Search Results - (( using normalization based algorithm ) OR ( quality classification based algorithm ))

Effective gene selection techniques for classification of gene expression data by Yeo, Lee Chin

“…Various k-means clustering algorithms and model-based clustering algorithms are proposed to group the genes. …”
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Automatic Classification of Cervix Type by Muktiar Singh, Jasdeep Singh

“…Due to that, in this study, few algorithms were developed by using image classification methods to correctly classify the cervix types based on cervical images by using segmentation and classification method. …”
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Detection on ambiguous software requirements specification written in malay using machine learning by Zahrin, Mohd Firdaus

“…As the result, the Random Forest algorithm is the best algorithm which is measured based on measurement metric i.e. …”
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Supervised neural network classifier for voice pathology by Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr., Sivanandam, S. N., Hariharan, Muthusamy

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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

“…Finally, LS-SVM is applied to MR image classification using reduced features. The achieved reconstruction results are 850 times faster than the conventional multicore CPU and 85 times faster than the GPU based reconstructions of SENSE, while maintaining the quality of the reconstructed images with significantly less artefact power ( < 2.45 10 4  ) and good mean SNR (35+ dB) values. …”
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Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar by Anuwar, Fahteem Hamamy

“…In order to find the best analysis, two different kernels are used which are Gaussian RBF and Linear kernel. During classification, all the features are normalized to ensure it is properly scaled. …”
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A review of classification techniques for electromyography signals by Mohd Saad, Norhashimah, Omar, Siti Nashayu, Abdullah, Abdul Rahim, Shair, Ezreen Farina, H.Rashid

“…This article depicts the application of various ML algorithms used in EMG signal analysis till recently, but in the future, it will be used in more medical fields to improve the quality of diagnosis.…”
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A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

“…Several image preprocessing steps was designed to contrast the images, remove the noise, and improve image quality and overall appearance. Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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Power quality disturbance magnitude characterization using wavelet transformation analysis part 2 - Application by Zin, A.A.M, Goh, H.H, Lo, Kueiming Lun

“…Power quality disturbances (PQD) are normally monitored by dedicated power quality devices. …”
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Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig... by Harum, Norharyati, Khalil, Mohamad Kchouri, Obeid, Ali, Hazimeh, Hussein

“…One of the most commonly used algorithms is Support Vector Machine (SVM). …”
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Camera Independent Face Recognition Algorithm In Visual Surveillance by Yew, Chuu Tian

“…The combination of flandmark images at 20�30 with multi-class Support Vector Machine (SVM) is used to form a multimodal classification system with LDA and HE combination. …”
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Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

“…In this study, the images has been captured using a kinect sensor based skeletal algorithms. …”
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Application of image quality assessment module to motion-blurred wood images for wood species identification system by Rajagopal, Heshalini, Khairuddin, Anis Salwa Mohd, Mokhtar, Norrima, Ahmad, Azlin, Yusof, Rubiyah

“…The IQA module will determine whether the image has to undergo the image deblurring process based on the image quality value. If the image is of low quality based on the image quality value obtained, then the image will be deblurred before the feature extraction procedure. …”
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An enhanced gated recurrent unit with auto-encoder for solving text classification problems by Zulqarnain, Muhammad

“…Classification has become an important task for categorizing documents automatically based on their respective groups. …”
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Just Queuing: Policy-Based Scheduling Mechanism for Packet Switching Networks by Miaji, Yaser Shamsulhak A

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A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum by Mohd Shafri, Helmi Zulhaidi, Ebadi, Ladan

“…SLWT incorporates the advantages of both SWT and LWT methods, including a translation invariance property and a fast simple algorithm. Experimental results show that SLWT highly outperforms other wavelet-based methods in terms of accuracy and visual quality. …”
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A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform by Mahmmod, Basheera M.

“…Recent SEA approaches tend to enhance speech quality and intelligibility, because improving these two attributes is critical for normal people and hearing impairments. …”
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Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters by Teguh, Sutanto, Muhammad Rafli, Aditya, Haldi, Budiman, M.Rezqy, Noor Ridha, Usman, Syapotro, Noor, Azijah

“…This study compares four machine learning algorithms Logistic Regression, Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) in water quality classification based on contaminant parameters. …”
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Electrocardiogram based heart disease diagnosis using artificial intelligence by Hussain Kareem, Khleaf

“…Accordingly, the first step is an image segmentation method using proposed thresholding algorithms has been used to locate objects and boundaries of the ECG signal and background grid lines in the ECG images. …”
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Addressing imbalanced EEG data for improved microsleep detection: An ADASYN, FFT and LDA-based approach by Hasan, Md Mahmudul, Khandaker, Sayma, Norizam, Sulaiman, Hossain, Mirza Mahfuj, Islam, Ashraful

“…For classification, Linear Discriminant Analysis (LDA) is employed to effectively distinguish between microsleep events and normal wakefulness based on the extracted features. …”
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