Search Results - pattern classification _

Improved two-ways classification for agent patterns by Cheah, Wai Shiang, Masli, Azman Bujang, Mit, Edwin, Abdul Halin, Alfian

“…This paper presents a classification scheme for agent patterns. It is an improvement of the existing pattern classifications. …”
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Completed Local Ternary Pattern for Rotation Invariant Texture Classification by Rassem, Taha H., Bee, Ee Khoo

“…In this paper, a novel completed modeling of the Local Ternary Pattern (LTP) operator is proposed to overcome both LBP drawbacks, and an associated completed Local Ternary Pattern (CLTP) scheme is developed for rotation invariant texture classification. …”
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Multilevel learning in Kohonen SOM network for classification problems by Mohd. Yusof, Norfadzila

“…Self-organizing map (SOM) is a feed-forward neural network approach that uses an unsupervised learning algorithm has shown a particular ability for solving the problem of classification in pattern recognition. Classification is the procedure of recognizing classes of patterns that occur in the environment and assigning each pattern to its relevant class. …”
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Songket pattern classification using backpropagation neural network / Nik Aidil Syawalni Nik Mazlan by Nik Mazlan, Nik Aidil Syawalni

“…Despite to the several system limitations, the project on classifies Songket pattern using BPNN is consider successful. The outcomes of this investigation show the originality and efficacy of employing BPNNs for Songket pattern classification, resulting in good accuracy rates in the classification of Songket. …”
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Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition by Leong, Shi Xiang

“…In pattern recognition system, achieving high accuracy in pattern classification is crucial. …”
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I Need your love: self-stigma and classification of communication patterns required by breast cancer patients by Mohd Jamil, Saidatun Najmiah, Bolong, Jusang, Osman, Mohd Nizam, Tham, Jen Sern

“…Researchers suggest that there are four classifications of communication patterns that can be implemented to communicate with breast cancer patients, such as primary communication pattern, secondary communication pattern, linear communication pattern and circular communication pattern. …”
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A survey of fuzzy min max neural networks for pattern classification: variants and applications by Al Sayaydeh, Osama Nayel, Mohammed, Mohammed Falah, Lim, Chee Peng

“…Over the last few decades, pattern classification has become one of the most important fields of artificial intelligence because it constitutes an essential component in many real-world applications. …”
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Accuracy assessment of urban growth pattern classification methods using confusion matrix and ROC analysis by Ghani N.L.A., Abidin S.Z.Z., Khalid N.E.A.

“…Classification (of information); Growth rate; Image resolution; Matrix algebra; Pattern recognition; Soft computing; Accuracy assessment; Accuracy of classifications; Classification methods; Confusion matrices; Expansion index; Receiver operating characteristic analysis; ROC analysis; Urban growth patterns; Urban growth…”

A hybrid-based modified adaptive fuzzy inference engine for pattern classification by Sayeed, Md. Shohel, Ramli, Abdul Rahman, Hossen, Md. Jakir, Samsudin, Khairulmizam, Rokhani, Fakhrul Zaman

“…The Neuro-Fuzzy hybridization scheme has become of research interest in pattern classification over the past decade. The present paper proposes a hybrid Modified Adaptive Fuzzy Inference Engine (MAFIE) for pattern classification. …”
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Pattern Recognition for Human Diseases Classification in Spectral Analysis by Nur Hasshima Hasbi, Abdullah Bade, Fuei, Pien Chee, Muhammad Izzuddin Rumaling

“…UV/Vis, IR, and Raman spectroscopy are well-known spectroscopic methods that are used to determine the atomic or molecular structure of a sample in various fields. Typically, pattern recognition consists of two components: exploratory data analysis and classification method. …”
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A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification by Alhroob, Essam, Mohammed, Mohammed Falah, Lim, Chee Peng, Tao, Hai

“…At present, pattern classification is one of the most important aspects of establishing machine intelligence systems for tackling decision-making processes. …”
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An investigation on pattern of unstable "Beta-Gamma (βγ)" magnetic classification of sunspot in type II burst, type III burst and type IV burst on active region / Siti Nur Umairah Sabri by Sabri, Siti Nur Umairah

“…The pattern of unstable "Beta-Gamma (βγ)" magnetic classification of sunspot has been investigated. …”
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification by Quteishat, A., Lim, C.P., Tan, K.S.

“…In this paper, a two-stage pattern classification and rule extraction system is proposed. …”
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Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns by Lei, I. L., Teh, Phoey Lee *, Si, Yain-Whar

“…To identify chart patterns, time series data is usually segmented before it can be processed by different classification methods. …”
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Fuzzy Min Max Neural Network for pattern classification: An overview of complexity problem by Al Sayaydeh, Osama Nayel, Shamaileh, Abeer

“…Over the last years, the pattern classification is considered one of the most significant domains in artificial intelligence (AI), because it shapes a fundamental in many diverse real live applications where the artificial neural networks (ANNs) and fuzzy logic (FL) are most extensively utilized in pattern classification. …”
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Hybrid Computational Intelligence Models With Symbolic Rule Extraction For Pattern Classification by Quteishat, Anas Mohammad Ali

“…This thesis is concerned with the development of hybrid Computational Intelligence (CI) models for tackling pattern classification problems. …”
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Object categories specific brain activity classification with simultaneous EEG-fMRI by Ahmad, Rana Fayyaz, Malik, Aamir Saeed, Kamel , Nidal, Reza, Faruque

“…Decoding neural patterns or its classification is a challenging task. …”
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Pattern Classification of Human Epithelial Images by Mohd Isa, Mohd Fazlie

“…Last but not least, from the mean of properties, it will classify into the pattern after ranging the value of mean properties of each of the pattern itself that has been done in classification stage.…”
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Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

“…There are a lot of feature extraction methods and classification methods for iris classification. Classic local binary pattern (LBP) is one of the most useful feature extraction methods. …”
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The classification of urban growth pattern using topological relation border length algorithm: An experimental study by Ghani N.L.A., Abidin S.Z.Z.

“…Expansion; Infill drilling; Topology; Boundary analysis; Classification results; Classification rules; Topological relations; Urban growth patterns; Urban regions; Urban growth…”