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CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information
Side-channel Analysis Artificial Neural Networks Power
2018/5/28
Machine learning has become mainstream across industries. In this work we pose the following question: Is it possible to reverse engineer a neural network by using only side-channel information? We an...
Predicting the earthwork width and determining the annual growth loss due to forest road construction using artificial neural network and ArcGIS
area of road earthwork hillside slope roadside rock share
2016/8/2
The area of forest destruction as well as the annual growth loss due to road construction before constructing a road was predicted. To do this, road cross sections of 88 points along the 10 km propose...
TEXTURE-BASED LIDAR GRAY IMAGE SEGMENTATION USING ARTIFICIAL NEURAL NETWORK
LiDAR Texture Artificial Neural Network (ANN) Classification Image segmentation
2016/3/17
Using artificial neural network， a synthetical image derived from light and ranging data was segmented based on the height texture and intensity texture measure. Focusing on a coastal area near ZhuHai...
THE ROLE OF SPATIAL METRICS ON THE PERFORMANCE OF AN ARTIFICIAL NEURAL-NETWORK BASED MODEL FOR LAND USE CHANGE
Multispectral Remote Sensing Landscape Metrics Spatial Modelling Land use mapping Spatial Analysis Landsat Image Change Detection
2016/1/3
The present study examines the role of spatial metrics in the performance of a previously developed ANN model for predicting land use/cover changes. The model outputs are validated against a land-use ...
ESTIMATION OF ATMOSPHERIC TEMPERATURE AND HUMIDITY PROFILES FROM MODIS AND RADIOSOND DATA USING ARTIFICIAL NEURAL NETWORK
Neural Network Humidity Temperature Linear Regression Radiosond
2015/12/30
The aim of this study is to test the quality of the neural network for retrieving the temperature and humidity by comparison with the radiosond values and a linear regression method. Remote sensed ima...
DETECTION OF DAMAGED BUILDINGS AFTER AN EARTHQUAKE USING ARTIFICIAL NEURAL NETWORK ALGORITHM
Remote Sensing Earthquakes Detection Building High resolution Neural
2015/12/28
It is obvious that an earthquake always is counted a threat to species life. It is necessary to react both accurately and precisely to the disaster. The most damages refer to the buildings and the roa...
AUTOMATIC EDDY EXTRACTION FROM SST IMAGERY USING ARTIFICIAL NEURAL NETWORK
Image Interpretation 2-D Feature Extraction Image Understanding Feature Detection Oceanography
2015/12/23
Mesoscale eddies have a significant impact on the exchange of material and energy in the ocean, and thus their knowledge are of great importance for the study of oceanic circulation. Images of sea sur...
EXPERIMENTAL STUDY OF ARTIFICIAL NEURAL NETWORK FOR GEOMETRIC RECTIFICATION OF SATELLITE IMAGERY
Geometric Rectification BPNN RBFNN CEM GA Whiskbroom Accuracy
2015/12/23
In this paper, series of experimental studies about the neural network model for whiskbroom remote sensing imagery geometry correction methods based on BPNN (Back-Propagation Neural Networks) and RBFN...
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. ...
USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA
Land Use Change Data Mining Multivariate Adaptive Regression Spline Artificial Neural Network Receiver Operating Characteristic
2016/1/15
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
Estimation of Unknown Height with Artificial Neural Network on Digital Terrain Model
Artifcial Neural Network DEM/DTM Modelling Prediction Accuracy
2015/12/8
In Digital Terrain Models (DTM) interpolation is actually a surface fitting problem. For the estimation of heights of points with known X-Y coordinates there are many interpolation methods. Besides, t...
GREENHOUSES DETECTION USING AN ARTIFICIAL NEURAL NETWORK WITH A VERY HIGH RESOLUTION SATELLITE IMAGE
Artificial Neural Network Very High Resolution Satellite Image Texture Analysis
2015/8/31
Detecting and locating greenhouses in south-east of Spain is very important for politicians and other persons who may take decisions
about management of natural resources and who must design agricul...
Artificial Neural Network Application on Estimation of Aquifer Transmissivity
Aquifer Parameter Feed Forward Back Propagation
2015/8/13
The present study focuses on the unexplored area of application of artificial neural network in groundwater hydrology. Three models, each based on artificial neural networks, are applied for predictio...
Application of an artificial neural network to estimate groundwater level fluctuation
groundwater level fluctuation estimating artificial neural network back propagation algorithms radial basis function MATLAB
2015/8/13
This paper examines and compares the capability of an artificial neural network (ANN) with five different backpropagation (BP) algorithms, namely Gradient descent with momentum (GDM), Gradient descent...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
ransmissivity Kriging Artificial Neural Network ANFIS Neuro-Fuzzy interpolation groundwater
2015/8/11
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...