Search Results - level classification technique

Classification of forensic autopsy reports through conceptual graph-based document representation model by Mujtaba, Ghulam, Shuib, Liyana, Raj, Ram Gopal, Rajandram, Retnagowri, Shaikh, Khairunisa, Al-Garadi, Mohammed Ali

“…Moreover, two-level classification obtained better results compared with one-level classification. …”
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Requirements identification using high level carotene text classification concept for distributed agile team communication by Zainal Abdin, Nor Hidayah

“…This technique is called as High Level Carotene (HLC) technique that embedded into the tool that can identify the requirements information by classifying the text messages. …”
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An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab by Bassam Ali Qasem, Al-Qatab

“…Firstly, intra-severity classification intended to identify the level of severity of the dysarthric speakers. …”
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Development of haze classification technique using remote sensing in Malaysia / Norsolihin Mohd Noor by Mohd Noor, Norsolihin

“…Consequently, this paper attempts to fill the gaps of knowledge by research on the techniques and methods that can measure the level of classification of haze using remote sensing. …”
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Vehicle classification technique for automated road traffic census by Bong, Shuk Hui

“…This thesis proposes the development of vehicle classification technique for automated road traffic census prototype to replace manually vehicle classification by applying morphological techniques for image classification. …”
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Automatic classification of medical x-ray images by Zare, M.R., Seng, W.C., Mueen, A.

“…These features have been exploited in different algorithms for automatic classification of medical X-ray images. We then analyzed the classification performance obtained with regard to the image representation techniques used. …”
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STUDENTS DATA CLASSIFICATION MODEL by SETU, ILI AIMIE

“…In this project, research is conducted based on data sets of undergraduates at varsity level to classify student performance data. The objective of the project is to develop a system that utilizes various intelligent techniques with targeted accuracy being at a minimal level of88%. …”
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Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman by Sulaiman, Norizam

“…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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Determination and classification of human stress index using non parametric analysis of EEG signals / Norizam Sulaiman by Sulaiman, Norizam

“…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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Ripeness level classification for pineapple using RGB and HSI colour maps by Abu Bakar, Badrul Hisham, Ishak, Asnor Juraiza, Shamsuddin, Rosnah, Wan Hassan, Wan Zuha

“…An image processing technique is used to evaluate the level of ripeness of fresh pineapple. …”
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Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition by Burhan, Nuradebah

“…Electromyography (EMG) signal is a biomedical signal which measures physical activity of human muscle.It has been acknowledged to be widely used in rehabilitation or recovery application system assisting physiotherapist to monitor a patient’s physical strength,function,motion and overall well-being by addressing the underlying physical issues.In application system associated with rehabilitation,a signal processing and classification techniques are implemented to classify EMG signal obtained.For real time application in the rehabilitation, the classification is crucial issue.The success of the signal classification depends on the selection of the features that represent a raw EMG signal in the signal processing.Therefore,a robust and resilient denoising method and spectral estimation technique have been acknowledged as necessary to distinguish and detect the EMG pattern.The present study was undertaken to determine the characteristic of EMG features using denoising method and spectral estimation technique for assessing the EMG pattern based on a supervised classification algorithm.In the study,the combination of time-frequency domain (TFD) and time domain (TD) were identified as the preferred denoising method and spectral estimation techniques.In the first part of study, the recorded EMG signal filtered the contaminated noise by using wavelet transform (WT) approach which implemented discrete wavelet transform (DWT) method of the wavelet-denoising signal. …”
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Determination and classification of human stress index using non-parametric analysis of EEG signals by Norizam, Sulaiman

“…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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Comparison of accuracy performance based on normalization techniques for the features fusion of face and online signature by Suryanti, Awang, Junaida, Sulaiman, Noorhuzaimi@Karimah, Mohd Noor, Bayuaji, Luhur

“…Feature level fusion in multimodal biometrics system is able to produce higher accuracy compared to score level and decision level of fusion due to the richer information provided. …”
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Multi-level of feature extraction and classification for X-Ray medical image by Abdulrazaq, M, Alshaikhli, Imad Fakhri Taha, Mohd Noah, Shahrul Azman, Fadhil,, Moayad Al Athami

“…Addressing this, this study formulated an effective classification for X-ray medical images using different feature extractions and classification techniques. …”
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Improved Maturity and Ripeness Classifications of Magnifera Indica cv. Harumanis Mangoes through Sensor Fusion of an Electronic Nose and Acoustic Sensor by Ammar, Zakaria, Ali Yeon, Md Shakaff, Prof. Dr., Maz Jamilah, Masnan, Fathinul Syahir, Ahmad Saad, Abdul Hamid, Adom, Prof. Dr., Mohd Noor, Ahmad, Prof. Dr., Mahmad Nor, Jaafar, Assoc. Prof. Dr., Abu Hassan, Abdullah, Latifah Munirah, Kamarudin

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Evaluating supervised and unsupervised techniques for land cover mapping using remote sensing data by Mohd Hasmadi I, Pakhriazad HZ, Shahrin MF

“…In conclusion, this study found that the supervised classification technique appears more accurate than the unsupervised classification.…”
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Intelligent methods for automatic classification of medical images / Mohammad Reza Zare by Zare, Mohammad Reza

“…These classes are those with high ratio of intra class variability and inter-class similarities. The classification process is carried out by employing three different annotation techniques, i.e. …”
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Analysis of glutathione supplementation effects on female metabolic syndrome condition using classification techniques / Nur Rasyidah Hasan Basri by Nur Rasyidah , Hasan Basri

“…Prediction models will be constructed through classification technique to predict the MS parameter level based on GSH level and several other predictors. …”
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Assessment of coconut tree crown detection using remote sensing approach / Nurul Annissa Abdullah by Abdullah, Nurul Annissa

“…In the case of SPOT 6 imagery, both the MLC and RF classification exercise yielded impressive results with the accuracy levels of 92. 3% and the Kappa coefficient of 0. 859, thus this is an indication of the role played by image resolution and classification techniques in establishing high accuracy levels. …”
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Comparison Of Image Classification Techniques Using Caltech 101 Dataset by Mokhairi, Makhtar, Engku Fadzli Hasan, Syed Abdullah, Nur Shazwani, Kamarudin

“…This paper presents the technique for the classification of single object images. …”
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