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

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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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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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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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 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. …”
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Texture representation for wood defect image classification using enhanced colour uniform local binary pattern by Rahiddin, Rahillda Nadhirah Norizzaty

“…The findings highlight the importance of systematic preprocessing using colour normalization and statistical validation using Multivariate Analysis of Variance (MANOVA) to improve classification performance. …”
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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 performance of the proposed MAFIE is compared with other existing applications of pattern classification schemes using Fisher's Iris data set and shown to be very competitive.…”
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Classification of Lubricant Oil Odor-Profile Using Case-Based Reasoning by Suhaimi, Mohd Daud, M. S., Najib, Nurdiyana, Zahed

“…The patterns were classified using case-based reasoning technique. …”
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Multilevel learning in Kohonen SOM network for classification problems by Mohd. Yusof, Norfadzila

“…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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A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification by Shamaileh, Abeer Moh'd Salem

“…Nowadays, texture image descriptors are used in many important real-life applications. The use of texture analysis in texture and medical image classification has attracted considerable attention. …”
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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.

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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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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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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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.

“…The aim of this study was to investigate the optimal combination of ratio-based body measurements needed for presenting potential information to define and predict a walk pattern in terms of speed with high classification accuracy using a deep learning-based walking speed classification model. …”
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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

“…The aim of this study was to investigate the optimal combination of ratio-based body measurements needed for presenting potential information to define and predict a walk pattern in terms of speed with high classification accuracy using a deep learning-based walking speed classification model. …”
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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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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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Agarwood classification based on odor profile using intelligent signal processing technique by M. S., Najib

“…This thesis presents the classification of Agarwood from Malaysia and Indonesia regions based on signal processing technique. …”
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Intelligent classification of ammonia concentration based on odor profile by Muhamad Faruqi, Zahari

“…Two intelligent classification techniques have been used which are Artificial Neural Network (ANN) using the back-propagation approaches and then, the result of ANN model was cross-validated.using CBR. …”
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