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126 results for “preprocessing”
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Research ArticleOpen accessIn the keywordsWireless Body Area Sensor Networks Signal Processing and Communication Framework: Survey on Sensing, Communication Technologies, Delivery and FeedbackKhalid Abu Al-Saud, Massudi Mahmuddin, Amr MohamedProblem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. This study surveys the state-of-the-art on Wireless Body Area Networks, discussing the major components of research in this area including physiological sensing and preprocessing, WBASNs … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 9,155 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Technique for Web Log mining with Better Data Cleaning and Transaction IdentificationJ. Vellingiri, S. Chenthur PandianProblem statement: In the internet era web sites on the internet are useful source of information for almost every activity. So there is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. Web mining is the application of data mining, artificial intelligence, chart technology and so on to the … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,889 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffect of Data Processing on Data QualityA. R. SamihProblem statement: Great attention had been paid on spatial data quality by the scientific community. This was due to the negative impact that a poor spatial data quality had on the competitiveness of an organization. On other hand, we can never obtain good quality data from a poor quality data. In this study, we demonstrate the effects of the different … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,269 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Comparison of Different Image Sizes for Recognizing Unconstrained Handwritten Tamil Characters using SVMN. Shanthi, K. DuraiswamyThis study describes a system for recognizing offline handwritten Tamil characters using Support Vector Machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of 300 dpi and stored as grey scale images. Various preprocessing operations are performed on the digitized image to enhance the quality … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 7,008 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRegularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising AutoencodersPavel Vyacheslavovich Skribtsov, Sergey Olegovich SurikovThis article offers a regularization method for training stacked sparse denoising autoencoders aimed at designing model description of objects used for image denoising and inpainting. The offered regularization method allows increasing the generalizing ability of model description, which results in greater stability of denoising methods using it with regard to variation of the noise type. This makes the offered method … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 13 Jan 2016 · 7,609 accessesView PDFCite
Review ArticleOpen accessIn the keywordsAn Insight into Rare Class Problem: Analysis and Potential SolutionsSatyam Maheshwari, R.C. Jain, R.S. JadonThe class imbalance problem presents an important challenge to the data mining community, in which the number of examples of one class is more than the others. This problem is characterized by a different distribution of cases between all the classes. In this paper, our goal is to study the various challenges of class imbalance problem and provide a comparative … …Journal of Computer Science, Vol. 14, Issue 6 · 9 May 2018 · 8,387 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSwarm Optimization Techniques for Segmenting Gel Electrophoresis ImagesSara Ibrahim Ibrahim, Mohamed Abd Allah Makhlouf, Ghada.S. El-Tawel, M.E. WahedGel Electrophoresis (GE) are discussed as the main tool to dissociate DNA sequences. It helps in analyzing the genome such that each image resulting from it consists of lanes that include several bands. Image segmentation plays the foremost role in image processing. It helps in producing accurate results in medical diagnosis. Image segmentation works by dividing an image into regions … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 18 Jun 2016 · 8,092 accessesView PDFCite
Research ArticleOpen accessIn the keywords3-DIMENSIONAL EAR RECOGNITION BASED ITERATIVE CLOSEST POINT WITH STOCHASTIC CLUSTERING MATCHINGKhamiss Masaoud S. Algabary, Khairuddin Omar, Md Jan NordinEar recognition is a new technology and future trend for personal identification. However, the false detection rate and matching recognition are very challenging due to the ear complex geometry. The Scope of the study is to introduced a combination of Iterative Closest Point (ICP) and Stochastic Clustering Matching (SCM) algorithm for 3D ears matching based on biometrics field with a … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,812 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRadial Basis Function Network Dependent Exclusive Mutual Interpolation for Missing Value ImputationR. S. Somasundaram, R. NedunchezhianThe success of data mining relies on the purity of the data set. Before performing the data mining, the data has to be cleaned. An unprocessed data set may contain noisy or missing values which is a critical research issue in the pre-processing stage. Imputation methods are being used to solve the missing value problems. In this proposed work, a … …Journal of Computer Science, Vol. 9, Issue 3 · 24 Apr 2013 · 7,002 accessesView PDFCite