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194 results for “Computer Network”
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Research ArticleOpen accessEvery word in the titleThe Use of Neural Network to Recognize the Parts of the Computer MotherboardAbbas M. Ali, S. D. Gore, Musaab AL-SarierahThis study suggests a new approach of learning which utilizes the techniques of computer vision to recognize the parts inside the motherboard. The main thrust is to identify different parts of the motherboard using a Hopfield Neural Network. The outcome of the net is compared with the objects stored in the database. The proposed scheme is implemented using bottom -up … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,865 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFault Detection of Computer Communication Networks Using an Expert SystemIbrahiem M.M. El Emary, Adanan I. Al RabiaThe main objective of this study was to build an expert system for assisting the network administrator in his work of management and administration of the computer communication network. Theory of operation of the proposed expert system depends on using a time series model capable of forecasting the various performance parameters as: delay, utilization and collision frequency. When the expert … …American Journal of Applied Sciences, Vol. 2, Issue 10 · 31 Oct 2005 · 7,125 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEstimation Techniques for Monitoring and Controlling the Performance of the Computer Communication NetworksIbrahiem M.M. El Emary, Adanan I. Al RabiaThis study was concerned with making a comparative study between four types of time series model with the goal of choosing the optimum one to predict the performance of a computer communication network. The investigated four types of time series are: Least Square (LS), Fourier series, Exponential Weighted Moving Average (EWMA) and the Auto Regressive Integrated Moving Average (ARIMA). Comparative … …American Journal of Applied Sciences, Vol. 2, Issue 10 · 31 Oct 2005 · 7,126 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of a New Network-enabled Solver for the Assignment Problem in Computer-aided EducationAndreou Dimitrios, Paparrizos Konstantinos, Samaras Nikolaos, Sifaleras AngeloThis study present a new learning tool developed for the visualization of an algorithm for the assignment problem. We show how the teaching of an algorithm can be greatly enhanced and the tutor's effort decreased with a visualization tool that provides an interactive and animated view of the subject being taught to the students. This tool makes use of the … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,817 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComputer Users Sitting Posture Classification Using Distinct Feature Points and Small Scale Convolutional Neural Network for Humana Computer Intelligent Interactive System During COVID-19Jheanel Estrada, Larry VeaThe sudden change in our workplace practices from face-to-face work to work from home setup due to the pandemic has brought positive and negative impacts on our overall health. In literature, the use of deep learning and specialized cameras in the estimation of the human pose is popular even if there is a need for high computational resources and complex … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,553 accessesView PDFCite
Review ArticleOpen accessIn the keywordsRRDTool: A Round Robin Database for Network MonitoringManmohan Singh, Sweta Dargada, Hemant Mewada et al.RRDtool is a circular database that stores time series data. RRD tool assumes time-variable data inintervals of a certain length. An interval is named as a step, and specifiedupon creation of an RRD file which cannot be changed afterward. Because datamay not always come at just the right time, RRD tool will automaticallyinterpolate any submitted data. This is done to … …Journal of Computer Science, Vol. 18, Issue 8 · 27 Aug 2022 · 8,350 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetection of Pulmonary Nodules in ct Images Using Deep Learning TechniqueSanthi Balachandran, Divya, Nithya Rajendran, Brindha GiriLung Cancer is one of the most deadly diseases worldwide. According to the American Cancer Society, about 234,030 peoples have been suffering from lung cancer. It can be cured if it is diagnosed earlier which decreases the death rate. A computational diagnostic tool named Computer Aided Diagnosis (CAD) is used to detect pulmonary nodules. Extensive work has been made in … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeasibility of Desktop Virtualization Per Software Services and Local Hardware Based on the Network ThroughputVitor Chaves De Oliveira, Inacio Henrique Yano, Alexandre De Assis Mota, Lia Toledo Moreira MotaIn recent years, virtualization computing has become a worldwide reality present in datacenters servers of most organizations. The motivations for the use of this solution are focused primarily on cost reduction and increases in availability, integrity and security of data. Based on these benefits, recently it was started the use of this technology for personal computers as well. That is, … …Journal of Computer Science, Vol. 9, Issue 7 · 15 Jun 2013 · 6,725 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Analysis and Learning Method on Users' FeedbacksDoris Hooi-Ten Wong, Sureswaran RamadassProblem statement: The purpose of this study was constructing an effective algorithm in order to learn the users’ feedbacks from their displayed visualization. This is due to existing visualization tools typically involve presenting network data regardless of considering level of network data knowledge among different levels of computer users. The machine learning algorithm has been applied in order to find … …Journal of Computer Science, Vol. 7, Issue 9 · 26 Jul 2011 · 6,525 accessesView PDFCite