سری زمانی; Simulations; Empirical validation; Model selection; Time series; Agent Based Models;
Keywords: سری زمانی; Consumer credit risk; Machine learning; Deep learning; Mortgage default model; Time series;