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Skin appearance is almost universally the object of gender-related expectations and stereotypes. This not with standing, remarkably little work has been done on establishing quantitatively whether skin texture can be used for gender discrimination. We present a detailed analysis of the skin texture of 43 subjects based on two complementary imaging modalities afforded by a visible-light dermoscope...
Motor is a kind of imperative driving device, whether a motor can monitor its state precisely and diagnose fault timely have a profound impact. This paper mainly investigates the improvement of the general method of motor defect diagnosis to achieve higher accuracy. Unfortunately, every classifier has their own respective advantages and disadvantages, using the typical machine learning methods separately...
Fungal keratitis has a high rate of blindness and can cause big harm to health. In recent years the incidence of it is rising. So the accurate diagnosis of fungal keratitis is important, but traditional diagnostic methods have some deficiencies. This paper proposes a new cornea fungi automatic detection method based on texture analysis and support vector machine (SVM). The detection of hyphae is a...
Activity recognition has received a lot of attention from research scholars in the past few years. There has been a huge demand for activity recognition because of its ability to ease human-machine interaction, help in care for the elderly, and monitor the habitat requirements of the wildlife. In this paper, a Support Vector Machine (SVM) classifier to recognize the human activities has been built...
The work presented in this paper is part of the filed of automatic recognition of radar targets. Thus, for assistance in target recognition, we propose a new approach to extract efficient feature from synthetic aperture radar (SAR) images. The proposed approach deals with a combination of two feature descriptors obtained from two methods. In the first method, we perform the dual-tree complex wavelet...
Crackles, which are a kind of abnormal lung sounds, are used as indicators for the diagnosis of pulmonary diseases. In this paper, an automatic and noninvasive method is presented for crackles detecting. This method mainly comprises three steps: preprocessing, features extracting and crackles detecting based on support vector machines(SVM). The features are fmin/fmax of the frequency limbic signal,...
The deep learning based trackers can always achieve high tracking precision and strong adaptability in different scenarios. However, due to the fact that the number of the parameter is large and the fine-tuning is challenging, the time complexity is high. In order to improve the efficiency, we proposed a tracker based on fast deep learning through constructing a new network with less redundancy. Based...
In this paper, we investigate a range of strategies for combining multiple machine learning techniques for recognizing Arabic characters, where we are faced with imperfect and dimensionally variable input characters. Experimental results show that combined confidence-based backoff strategies can produce more accurate results than each technique produces by itself and even the ones exhibited by the...
Epileptic seizure detection requires the study of electroencephalogram (EEG) data. Visual marking of seizure onset in such EEG recordings is quite tedious, naturally subjective, extremely time consuming, and it may lead to inaccurate detection. Thus, the development of a robust framework for automatic seizure classification is necessary and can be very useful in epilepsy investigation. In this paper,...
Brain Computer Interface (BCI) is a system to control human brain activities. BCI system was useful for the disabled or paralyzed peoples. The main objective of this work is to develop a BCI system to classify EEG stimulus pattern for motor imagery. For the improvement of classification feature extraction should be best one. Here Common Spatial Pattern (CSP) technique has been applied for extraction...
Analysis of breath sounds for the purpose of diagnosing respiratory pathology is of great interest in recent years. In this paper, classification of normal, wheeze, rhonchi, line and coarse crackles using breath sound signal recording is performed using signal processing and machine learning tools. Breath sounds were filtered from noise and segmented into breath cycles followed by feature extraction...
Quality, stability and unity are the basic requirement for product in modern food industry, which can be guaranteed by proper device, such as electronic nose. So an electronic nose is developed to meet the job, the electronic nose has the ability of working independently or interactively with PC. And it is working under Linux 3.0.1 environment, with fundamental functions to working on ARM or PC. It...
We study in this paper an authorship attribution in Arabic poetry using text mining classification. Several features such as Characters, Poetry Sentence length; Word length, Rhyme, Meter and First word in the sentence are used as input data for text mining classification algorithms Naïve Bayes NB, Support Vector Machine SVM, and Sequential Minimal Optimization SMO. The data set of experiment was divided...
A new method of digital number recognition for mechanical digital meters in substation is studied in this paper, which adopts linear SVM based on Histogram of Oriented Gradients (HOG) features. The grids of Histograms of Oriented Gradient descriptors significantly outperform for feature detection of the gray image which has more information than binary image. A new approach with segmentation of region...
Classification of soil is the dissolution to soil sets to particular group having a like characteristics and similar manners. Almost all countries do product exporting, in which those countries exporting higher agricultural product are very much depend on the soil characteristics. Thus, soil characteristics identification and classification is very much important. Identification of the soil type helps...
In this research, a new technique For Content Based Image Retrieval (CBIR) with contrast enhancement using multi-feature and multi kernel Support Vector Machine (SVM) method. Color moment (CM), Auto Correlogram (AC), Discrete Wavelet Transform (DWT), Gabor Filter (GF) features are proposed. We extended the previous work which used binary SVM classifier and color features. First of all take a query...
Feature extraction addresses the problem of finding the most compact and informative set of features. To maximize the effectiveness of each single feature extraction algorithm and to develop an efficient intrusion detection system, an ensemble of Linear Discriminant Analysis (LDA) and Principle Component Analysis (PCA) feature extraction algorithms is implemented. This ensemble PCA-LDA method has...
Electro-hydraulic servo systems are used as actuators for positioning and force exertion in heavy-duty and relatively precise industrial applications. In addition, to achieve the best performance of the system, all of the components must work properly. These systems are often subjected to some problematic issues such as leakage, fluid property variation, and actuator seal damage. These problems are...
Diabetic Retinopathy is human eye disease which causes damage to retina of eye and it may eventually lead to complete blindness. Detection of diabetic retinopathy in early stage is essential to avoid complete blindness. Many physical tests like visual acuity test, pupil dilation, optical coherence tomography can be used to detect diabetic retinopathy but are time consuming and affects patients as...
Speaker identification is a biometric technique of determining an unknown speaker's identity among a number of speakers using distinguish latent information of uttered speech. Crime investigation, security control, telephone banking and trading, and information reservation are some applications of this technique. Frequency Domain Linear Prediction (FDLP) is a time-frequency-based feature has been...
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