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Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unc...
Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC)，which is a ground improvement technique involving non-circular modules drawn behind a tractor，has provided the construction industry with an improved ground compaction...
Welcome to the 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN2017) website. Wearable biosensors are becoming increasingly pervasive. Although many of these device...
Calibration of a Digital Single Lens Reflex (SLR) Camera Using Artificial Neural Networks
Camera Calibration SLR Camera Lens Distortion
2015/12/14
The use of non-metric digital cameras in close-range photogrammetric applications and machine vision has become a popular
research agenda. Being an essential component of photogrammetric evaluation, ...
AUTOMATIC SHIP DETECTION IN SINGLE-POL SAR IMAGES USING TEXTURE FEATURES IN ARTIFICIAL NEURAL NETWORKS
Ship detection texture feature neural network sentinel SAR
2016/1/15
This paper presents a novel method for detecting ships from high-resolution synthetic aperture radar (SAR) images. This method categorizes ship targets from single-pol SAR images using texture feature...
ARTIFICIAL NEURAL NETWORKS AS A TOOL FOR SITE SELECTION WITHIN GIS
Artificial Neural Networks Decision-Making Site Selection Fuzzy Logic FuzzyCell GIS
2015/9/28
To obtain more flexibility and more effective capability of handling and processing imprecise information about the real world, fuzzy set theory is introduced into GIS. FuzzyCell is a system designed ...
Automated Building Extraction from High-Resolution Satellite Imagery Using Spectral and Structural Information Based on Artificial Neural Networks
building extraction artificial neural networks learning C# programming environment
2015/9/17
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
Visual Character Recognition using Artificial Neural Networks
text recognition character recognition pattern recognition neural networking artificial intelligence
2015/8/5
The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In...
TRANSFERABILITY OF ARTIFICIAL NEURAL NETWORKS FOR MAPPING LAND COVER OF REGIONAL AREAS WITH HIGH SPATIAL RESOLUTION IMAGERY
artificial intelligence neural networks IKONOS multitemporal land cover mapping ecology
2015/7/30
Accurate and frequently updated land cover maps of environmentally protected areas are necessary for the management of legislation
programs governed by the EU, national authorities and local environ...
Classification of Multi-spectral, Multi-temporal And Multi-sensor Images Using Principal Components Analysis and Artificial Neural Networks: Beykoz Case
Land Cover Classification Artificial Neural Networks
2015/7/9
The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they
provide spatial and temporal information about the nature of Earth su...
ROAD DETECTION FROM HIGH RESOLUTION SATELLITE IMAGES USING ARTIFICIAL NEURAL NETWORKS
Remote Sensing Extraction Neural Networks
2015/6/1
In this article, the possibility of using artificial neural networks for road detection from high resolution satellite images is tested on a
part of RGB Ikonos and Quick-Bird images from Kish Island...
ARTIFICIAL NEURAL NETWORKS FOR THE DETECTION OF ROAD JUNCTIONS IN AERIAL IMAGES
object recognition road junctions artificial neural networks
2015/5/18
Road junctions are important objects for traffic related tasks, vehicle navigation systems, but also have a major role in topographic
mapping. The paper describes an approach of automatic junction de...
THE IMPACT OF DATA COMPRESSION AND NEIGHBORHOOD INFORMATION ON THE CLASSIFICATION ACCURACY OF ARTIFICIAL NEURAL NETWORKS
Neural Networks Thematic Classification Principal Component Analysis
2015/2/3
The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...
Spatial predictive mapping using artificial neural networks
Artificial Neural Network Geodata Analysis Modelling GIS Geo-hazard Mineral Deposits Slope Stability Forest Pests advangeo
2014/11/28
The modelling or prediction of complex geospatial phenomena (like formation of geo-hazards) is one of the most important tasks for geoscientists. But in practice it faces various difficulties, caused ...
MAPPING MAJOR CROPPING PATTERNS IN SOUTHEAST ASIA FROM MODIS DATA USING WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS
MODIS data Croplands Wavelet transform Artificial neural networks (ANNs) Southeast Asia
2014/4/28
Agriculture is one of the most important sectors in the economy of Southeast Asia countries, especially Thailand and Vietnam. These two countries have been the largest rice suppliers in the world and ...