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2.920  Articles
1 of 292 pages  |  10  records  |  more records»
The COVID-19 pandemic induced a digital transformation of education and inspired both instructors and learners to adopt and leverage technology for learning. This led to online learning becoming an important component of the new normal, with home-based vi... see more

In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In ... see more

This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of feature ex... see more

This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of feature ex... see more

This paper describes the behavior of classifiers for identification and classification of fungal disease symptoms found on vegetable crops. Symptoms of fungal disease, namely, anthracnose, powdery mildew, rust, downey mildew, early blight, and late blight... see more

Background: Temporomandibular joint disorder (TMD) might be manifested as structural changes in bone through modification, adaptation or direct destruction. We propose to use Local Binary Pattern (LBP) characteristics and histogram-oriented gradients on t... see more

Background: Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. Since Panoramic image is a feasible and re... see more

During the course of this research, binary classification and the Knowledge Discovery Process (KDP) were used. The experimental and analytical capabilities of Rapid Miner's 9.10.010 instructional environment are supported by five different classifiers. In... see more

Background. The purpose of the study is to evaluate the effectiveness of the automatic computer diagnostic (ACD) systems developed on the basis of two classifiers — HAAR features cascade and AdaBoost for the detection of appendicitis and metastatic damage... see more

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