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A review on 3D image reconstruction on specific and generic objects
With the emergence of various techniques involved in deep learning the researchers of
computer vision tends to focus on the strategies such as object recognition and …
computer vision tends to focus on the strategies such as object recognition and …
A robotic platform for customized and interactive rehabilitation of persons with disabilities
In this work, we have developed a multisensor system for rehabilitation and interaction with
persons with motor and cognitive disabilities. The system enables them to perform different …
persons with motor and cognitive disabilities. The system enables them to perform different …
Regional frequency analysis using Growing Neural Gas network
The delineation of hydrologically homogeneous regions is an important issue in regional
hydrological frequency analysis. In the present study, an application of the Growing Neural …
hydrological frequency analysis. In the present study, an application of the Growing Neural …
A novel approach to gas turbine fault diagnosis based on learning of fault characteristic maps using hybrid residual compensation extreme learning machine-growing …
Gas path analysis is a well-known approach to gas turbine condition monitoring that consists
of three steps, including detection, isolation and identification of performance deteriorations …
of three steps, including detection, isolation and identification of performance deteriorations …
[HTML][HTML] A Fast Multi-Scale of Distributed Batch-Learning Growing Neural Gas for Multi-Camera 3D Environmental Map Building
Biologically inspired intelligent methods have been applied to various sensing systems in
order to extract features from a huge size of raw sensing data. For example, point cloud data …
order to extract features from a huge size of raw sensing data. For example, point cloud data …
Regionalization of rainfall intensity–duration–frequency (IDF) curves with L-moments method using neural gas networks
Floods are one of the most frequent and destructive natural events which lead to lots of
human and financial losses with damage to the houses, farms, roads, and other buildings …
human and financial losses with damage to the houses, farms, roads, and other buildings …
Investigation of quantitative and qualitative changes in groundwater of Ardebil plain using ensemble artificial intelligence-based modeling
Groundwater is an essential source to supply water for various sectors. This paper aimed to
predict the quantitative and qualitative changes in groundwater over time and to evaluate …
predict the quantitative and qualitative changes in groundwater over time and to evaluate …
3D model reconstruction using neural gas accelerated on GPU
In this work, we propose the use of the neural gas (NG), a neural network that uses an
unsupervised Competitive Hebbian Learning (CHL) rule, to develop a reverse engineering …
unsupervised Competitive Hebbian Learning (CHL) rule, to develop a reverse engineering …
[PDF][PDF] SIRMAVED: Development of a comprehensive monitoring and interactive robotic system for people with acquired brain damage and dependent people
The care of dependent people, whose dependence is caused either by disease, accident,
disability, or age, is a high-priority area of research in developed countries today. This care …
disability, or age, is a high-priority area of research in developed countries today. This care …
Investigation of the performance of neural gas networks in hydrological clustering
The design of many infrastructures and construction projects requires the extensive studies
in the area's geographical conditions and climatic characteristics. The effectiveness of this …
in the area's geographical conditions and climatic characteristics. The effectiveness of this …