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207 results for “Test Class”
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Research ArticleOpen accessIn the abstractRemote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning TechniquesMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariThis study investigates the classification of aerial images depicting transmission towers, forests, farmland, and mountains. To complete the classification job, features are extracted from input photos using a Convolutional Neural Network (CNN) architecture. Then, the images are classified using Softmax. To test the model, we ran it for ten epochs using a batch size of 90, the Adam optimizer, and … …Journal of Computer Science, Vol. 21, Issue 3 · 11 Feb 2025 · 10,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Risk of Diabetes using a Model based on Multilayer Perceptron and Features ExtractionFrancesca Fallucchi, Alessandro CabroniDiabetes (diabetes mellitus) is a disease emerging when a person has a high blood sugar level for a prolonged period. In the healthcare context, one of the most important topic is the prevention of the disease. This study relates to diabetes prevention. In particular, it aims to produce random generated datasets according to a rule named Finnish Diabetes Risk Score … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractHematologic Cancer Cell Detection and Classification Using Optimized VGG-19 with Stratified K-fold Cross-ValidationHema Patel, Himal Shah, Gayatri Patel, Atul PatelThe most prevalent pediatric blood malignancy is acute lymphoblastic leukemia (ALL). ALL is a lethal disease in which patients have a lower survival rate. Its prompt detection and precise categorization are essential for successful treatment. Manual microscopic diagnosis is laborious, prone to mistakes, and heavily reliant on specialized knowledge. With stratified 7-fold cross-validation, which assures an equal ratio of normal … …Journal of Computer Science, Vol. 21, Issue 11 · 24 Dec 2025 · 1,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Prediction Model for Predictive Maintenance Based on K-Nearest Neighbor Method for Air Navigation Equipment FacilitiesRachmat Hidayat, Ditdit Nugeraha UtamaThe aging of air navigation facilities leads to a decline in equipment performance and reliability, posing significant challenges for aviation organizations in the large-scale replacement of outdated systems, as well as in managing budgets and resources. To address these issues, a performance prediction model for equipment was developed using the K-Nearest Neighbor (KNN) method, aimed at enhancing maintenance planning and … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 5,653 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Biometrics Types: Literature ReviewMohammad Al Rousan, Benedetto IntrigilaThis study provides a thorough analysis of the various biometric types, including their advantages and disadvantages. It compares the different types and provides details about false acceptance and false rejection rates, along with their equations. Biometric screening systems are used to test and identify persons using their physiological or behavioral characteristics. Using only one recognition device is not suitable for … …Journal of Computer Science, Vol. 16, Issue 12 · 24 Dec 2020 · 9,003 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Antimicrobial Stewardship Program During COVID-19 Era: Cost Effectiveness and Mortality RatesSafaa Alkhiami, Anass Qasem, Hussein Mohamed Hussein, Ali AbdallaThe growing spread of antimicrobial resistance is a major problem on a global level that has provoked several health and government organizations to call for action to counteract the problem. The frequent misuse of antibiotics is prevalent within hospital settings, especially during the COVID-19 era. The introduction of antibiotic stewardship initiatives has demonstrated the capability to decrease both unwarranted antibiotic … …American Journal of Infectious Diseases, Vol. 19, Issue 4 · 30 Jan 2024 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractAge-Based Association of Glaucoma with the Prevalence of Diabetes and Hypertension at a National Hospital in SeoulSun Jung Lee, Tae Su Jang, Jae Kyung KimGlaucoma can have profound consequences on vision. Although diabetes and hypertension have been suggested as risk factors for glaucoma, their relevance in epidemiological studies remains controversial. Accordingly, we investigated whether diabetes and hypertension, as well as factors such as age and sex, affected the risk of glaucoma. From May 30, 2022, to June 24, 2022, 1152 patients were selected from … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 2 · 5 May 2023 · 5,263 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeasibility Analysis of Non-Preemptive Periodic Systems from Infeasibility PerspectiveNasro Min-AllahDue to simple implementation, non-preemptive scheduling has the advantage over preemptive counterpart when it comes to deployment of real-time systems. Accordingly, many feasibility techniques have been established to answer schedulability of the task set for non-preemptive case. The time complexity of exact condition for non-preemptive under dynamic priority assignment is of pseud-polynomial nature. Recently, efforts are made to decrease the … …Journal of Computer Science, Vol. 15, Issue 9 · 9 Sep 2019 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow-Homology Protein Structural Class Prediction from Secondary Structure Based on Visibility and Horizontal Visibility NetworkZhi-Qin Zhao, Liang Luo, Xiao-Yan LiuIn this study, based on the predicted secondary structures of proteins, we propose a new approach to predict protein structural classes (α,β,α/β,α+β) for three widely used low-homology data sets. Fist, we obtain two time siries from the chaos game representation of each predicted secondary structure; second, based on two time series, we construct visibility and horizontal visibility network, respectively and … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 1 · 12 Mar 2018 · 9,668 accessesView PDFCite