Search Results - ((pattern classification) OR (based classification)) based

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

“…FMM is considered one of the most useful neural networks for pattern classification. This paper aims to 1) analyze the FMM neural network in terms of its impact in addressing pattern classification problems; 2) examine models that are proposed based on the original FMM model (i.e., existing FMM-based variants); 3) identify the challenges associated with FMM and its variants, and; 4) discuss future trends and make recommendations for improvement. …”
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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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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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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

“…This division facilitates understanding of the improvements on the original FMM model, as well as enables identification of the limitations that still exist in various FMM-based models. We also summarize the use of FMM and its variants in solving different benchmark and real-world pattern classification problems. …”
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The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition by M. A., Ameedeen, Marhaini, M. S.

“…While the algorithm helped to classify different types of wavelengths produced from the sensor, a classification-based algorithm via Pattern Recognition Method will be used to classify and match the food components. …”
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Classification of Lubricant Oil Odor-Profile Using Case-Based Reasoning by Suhaimi, Mohd Daud, M. S., Najib, Nurdiyana, Zahed

“…This paper presents the study of lubricant oil classification based on odor-profile using Case_based Reasoning (CBR) classifier.…”
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Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

“…Pattern recognition/classification has received a considerable attention in engineering fields. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks by F. M., Mohammed

“…Pattern classification is one of the major components for the design and development of a computerized pattern recognition system. …”
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A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification by Shamaileh, Abeer Moh'd Salem

“…Then, CLTP is extracted based on the LL wavelet coefficients. The latter one is the reduction in the dimensionality of WCLTP by reducing its size and a proposed new texture descriptor, namely, feature-based wavelet completed local ternary pattern (FeatWCLTP). …”
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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

“…However, existing segmentation methods are less effective in classifying 16 curve-shaped chart patterns from financial time series. In this paper, we propose three novel segmentation methods for classification of curveshaped chart patterns based on direct least squares fitting of ellipses. …”
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Texture representation for wood defect image classification using enhanced colour uniform local binary pattern by Rahiddin, Rahillda Nadhirah Norizzaty

“…Among the evaluated species, Rubberwood exhibited the highest accuracy, with particularly strong results for Rubberwood Rot (92.2%) and Merbau Hole (95.6%), demonstrating the advantages of colour-based feature extraction in defect classification. …”
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Classification of daily torrential rainfall patterns based on a robust correlation measure by Shazlyn Milleana Shaharudin

“…Classification of daily torrential rainfall patterns based on a robust correlation measure by Shazlyn Milleana Shaharudin…”
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Walking speed classification from marker-free video images in two-dimension using optimum data and a deep learning method by Sikandar, Tasriva, Rahman, Sam Matiur, Islam, Dilshad, Ali, Md. Asraf, Al Mamun, Md. Abdullah, Rabbi, Mohammad Fazle, Kamarul Hawari, Ghazali, Altwijri, Omar, Almijalli, Mohammed, Ahamed, Nizam U.

“…To this end, the performance of different combinations of five ratio-based body measurements was evaluated through a correlation analysis and a deep learning-based walking speed classification test. …”
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Walking speed classification from marker-free video images in two-dimension using optimum data and a deep learning method by Sikandar, Tasriva, Rahman, Sam Matiur, Islam, Dilshad, Ali, Md Asraf, Mamun, Md Abdullah Al, Rabbi, Mohammad Fazle, Kamarul Hawari, Ghazali, Altwijri, Omar, Almijalli, Mohammed, Ahamed, Nizam Uddin

“…To this end, the performance of different combinations of five ratio-based body measurements was evaluated through a correlation analysis and a deep learning-based walking speed classification test. …”
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Novel Art-Based Neural Network Models For Pattern Classification, Rule Extraction And Data Regression by Yap , Keem Siah

“…This thesis is concerned with the development of novel neural network models for tackling pattern classification, rule extraction, and data regression problems. …”
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Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib by Najib, Muhammad Sharfi

“…This thesis presents the classification of Agarwood from Malaysia and Indonesia regions based on signal processing technique. …”
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Automated Classification System for HEp-2 Cell Patterns by Nor Shaharim, Nur Ashiqin

“…The third stage feature extraction based on shape properties data extraction. The last stage uses classification based on different properties data abstracted. …”
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Classification of lubricant oil geometrical odor-profile using cased-based reasoning by Suhaimi, Mohd Daud, M. S., Najib, Nurdiyana, Zahed, Muhammad Faruqi, Zahari, Nur Farina, Hamidon Majid, Suziyanti, Zaib, Mujahid, Mohamad, Addie Irawan, Hashim, Hadi, Manap

“…Based on the classification results, it shows that the accuracy of the classification is100% correct classification.…”
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Intelligent classification of ammonia concentration based on odor profile by Muhamad Faruqi, Zahari

“…This thesis presents the intelligent classification of ammonia concentration based on the standard of oil and gas industries wastewater discharge. …”
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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

“…The performance of the one versus many classification is affected by the 1D-LBP based information and the value of K in K-NN classifier. …”
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