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45 results for “optimal impact”
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Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization Design of Sea Cucumber Cleaning Parameters by Water JetXu Zhang, Changyuan Zhang, Fei Gao et al.Aiming at the problem that the cleaning effect and surface integrity of the mechanical cleaning process cannot be solved simultaneously in the pretreatment of sea cucumber and according to the requirements of high efficiency, high quality and economy of sea cucumber body surface cleaning, a continuous directional cleaning device for sea cucumber abdomen and back based on the principle of … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating Stochastic Properties into Traffic Flow Modeling: A Stimulus-Response ApproachKonate N’Golo, Mark Kimathi, Emile DanhoHighway traffic congestion, characterized by its inherent instability, has been extensively studied using deterministic models, providing valuable insights. However, these models often overlook the stochastic nature of driver behavior, a key factor that significantly impacts traffic flow. Recognizing this, a car-following model with discretionary lane changes to analyze their effect on traffic dynamics was introduced. While the mathematical results were … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 19 Dec 2024 · 7,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractMMP-9 is a Potential Prognostic Marker of Left Ventricular Remodeling in Patients with Coronary Artery DiseaseMikhail Aleksandrovich Popov, Anastasia Vladimirovna Poznyak, Dmitry Valerievich Shumakov et al.Matrix Metalloproteinase-9 (MMP-9) emerges as a promising prognostic marker for assessing left ventricular remodeling in patients with coronary artery disease, particularly in the context of Ischemic Heart Disease (IHD) complicated by left ventricular aneurysm. In this study, we conducted two parallel investigations to explore the prognostic significance of MMP-9 in patients with multivessel coronary artery disease undergoing left ventricular reconstruction … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 11 Jul 2024 · 4,314 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidation of Global Financial Crisis on Bursa Malaysia Stocks Market Companies via Covariance StructureShamshuritawati Sharif, Suzilah Ismail, Zurni Omar, Low Huey ThengThe global financial crisis of 2007 to 2009 affects the economic development around the world. It started with US in 2007 and followed by Malaysia in 2008. The purpose of this study is to validate the impact before and beginning of the crisis on seventy seven Bursa Malaysia stocks market companies. Two data sets of 2007 and 2008 were used … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 27 Oct 2016 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling the Impact of Taxes on Economic Growth with Regional Resource PotentialOleg Tsepelev, Maria KakaulinaThis study deals with estimation problems for optimal tax burdens in relation to regional economic growth. Theoretical, methodological and empirical base of the research were the concept of the Laffer curve, the materials of the National Research University, Higher School of Economics of the Russian Federation, Ministry of Natural Resources and Environment of the Russian Federation, Federal Service of State … …American Journal of Applied Sciences, Vol. 12, Issue 5 · 7 Jul 2015 · 6,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating Renewable and Nonrenewable Energies in Power Plant PlanningHabib H. Al-Ali, Yousef Saif, Ali Elkamel, Ali LohiProblem statement: Electricity can be generated from different type of technologies such as fossil and non-fossil power plants. Among these technologies, coal-fired power plants have been a major route for electricity generation. Recently, environmental constraints were imposed over the coal power plant operations in order to reduce their emissions. Besides, renewable energy power plants such as hydroelectric, wind, solar and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractSensitivity Analysis of an Optimal Access Road Location in HillyForest Area: A GIS ApproachMohd I. Hasmadi, J.C. TaylorThere are various models for establishing the efficient forest road allocation and evaluating optimum density of forest roads network for the transport of timber commodity. Most of them are based on the calculation of common timber transport costs and costs for forest roads. Today, forest road design from traditional method continues to be transformed by remote sensing technology and advancement … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 7,612 accessesView PDFCite
Review ArticleOpen accessIn the abstractDetection of Phishing Websites Hosted in Name Server Flux Networks Using Machine LearningThomas NagunwaAttackers are increasingly using Name Server IP Flux Networks (NSIFNs) to run the domain name services of their phishing websites in order to extend the duration of their phishing operations. These networks host a name server that manages the Domain Name System (DNS) records of the websites on a network of compromised machines with frequently changing IP addresses. As a … …Journal of Computer Science, Vol. 20, Issue 1 · 12 Dec 2023 · 5,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractCybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine LearningCheikhane Seyed, MBaye Kebe, Mohamed El Moustapha El Arby et al.This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the … …Journal of Computer Science, Vol. 20, Issue 1 · 11 Dec 2023 · 6,186 accessesView PDFCite