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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...
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...
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...
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 ...
Application of artificial neural networks in modelling of normalised structural steels mechanical properties
Artificial intelligence methods Computational material science and mechanics Artificial neural networks
2009/12/14
Purpose: This paper presents the application of artificial neural networks for mechanical properties prediction of constructional steels after heat treatment.
Design/methodology/approach: On the basi...
Using Artificial Neural Networks and Function Points to Estimate 4GL Software Development Effort
Artificial Neural Networks Function Points 4GL Software Development Effort
2009/12/7
Hie value of neural network modelling techniques in performing complicated pattern recognition and nonlinear estimation tasks has been demonstrated across an impressive spectrum of applications. Softw...
Control Chart Pattern Recognition Using Artificial Neural Networks
Multilayered Perceptrons Resilient Propagation Backpropagation
2009/7/27
Precise and fast control chart pattern (CCP) recognition is important for monitoring process environments to achieve appropriate control and to produce high quality products. CCPs can exhibit six type...