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54 articles for “Data Preparation”
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Research ArticleOpen accessIn the abstractTransfer Learning-Driven Binary Classification of Chest X-ray for Pneumonia Using Deep Convolutional ArchitecturesNusrath Fathima, Pradeep KumarPneumonia is the most common infectious cause of lung inflammation, resulting from the presence of viruses or bacteria in the microscopic air sacs. In recent years, artificial intelligence, particularly deep learning, has gained significant traction in the field of medical imaging. Early detection and diagnosis of pneumonia using chest X-rays can support radiologists in clinical decision-making and subsequent treatment planning, … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning-Based Technique to Detect SQL Injection AttackMuhammad Amirulluqman Azman, Mohd Fadzli Marhusin, Rossilawati SulaimanLack of secure codes implemented in the web apps will lead to cyber-attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training … …Journal of Computer Science, Vol. 17, Issue 3 · 27 Mar 2021 · 8,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Endoscopic Image Semantic Segmentation for Efficient Polyp IdentificationM. Al-AsliThe advancement of endoscopic procedures has significantly enhanced diagnostic capabilities in polyp identification and removal, which is critical for colorectal cancer prevention. However, the success of these procedures hinges on the accuracy and speed of real-time image analysis. Traditional image processing methods often fail to provide timely and precise segmentation of endoscopic images. This paper presents the implementation of endoscopic … …Journal of Computer Science, Vol. 21, Issue 10 · 10 Dec 2025 · 2,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractTreatment of Chronic Fascioliasis in Cattle with Gelmicidum and FascocidumRinat T. Safiullin, Alexander M. Ustinov, Radmir R. Safiullin et al.Scientific and field trials have shown a high intensity of Fasciola hepatica infection in cattle, the recommended dose of the complex preparation of Gelmicidum 7.5 g for every 100 kg of body weight is once inwardly provided extensity of efficacy of 80%, intensity of efficacy of 83.8%. In this case, it was quite justified to increase the therapeutic dose of … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 2 · 24 Jun 2019 · 7,297 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Temporal Sentinel-2 Images for Classification AccuracyYuhendra, Eva YuliantiThe term ‘multi-temporal’ refers to data recorded by sensors scanning the same scene at different dates and times. In this research, Sentinel-2A images were selected for the analyses. Sentinel-2 is a very new program of the European Space Agency (ESA) designed for fine spatial resolution global monitoring. Land Cover–Land Use (LCLU) classification tasks can take advantage of the fusion of … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite
Review ArticleOpen accessIn the abstractChallenges of Breast Cancer Detection Based on Histopathology ImagesAlaa Mohamed Youssef, Aliaa Abdel-Haleim Abdel-Razik Youssif, Wessam El BehaidyArtificial Intelligence (AI) is rapidly evolving every day to become increasingly potent and dependable. AI systems are becoming more sophisticated and are being utilized across various domains with the goal of enhancing human existence. Within the healthcare system, artificial intelligence finds application in handling and documenting large volumes of medical data, conducting analyses of healthcare systems, advancing pharmaceutical development, and … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 4,942 accessesView PDFCite
CorrigendumOpen accessIn the abstractCorrigendum: Prevalence and Histopathologic Analyses of Mammary Tumors in Female Dogs in the Northeast of AlgeriaZahra Gabli, Leila Beddar, Amir Agabou et al.Correction to: OnLine Journal of Biological Sciences http://doi.org/10.3844/ojbsci.2017.166.177, published online 26 September 2017; updated 10 April 2018 The original version on this Article did not include Dr. Amir Agabou as a Co-Author. In addition, the Author's Contribution section has been updated to the following. Zahra Gabli: This work was carried out in collaboration between all authors. The first author assisted … …OnLine Journal of Biological Sciences, Vol. 18, Issue 1 · 11 Apr 2018 · 7,995 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Strains of Beauveria Bassiana and B. Pseudobassiana used Against the Asian Locust (Locusta Migratoria L.) in KazakhstanUlzhalgas T. Zhumataуeva, Bakhytzhan A. Duissembekov, Yerlan Dutbayev et al.The purpose of the study was to perform genetic identification of the strains of fungi of the Beauveria genus and evaluate the effect of abiotic factors on the growth and survival of colonies and the productivity of conidia of these fungi, as well as to determine the biological effectiveness of the semi-preparative form of the drug based on Beauveria bassiana … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 22 Nov 2022 · 5,702 accessesView PDFCite