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128 articles for “training set”
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Research ArticleOpen accessIn the abstractChange Detection Using Neural Network with Improvement Factor in Satellite ImagesM. A. Fkirin, S. M. Badwai, Sayed A. MohamedProblem statement: The aim of this study is to investigate the applicability of using the neural network techniques in change detection of remotely sensed data. Approach: In addition, the tuning parameters of the network, such as encoding the output classes, adding the momentum term and learning rate, are investigated in order to achieve best network performance. Results: Neural network-based change … …American Journal of Environmental Sciences, Vol. 5, Issue 6 · 31 Dec 2009 · 6,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractED-XRF Analysis of Total Suspended Particulates from Enamelware Manufacturing IndustryJ. A. Sonibare, F. A. Akeredolu, O. Osibanjo, I. LatinwoConcentration and elemental composition of the total suspended particulates (TSP) emitted due to manufacturing activities of an enamelware industry in Lagos, Nigeria were investigated. Gravimetric method was used in mass concentration determination and an energy dispersive x-ray fluorescence (ED-XRF) analyzer was employed in the multi-elemental analysis. The Federal Ministry of Environment (FMENV, Nigeria's environment regulating body) set limit of 250 … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptic Disc Segmentation in Fundus Images with Deep Learning Object DetectorManal AlGhamdiThe Optic Disc (OD) is an important anatomical landmark in the fundus image to diagnose a myriad of diseases, such as glaucoma and Diabetic Retinopathy (DR) and to locate structures such as the macula and the main vascular arcade. However, locating and segmenting the OD are not easy tasks. Previous methods have employed a deep Convolutional Neural Network (CNN) without … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,377 accessesView PDFCite
Research ArticleOpen accessIn the abstractCapsule Defect Detection and Classification Using Enhanced MobileNet ModelWenqing Bian, Yongzhi Huang, Baolian Shan, Yanting ChangThe quality of capsules has a direct impact on human health. However, defects inevitably arise during the capsule manufacturing process, and manual sorting is required. Most studies on capsule defects focus on detecting surface imperfections and those on internal capsule defects remain relatively limited. This study classifies four types of capsules using the deep learning model MobileNet, aiming to accurately … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 5,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive and Neural Network Based Control of Pitch of Unmanned Aerial VehiclesMackenzie T. Matthews, Sun YiThe objective is to develop a new control strategy for quadrotor types of Unmanned Aerial Systems (UAVs) that assist in closing the existing research gaps between the undesired uncertainties and current control systems. This research investigates a system modeling and the effectiveness of error elimination through adaptation in the change of the plant/system’s output. The UAV is controlled via Wi-Fi … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 18 Nov 2019 · 6,491 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Poetry Authorship Attribution using Machine Learning TechniquesAl-Falahi Ahmed, Ramdani Mohamed, Bellafkih MostafaIn this study, authorship attribution in Arabic poetry will be conducted to determine the authorship of a specified text after documents with recognized authorships have been allocated. This work also measures the impact performance of Naïve Bayes, Support Vector Machine and Linear discriminant analysis for Arabic poetry authorship attribution using text mining classification. Several features such as lexical features, character … …Journal of Computer Science, Vol. 15, Issue 7 · 27 Jul 2019 · 151,025 accessesView PDFCite
Research ArticleOpen accessIn the abstractDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,231 accessesView PDFCite
Research ArticleOpen accessIn the abstractCompliance with Standard Precautions Among Nurses in Buraidah Health Care Settings. Buraidah, Saudi ArabiaAbdulaziz Mohammed Alharbi, Amen Ahmed Bawazir, Hassan NondoThis study was designed to determine the knowledge, compliance, and self-efficacy of standard precautions among nurses in Buraidah healthcare settings in Saudi Arabia. A cross-sectional study was conducted among 420 qualified nurses with over one year of working experience in the selected health setting. A structured self-administered questionnaire was used for data collection, including sections related to knowledge, compliance, and … …American Journal of Infectious Diseases, Vol. 19, Issue 3 · 7 Oct 2023 · 6,866 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolated Arabic Hand Written Letters Recognition Based on Contour Matching and Neural NetworkBajes Zeyad Aljunaeidia, Mutasem Shabib Alkhasawneh, Mohammad Ali BaniYounesComplexity of Arabic writing language makes its handwritten recognition very complex in terms of computer algorithms comparing with other languages such as English and French. The Arabic handwritten recognition has high importance in modern applications. The contour analysis of word image can extract special contour features that discriminate one character from another by the mean of vector features. This paper … …Journal of Computer Science, Vol. 14, Issue 11 · 23 Nov 2018 · 7,419 accessesView PDFCite