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An unsupervised approach to COVID-19 fake tweet detection
Published 2024“…The methodology includes a literature review, experimental analysis, and the utilization of a Twitter dataset. Methods: The study used both Mini-Batch K-means and K-means algorithms of clustering techniques to provide us with ‘grouping' of Twitter data in the two of clusters. …”
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Analysis of RED packet loss performance in a simulated IP WAN
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Rethinking electrical water heaters
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Spectral efficiency optimization with channel state information of a massive MIMO System
Published 2023“…To optimize the spectral efficiency of imperfect CSI, an algorithm called penalty dual decomposition (PDD) is proposed for these problems. …”
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SDN-Enabled Data Offloading and Load Balancing In WLAN and Cellular Networks
Published 2023“…This dissertation proposes a traffic offloading and load balancing algorithm between cellular and Wi-Fi networks, to enhance the overall utilization of cellular network. …”
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Engineering Nature-Inspired Heuristics for the Open Shortest Path First Weight Setting Problem
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Correlation and distribution analyses of estimated fractal dimensions and husrt's exponent from waveforms of excited non linear pendulum
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The analysis of distributed resources on a load sharing reticulation network
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Evaluating FFT Implementations Developed for use on FPGA Hardware
Published 2024“…The Fast Fourier Transform (FFT) is an important algorithm within the field of radio astronomy, where it is used as a key processing component in the digital signal processing (DSP) backends of radio spectrometers. …”
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A framework for fine-grain synthesis optimization of operational amplifiers
Published 2015“…Therefore a fast algorithm is needed to generate sequence pairs after each solution perturbation. …”
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SHORELINE DYNAMICS OF SOUTH AFRICA USING SATELLITE IMAGERY
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Aggregated service consolidation by multi-server virtualization
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Multi-criteria inventory optimisation of University of Ibadan, Ibadan, Nigeria’s bakery using goal programming approach and flour as the major raw-material
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Variable selection for kernel methods with application to binary classification
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Efficient spectrum use in cognitive radio networks using dynamic spectrum management
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AI-based hybrid optimisation of multi-megawatt scale permanent magnet synchronous generators for offshore wind energy capture
Published 2020“…The initial stage (STAGE I) of the hybrid optimisation utilised the DE algorithm. The objective function was set to reduce the initial cost (!"…”
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The development of an on-chip-metering solution
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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems
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