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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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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Market prices trend forecasting supported by Elliott Wave's theory
Published 2017“…The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. …”
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Parallel computation of maass cusp forms using mathematica
Published 2013“…We find that the parallel programming is about 5.75 times faster than the normal programming while its efficiency is capped at 0.443.…”
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Solving non-convex economic dispatch problem using computational intelligence technique
Published 2023Conference Paper -
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…Two techniques were developed. The first technique is to encode the logic programming in radial basis function neural networks. …”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…The prototype is constructed through software and hardware development and has been programmed using Arduino IDE software. …”
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Data mining in network traffic using fuzzy clustering
Published 2003“…The network traffic model is very important to know whether that particular network traffic is normal or abnormal. In this project, I have developed a program to capture and filter the packets based on the application. …”
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Data mining in network traffic using fuzzy clustering
Published 2003“…The network traffic model is very important to know whether that particular network traffic is normal or abnormal. In this project, I have developed a program to capture and filter the packets based on the application. …”
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Multi -Objective Economic Dispatch Using Evolutionary Programming
Published 2023“…The designated algorithm of MOEP used MATLAB to run the simulations. …”
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Agent-based extraction algorithm for computational problem solving
Published 2015“…Modeling Computational Problem Solving (CPS) is the main issue in teaching programming where the given text is needed to be transformed into a model then later into a programming language. …”
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