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152 articles for “network optimization”
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EditorialOpen accessIn the abstractRECENT TRENDS AND CHALLENGES OF ENERGY EFFICIENT AND SUSTAINABLE BUILDINGSChiara BedonAccording to several studies (e.g., the Intergovernmental Panel on Climate Change (IPCC, 2014), the US Energy Information Administration (US EIA, 2014), warming of the climate system is unequivocal and mainly derives from greenhouse gas emissions due to human activities. Global Carbon Dioxide (CO2) emissions from fossil fuels, for example, are estimated to be 29% higher in 2035 than they were … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 3 · 11 Sep 2014 · 8,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 2-12 GHz Low Noise Amplifier Design for Ultra Wide Band ApplicationsV. Vaithianathan, J. Raja, R. SrinivasanProblem statement: The Low Noise Amplifier (LNA) is a core block of an Ultra Wide Band (UWB) receiver since it amplifies a very weak signal received at the antenna to acceptable levels while introducing less self-generated noise and distortions. The LNA design poses a unique challenge as it requires simultaneous optimization of various performance parameters like power gain, input matching, … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 9 Jun 2012 · 7,400 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of a New Network-enabled Solver for the Assignment Problem in Computer-aided EducationAndreou Dimitrios, Paparrizos Konstantinos, Samaras Nikolaos, Sifaleras AngeloThis study present a new learning tool developed for the visualization of an algorithm for the assignment problem. We show how the teaching of an algorithm can be greatly enhanced and the tutor's effort decreased with a visualization tool that provides an interactive and animated view of the subject being taught to the students. This tool makes use of the … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,041 accessesView PDFCite
EditorialOpen accessIn the abstractNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractMACHINE LEARNING APPROACHES IN IMPROVING SERVICE LEVEL AGREEMENT-BASED ADMISSION CONTROL FOR A SOFTWARE-AS-A-SERVICE PROVIDER IN CLOUDR. S. Mohana, P. ThangarajSoftware as a Service (SaaS) offers reliable access to software applications to the end users over the Internet without direct investment in infrastructure and software. SaaS providers utilize resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider in order to serve their customers. Internal hosting can ample cost of administration and maintenance … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,959 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Resource and Cost Management Scheme for Computational GridsV. K. Manavalasundaram, K. DuraiswamyProblem statement: Autonomous decision making and resource scheduling are the main objectives of market-life computational grid. Resource providers and consumers make the scheduling decisions with cost and incentive factors. The two objectives are to maximize the success rate of job execution and to minimize fairness deviation among resources. The challenge is to develop a grid-scheduling scheme that enables individual participants … …Journal of Computer Science, Vol. 8, Issue 4 · 7 Feb 2012 · 6,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractWideband E-Shaped Microstrip Antenna for Wireless Sensor NetworksG. Elangovan, J. Rajapaul PerinbamProblem statement: Wireless Sensor Networks (WSN) is currently receiving significant attention due to their unlimited potential. It is still very early in the lifetime of such systems and many research challenges exist, out of which one of the challenges is sensor processing and fusion under limited capacities, the most important component in sensor is its TX/RX antenna. Approach: For high-speed … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,109 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Routing Algorithm for Ad hoc Mobile NetworksHamed S. Al-BdourThis research has examined the issues of routing in multi-hop wireless networks of mobile nodes without the need for any existing network infrastructure or administration. This is called ad hoc. The key point of this research article are selecting routing protocols which adapts quickly to routing changes when host movement is frequent, yet requires little or no overhead during periods … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,698 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,295 accessesView PDFCite