This paper presents a signature verification system that used Freeman Chain Code (FCC) as directional feature and data representation. There are 47 features were extracted from the signature images from six global features. Before extracting the features, the raw images were undergoing pre-processing stages which were binarization, noise removal by using media filter, cropping and thinning to p...

This srudy has demonstrated how artificial neural networks (ANNs) can be used to characterize seismic sources using high-frequency regional seismic data. We have taken the novel approach of using ANNs as a research tool for obtaining seismic source information, specifically depth of focus for earthquakes and ripple-fire characteristics for economic blasts, rather than as just a feature classifi...

The most vital organs in the human body are brain, heart, and lungs. Because brain controls coordinates operations of all other organs, normal function is vital. Brain tumour a mass tissues which interrupts functioning if left untreated will lead to death subject. classification multiclass tumours using spatial fuzzy based level sets artificial neural network (ANN) techniques proposed this pape...

the quality evaluation of agricultural products is one of the key factors in promoting their quality. in this study, a method based on combined image processing technique and artificial neural network was presented. separation of touching almonds under different positions is a very important step in design of grading devices. in this study, an image processing algorithm based on extracting crit...

The main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. The major objective of this paper is to investigate the potential of a neuro-fuz...

Audio classification has been one of the most popular applications Artificial Neural Networks. This process is at center modern AI technology, such as virtual assistants, automatic speech recognition, and text-to-speech applications. There have studies about spoken digit its However, to best author's knowledge, very few works focusing on English recognition that implemented ANN done. In this st...

Ganoderma disease is a kind of infection that actuates oil palm death. Early detection the most recommended strategy for proper treatment and control plan to be taken promptly. In this paper, methods were reviewed categorized accordingly. It was found combination remote sensors machine learning techniques could identify up four severity levels, including early stage infection. also significantl...

Intelligent power quality monitoring systems have become an essential component of high technology and high availability-oriented industries. Most power quality disturbances are non-stationary and transitory and the detection and classification have proved to be very demanding. The first step towards any solution for a disturbance is to recognize the presence of a particular type of disturbance...

The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experime...