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PREDICTION OF WIND SPEEDS BASED ON DIGITAL ELEVATION MODELS USING BOOSTED REGRESSION TREES
Digital Elevation Model Wind Speed Non-Parametric Regression
2016/1/15
In this paper a new approach is presented to predict maximum wind speeds using Gradient Boosted Regression Trees (GBRT). GBRT are a non-parametric regression technique used in various applications, su...
MOVING OBJECTS TRAJECTOTY PREDICTION BASED ON ARTIFICIAL NEURAL NETWORK APPROXIMATOR BY CONSIDERING INSTANTANEOUS REACTION TIME, CASE STUDY: CAR FOLLOWING
Moving Object Trajectory Artificial Neural Network Reaction Time Mean Square Error Index of Agreement Microscopic Simulation
2016/1/18
Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. ...
Spatial Prediction of Transport Related Urban Air Quality
Quality Statistics Pollution Environment GIS
2015/12/3
The aim of this study is to explore the relationship between, transport, land-use and air quality and mapping of air pollutants by means of spatial information sciences, which would provide useful inf...
Forecasting electricity demand for future years is an essential step
in resource planning. A common approach is for the system operator
to predict future demand from the estimates of individual dist...
Crop yield prediction with SPOT VGT in Mediterranean and central Asian countries
crop yield forecasting SPOT VEGETATION crop growth monitoring
2015/9/6
Some years ago the MARS-FOOD group was established to support the Food Aid and Food Security policies of the European
Commission. The activities are aimed at improving methods and information on crop...
Operational prediction of crop yields using MODIS data and products
Remote Sensing Agriculture Crop yield
2015/9/6
Official crop progress, condition and production estimates for the United States are responsibilities of the U.S. Department of
Agriculture’s, National Agricultural Statistics Service (NASS). In addi...
Prediction and Mapping of Shallow Landslides in Kashmir Himalayas Using Remote Sensing and Geospatial Tools
Landslides Shalstab GIS
2015/8/31
The high susceptibility to landslides of the Himalayan terrain is mainly due to a complex geological setting combined
with contemporary, varying slopes and relief, heavy rainfall, along with every in...
Spatial Prediction of Some Biological Forest Variables by Terrain Analysis – the Kheiroud-Kenar Forest, North of Iran
Forest variables Spatial prediction Terrain analysis
2015/8/28
This research conducted to evaluate spatial pattern of some biological variables (mean diameter, density, richness index and biodiversity
index) of forest by linear regression models using terrain an...
GROWING ENVIRONMENT CHARACTERIZATION OF RICE AND YIELD PREDICTION USING TIME COMPOSITED NOAA AVHRR OPTICAL AND THERMAL DATA
Growing environment yield prediction relative evapotranspiration
2015/8/28
Relative (actual / potential) evapotranspiration (RET) was derived using ten-day composite NOAA PAL datasets (8km x 8km spatial
resolution) over Indian landmass and an operational energy balance algo...
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising
Approximate Message Passing Lasso Group Lasso, Joint Sparsity, James- Stein, Minimax Risk over Nearly-Black Objects Minimax Risk of Soft Thresholding Minimax Risk of Firm Thresholding Minimax Shrinkage Nonconvex penalization State Evolution Total Variation Minimization Monotone Regression.
2015/8/21
Compressed sensing posits that, within limits, one can undersample a sparse signal and yet reconstruct it accurately. Knowing the precise limits to such undersampling is important both for theory and ...
Neuro-fuzzy modeling for crop yield prediction
Neural Networks Neuro-Fuzzy Fuzzy Neural Networks
2015/8/20
The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (wheat) yield using remote sensing and
other data. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS)...
Cluster Validation by Prediction Strength
Number of clusters Prediction Unsupervised learning
2015/8/20
This article proposes a new quantity for assessing the number of groups or clusters in
a dataset. The key idea is to view clustering as a supervised classification problem, in which
we must al...
Event Prediction and Object Motion Estimation in the Development of Visual Attention
predictive gaze control developmental model visual saccade object tracking
2015/7/30
A model of gaze control is describes that includes mechanisms for predictive control using a forward model and event driven expectations of target behavior. The model roughly undergoes stages similar ...
Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics
Coastal and Ocean Dynamics Lagrangian Analysis
2015/7/20
During a colloquium on Lagrangian dynamics in Liège, Belgium, in 1999, several participants discussed convening a meeting devoted to Lagrangian studies in the ocean and atmosphere. The European Scienc...
Model Prediction-Based Approach to Fault Tolerant Control with Applications
Fault tolerant control Unscented Kalman filter Decentralized control Overlapping decomposition Model predictive control CSTR units Quadruple tank system
2015/7/10
Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions. In this paper, an FTC scheme is proposed for ...