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215 articles for “Time decision”
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Research ArticleOpen accessIn the abstractA Q-Routing Protocol Using Self-Aware Approach for Mobile Ad hoc NetworksAmal Alharbi, Abdullah Al-Dhalaan, Miznah Al-RodhaanMobile Ad hoc Networks (MANET) are self-organized networks that are characterized by dynamic topologies in time and space. This creates an instable environment, where classical routing approaches cannot achieve high performance. Thus, adaptive routing is necessary to handle the challenges in MANETs. Furthermore, it is necessary for nodes to be self-aware i.e., able to discover neighbors, links and paths when … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 7 Dec 2015 · 6,468 accessesView PDFCite
Review ArticleOpen accessIn the abstractBig Data Driven Supply Chain Management and Business AdministrationLidong Wang, Cheryl Ann AlexanderBig Data helps improve visibility throughout the supply chain, provides an integrated view of operational performance and customer interaction and gives businesses real-time insights that help make critical decisions. Big Data also has a potential to yield new management principles. This paper introduces the Big Data concept, its characteristics and some major issues of Big Data in supply chain management … …American Journal of Economics and Business Administration, Vol. 7, Issue 2 · 20 Jun 2015 · 8,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractDYNAMIC PRICING WITH UPDATED DEMAND FOR THE SPORTS AND ENTERTAINMENT TICKET INDUSTRYNaragain Phumchusri, Julie L. SwannRevenue Management (RM) helped increase profitability for many travel industries. Selling perishable products with a fixed event date, the Sports and Entertainment (S&E) ticket industry can potentially benefit from RM ideas but has received less attention in the literature. In this study we develop dynamic pricing models for stochastic S&E demand in a discrete finite time setting, where demand depends … …Journal of Computer Science, Vol. 10, Issue 11 · 19 Dec 2014 · 9,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractPSYCHOLOGICAL INTERVENTION INCLUDING EMOTIONAL FREEDOM TECHNIQUES FOR AN ADULT WITH MOTOR VEHICLE ACCIDENT RELATED POSTTRAUMATIC STRESS DISORDER: A CASE STUDYTerri SheldonPosttraumatic Stress Disorder (PTSD) is a significant public health concern and can have long-term emotional, social and financial consequences for individuals and society. Lifetime prevalence in the general population is estimated at 8% and rates of exposure to Post-Traumatic Events (PTE) indicate approximately 50 to 65% have been exposed to at least one PTE in their lives. This indicates that … …Current Research in Psychology, Vol. 5, Issue 1 · 18 Jul 2014 · 11,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Explanatory Variables of Outward Foreign Direct Investment: Panel EvidenceNicholas Apergis, Dimitrios Asteriou, Kalliroi PapathomaAlong with the traditional macroeconomic determinants of FDI, additional explanatory variables, such as the exchange rates, should be encountered in undertaking physical investment decisions, as these variables affect several comparative costs and the cost of lending. The goal of this study is to examine for the first time panel data evidence of Greek outward FDI flows directed to 16 EU … …American Journal of Economics and Business Administration, Vol. 4, Issue 4 · 6 Jul 2013 · 7,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy System to Authenticate Assisted Living Patients in Their Home EnvironmentMohanavalli Seetha Subramanian, Sheila AnandPatient identity verification is a critical requirement for a remote patient monitoring environment. The health of the patient is monitored and crucial medical decisions are taken based on the physiological data collected from the patient using sensors and sent to distant health care centers or hospitals for real-time monitoring. Therefore it is of utmost importance to associate the received data … …Journal of Computer Science, Vol. 9, Issue 5 · 18 May 2013 · 6,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractFault Tolerant Control Using Proportional-Integral-Derivative Controller Tuned by Genetic AlgorithmS. Kanthalakshmi, V. ManikandanProblem statement: The growing demand for reliability, maintainability and survivability in industrial processes has drawn significant research in fault detection and fault tolerant control domain. A fault is usually defined as an unexpected change in a system, such as component malfunction and variations in operating condition, which tends to degrade the overall system performance. The purpose of fault detection is … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractApproximation of Aggregate Losses Using SimulationMohamed Amraja Mohamed, Ahmad Mahir Razali, Noriszura IsmailProblem statement: The modeling of aggregate losses is one of the main objectives in actuarial theory and practice, especially in the process of making important business decisions regarding various aspects of insurance contracts. The aggregate losses over a fixed time period is often modeled by mixing the distributions of loss frequency and severity, whereby the distribution resulted from this approach … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,670 accessesView PDFCite
Research ArticleOpen accessIn the abstractMountain Sheep: An Environmental Epidemiological Survey of Variation in Metal Exposure and Physiological Biomarkers Following Mine DevelopmentLawrence K. Duffy, Michael W. Oehler, R. Terry Bowyer, Vernon C. BleichProblem Statement: Anthropogenic activities, such as mining and industrial operations, are a major environmental source of metal exposure for wildlife. Quantitative data regarding biochemical effects of exposure to mineral extraction on mountain sheep, Ovis canadensis, are limited, although their habitats are becoming increasingly affected by expanded resource development. Decisions relating to environmental protection and wildlife conservation should be based on … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 6,656 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparative 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