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49 articles for “sensitivity function”
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Research ArticleOpen accessPhrase in the titleParallel Calculation Sensitivity Function for Multi Tasking EnvironmentsHamed Al Rjoub, Ahmed Al-Sha'orProblem statement: Calculating sensitive functions for a large dimension control system to find the unknowns vectors for a linear system in both single and multi processors, is not considered internally compatible with multi tasking environments, so breaking the process can cost time and memory and it couldn't be paused, resumed and saved as patterns for later continuity. This study is … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Aug 2010 · 6,445 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCalculate Sensitivity Function Using Parallel AlgorithmH. A. RjoubProblem statement: To calculate sensitivity functions for a large dimension control system using one processor, it takes huge time to find the unknowns vectors for a linear system, which represents the mathematical model of the physical control system. This study is an attempt to solve the same problem in parallel to reduce the time factor needed and increase the efficiency. … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,743 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExploring the Relationship Between Skin Barrier Function, Sensitivity, and Repair MechanismsXiaoqing Yan, Yusong Shi, Jiguang YangFor healthy skin, the skin's barrier function must remain maintained. Many different molecular while immunological signaling mechanisms are involved in skin barrier control. The control of a healthy skin barrier, particularly acid mantle maintenance and proper amounts of ceramides, may help dermatologists develop remedies for skin barrier disruption disorders. In contrast, new medicines could focus on signaling pathways to offer … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 15 Feb 2026 · 1,893 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Study on the Increase of Numerical Stability and Accuracy of the Transfer Matrix MethodIoannis S. Zotos, Theodore N. CostopoulosProblem Statement: The transfer matrix method is a very useful tool for the static and dynamic analysis of structures. There are a number of issues though that worsens the numerical stability and the accuracy of this method. Approach: This study proposed a simple technique that can be used to handle these numerical difficulties and overcome the problems they give. Its … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,030 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss FunctionAmudha Gopalakrishnan, Nalini JosephAdversarial attacks in medical imaging refer to subtle modifications to images that mislead diagnostic systems, resulting in inaccurate diagnoses and assessments. These attacks exploit vulnerabilities in image processing, leading to misclassification or altered visual features that often go unnoticed. This raises serious concerns about the security and reliability of medical diagnosis, directly impacting clinical decision-making and patient safety. This research … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Networks and Contrast-Limited Adaptive Histogram Equalization Filter Based Early-Stage Breast Cancer Detection TechniquesAnitha Ponraj, Aroul CanessaneBreast cancer is one of the most common types of cancer that kills women. When cells become uncontrollably large, cancer develops. As a result, detecting and classifying breast cancer in its early stages is essential so that patients can take the appropriate precautions. On the other hand, mammography images have relatively low sensitivity and effectiveness in detecting breast cancer. Furthermore, … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,613 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,217 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Food Expenditures in Nigeria: A Case Study of Lafia, Nasarawa StateOlusola Collins Akeremale, Imam Akeyede, Ishaku Audu, Adekemi O. AkeremaleCurrently, the prices of commodities in Nigeria are consistently rising owing to several variables, including economic conditions, political influences, and technical progress. Consequently, the cost of essential items, including food, has risen significantly. Consequently, they often disregard nutritious dietary habits and fail to obtain adequate daily nutrients. This will lead to several repercussions, including diseases, disorders, and less vitality for … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 12 Feb 2026 · 2,525 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language ProcessingWalanstar Alimcan Sitorus, Evaristus Didik MadyatmadjaAssessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diversity continues to increase. This study proposes an analytical approach to detect the novelty of Indonesian academic research proposal titles by leveraging semantic similarity based on Natural Language Processing (NLP). The CRISP-DM framework is … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Aug 2026 · 1,067 accessesView PDFCite