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A new algorithm to measure relevance among Web pages
Published 2006“…This paper proposes a new algorithm to measure relevance among Web pages (RWP) using a hybrid method of hyperlink analysis and content analysis. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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Design and implementation of cordic algorithm with sinusoidal pulse width modulation switching strategy
Published 2017“…In addition, CORDIC algorithm has a low usage of memory space compared to Look Up table (LUT) technique. …”
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A new ant based rule extraction algorithm for web classification
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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
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Market prices trend forecasting supported by Elliott Wave's theory
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Web cluster load balancing via genetic-fuzzy based algorithm
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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…As a result, it is more suitable and harder to identify demands in all applications. …”
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Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes
Published 2013“…This research is to propose a new efficient DNS-based load balancing algorithms that can solve a sudden increase of demand for service requests when they are applied to a local Domain Name Service (DNS) server for Web based applications and selected services. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
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Towards cross-site scripting vulnerability detection in mobile web applications
Published 2018“…Cross-site scripting vulnerabilities are among the top ten security vulnerabilities affecting web applications for the past decade and mobile version web applications more recently. …”
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