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194 results for “Computer network”
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Research ArticleOpen accessIn the keywordsClassifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning ApproachMd Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur RahmanClassification of skull fracture is a challenging task for both radiologists and researchers. Skull fractures result in broken pieces of bone, which can cut into the brain and cause bleeding and other injury types. So it is vital to detect and classify the fracture very early. In real world, often fractures occur at multiple sites. This makes it harder to … …Journal of Computer Science, Vol. 18, Issue 3 · 15 Mar 2022 · 9,005 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN APPROACH TO MITIGATE DENIAL OF SERVICE ATTACKS IN IEEE 802.11 NETWORKSAdriano Cesar Ribeiro, Alex Roschildt Pinto, Geraldo Francisco Donega Zafalon et al.Wireless networks are widely deployed and have many uses, for example in critical embedded systems. The applications of this kind of network meets the common needs of most embedded systems and addressing the particularities of each scenario, such as limitations of computing resources and energy supply. Problems such as denial of service attacks are common place and cause great inconvenience. … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 8,621 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAssessing Information Security Vulnerabilities and Threats to Implementing Security Mechanism and Security Policy AuditMohammed A.M. AfifiIn spite of the massive investment of money, time and efforts an organization devotes to growth and enhancement with continuous improvements of a sound information security strategy, the human factor is ultimately and eventually the one behind the keyboard. As a result, human beings remain the most vulnerable and weakest entity in the information security chain. A negligent and irresponsible … …Journal of Computer Science, Vol. 16, Issue 3 · 20 Mar 2020 · 7,893 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPsoriasis Detection Using Skin Color and Texture FeaturesNidhal K. El Abbadi, Nizar Saadi Dahir, Muhsin A. AL-Dhalimi, Hind RestomProblem statement: In this study a skin disease diagnosis system was developed and tested. The system was used for diagnosis of psoriases skin disease. Approach: Present study relied on both skin color and texture features (features derives from the GLCM) to give a better and more efficient recognition accuracy of skin diseases. We used feed forward neural networks to classify … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 8,290 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Approach for Security Information Retrieval by Using GridHameed Ullah KhanProblem statement: This article communicated an approach for determining the exact location/position of the target(s) (human) by applying Grid (matrix) method. Approach: The Main-Grid in-return further grouped into Mini-Grids; which will provide the target(s) information. To accomplish this idea the whole scenario is divided into three phases. Results: In the first phase data is collected from the targeted area, in … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,952 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,427 accessesView PDFCite