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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...
Experimental Comparison of Performance Monitoring Using Neural Networks Trained with Parameters Derived from Delay-Tap Plots and Eye Diagrams
Fiber optics communications Pattern recognition neural networks
2015/6/4
We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return...
Neural Analysis of Top Shielded Multilayered Coplanar Waveguides
Coplanar Waveguides Effective Relative Permittivity Characteristic Impedance
2009/7/28
Artificial neural networks (ANNs) have been promising tools for many applications. In recent years, a computer-aided design approach based on (ANNs) has been introduced to microwave modelling, simulat...
Optical Performance Monitoring of PSK Data Channels Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Diagrams via Balanced Detection
Optical Performance Monitoring PSK Data Channels Artificial Neural Networks Trained Parameters Derive
2015/7/17
We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using ba...
Off-Line Monitoring of OSNR/CD/PMD Degradation Effects Using Neural-Network-Based Training Sequences
Off-Line Monitoring OSNR/CD/PMD Degradation Effects Training Sequences
2015/8/3
A technique using artificial neural networks to simultaneously identify OSNR, CD, and PMD from eye-diagram parameters is demonstrated both via simulation and experimentally in 40 Gb/s OOK and DPSK sys...
Converter end-point prediction model using spectrum image analysis and improved neural network algorithm
spectrum image neural network
2011/5/6
Aiming at the present situation of the steelmaking end-point control at home and abroad, a neural network model was established to judge the end-point. Based on the colour space conversion and the fib...
Depth object recovery using a light line and a regression neural network
shape detection light line projection regression neural network Gaussian approximation
2011/4/26
A technique for measuring the objects shape is presented. In this technique, the object is scanned using a light line. From the scanning a set of images is captured by a CCD camera. By processing thes...