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56 articles for “prevention model”
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Research ArticleOpen accessEvery word in the titleThe Effect of Zinc and "Health Belief Model" Based Education on Common Cold Prevention in SoldiersArash Pooya, Ahmad Mahmoudian, Mohamad Mahdi Hazavei et al.The purpose of this study was to determine the effect of "Zinc" and "Health Belief model" based education on viral upper respiratory tract infections in soldiers in Isfahan - 2004 - 2005. It was a double - blinded randomized controlled trial, which was done among a group of soldiers by census. Soldiers were randomly divided into four groups. On the … …American Journal of Infectious Diseases, Vol. 2, Issue 4 · 31 Dec 2006 · 6,350 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRisk Factors to Alcohol Law Violations in the Community: Quasi-Experimental StudyWuttiphong Phakdeekul, Pramote Thongkrajai, Peem Eiamprapai, Manop KanatoProblem statement: Alcohol-related health problems such as chronic and acute diseases, accidents/injuries and social problems are well recognized. Although many countries including Thailand enact laws to control alcohol problems, missing data in Thailand cannot reveal efficacy of law enforcement and compliance with the public. The aim of this study was to investigate the proportion of Thai people violating alcohol laws … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,239 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Development of Community Crime Preventing Network Model in Northeastern ThailandCheuchai Po-Klin, Songkoon Chantachon, Somchai WanluProblem statement: Crime is the thing deteriorating social security. The objectives of this research were to study: (1) the historical background for preventing crime in northeastern region, (2) current situation and problem of community network for preventing crime in northeastern region and (3) develop the model of community network for preventing crime in northeastern region. Approach: The research area included … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 8,182 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmploying Hybrid Serial Cascaded Adaptive Network for Anomaly Detection and Prevention in IoT Time Series Data With Optimal Interdomain RoutingKante Satyanarayana, K. VenkateshNowadays, emerging Internet of Things (IoT) in data processing becomes interested research topic and is used for various applications. This varies from big data processing and analytics for accumulating entire sensor data to detect and generate long-term trends. Nevertheless, this results in the requirement for resources like the execution of power, memory, and bandwidth, in which resource-constrained IoT tools suffers … …Journal of Computer Science, Vol. 22, Issue 1 · 21 Feb 2026 · 1,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Control of a Malaria Transmission Model with Saturated IncidencePerpetual Appiah, Henry Amankwah, Francis BenyahWe present a vector-host deterministic model for the transmission and control of malaria, using prevention and treatment as controls. A novel addition to our model is a new prevention function that highlights the role of prevention in reducing vector populations; an essential arsenal in the fight against malaria. Another innovation is the use of a novel treatment function, which reflects … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 29 Feb 2024 · 5,897 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,351 accessesView PDFCite
Research ArticleOpen accessIn the abstractDengue Fever Prediction Empowered by Radial Basis Function Networks, Dynamic Mode Decomposition, and Learning-Based Foraging AlgorithmArchana T, Faritha Banu JDengue fever is presently considered a major health threat that must be addressed. External and internal factors that induce nonlinear oscillations in the occurrence of dengue disease have made optimal resource allocation stimulating. Public health initiatives aimed at eradicating this vector use accurate and timely data through field processes. In dengue-endemic nations, early dengue prediction remains a main concern for … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Analytics for the Cyber Security of an Information System Based on a Markov Decision Process ModelLidong Wang, Randy Jones, Terril C. FallsIntrusion detection is an important research topic in information systems and cyber security. Both a defender and an attacker detect and learn about each other during an intrusion process. The defender can expel the attacker as soon as the attacker is detected or wait and observe to know more about the attacker for the detection and prevention of other attacks … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 4 · 7 Dec 2022 · 5,437 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 · 2,407 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 · 6,588 accessesView PDFCite