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150 articles for “Computer Methods”
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Research ArticleOpen accessIn the abstractDifferSqueezeNet: A Leaner Defect Detection ModelJose Joao Manrique Franco, Marcelo RudekIn the industrial environment, the inherent limitations of manual inspection have caused the ascent of automated computer vision systems that aim to match or surpass human performance. In this context, the artificial intelligence field has been interested in defect detection with the creation of many machine learning techniques, focusing on Unsupervised and Semi-supervised learning methods. Since most of these methods … …Journal of Computer Science, Vol. 21, Issue 3 · 4 Feb 2025 · 5,734 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 1,011 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Boar Epididymal Sperm Preservation: Comparative Analysis of Slicing Float-Up vs. Flushing and BTS vs. Andromed® Extenders on Sperm Motility and Morphometry TraitsMamonene Angelinah Thema, Ntuthuko Raphael Mkhize, Gerhard van der Horst et al.Epididymal sperm collection represents a valuable strategy for preserving genetics from deceased or castrated boars of superior breeding value. The two primary collection methods-slicing float-up (high sperm yield) and flushing (low blood contamination risk)-differ in sperm recovery efficiency, while semen extenders provide cryoprotective nutrients that protect against cold shock during preservation. This study compared the effects of slicing float-up versus … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 14 Mar 2026 · 1,800 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT ImagesMajzoob Kamalaldin Omer AbdalrahmanLiver cancer is one of the leading causes of mortality worldwide, and early detection using CT imaging plays a critical role in patient survival. However, the quality of CT scans is often degraded by noise, particularly in low-dose imaging intended to minimize radiation exposure. This study presents a comprehensive comparison of three multiresolution transform techniques, namely the wavelet, curvelet, and … …Journal of Computer Science, Vol. 22, Issue 1 · 4 Feb 2026 · 2,124 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnleashing the Power of Image Denoising: A Comprehensive Review of Classical to Deep Learning MethodsArchana Saini, Ayush DograImage denoising is a vital step in many image processing and computer vision professions that aims to improve picture quality by decreasing noise while maintaining important image information. In this article, a detailed overview is presented of traditional and deep learning based picture denoising approaches. Classical methods, such as linear filtering, transform domain techniques, and patch-based approaches like Non-Local Means … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 3,114 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Preprocessing Technique in the Computer Aided Detection of Breast CancerSenthilkumar Balasubramaniam, Umamaheswari GovindaswamyAnalyzing medical images is the most challenging task in medical image processing. Computer Aided Detection (CAD) tool is the aid for the radiologists in analyzing such images for the effective detection and diagnosis of the disease. Such a CAD tool consists of Preprocessing, Segmentation and detection processes. In this study we have improved the preprocessing by using the Selective Median … …Journal of Computer Science, Vol. 8, Issue 12 · 8 Nov 2012 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Computer Use in Science and Technology Lesson on Success and Attitude TowardsCem O. Guzeller, Mustafa DogruProblem statement: Computer being indispensable in our daily lives came into use in all fields of education. Use of computer for education activities became mandatory. This research is an experimental research performed by use of computer in science and technology and is important in terms of serving science education. General purpose of this research is to reveal the effect of … …Journal of Social Sciences, Vol. 7, Issue 4 · 10 Aug 2011 · 10,039 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdopting Hadith Verification Techniques in to Digital Evidence AuthenticationYunus Yusoff, Roslan Ismail, Zainuddin HassanProblem statement: The needs of computer forensics investigators have been directly influenced by the increasing number of crimes performed using computers. It is the responsibility of the investigator to ascertain the authenticity of the collected digital evidence. Without proper classification of digital evidence, the computer forensics investigator may ended up investigating using untrusted digital evidence and ultimately cannot be use … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 8,024 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn "Expert System" For Stereoscopic 3D Visualization (with out the Application of Conventional Attachments to the Eyes) of Computer Acquired and Computer Generated StereopairsN. Sandya Rani, V. Vaithya NathanProblem statement: Though stereoscopic 3D visualization technology has made considerable progress, it was always associated with eye attachments, like wearing color glasses, wearing Polaroid glasses, using timed shutters. Approach: This has considerably retarded the popularity of 3D visualization technology. Though there are discrete references in the literature for developing stereoscopic 3D visualization without application of glasses, these methods involve transferring … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,904 accessesView PDFCite