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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
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CNN and HEVC Video Coding Features for Static Video Summarization
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Video features with impact on user quality of experience
Published 2021“…One of the major challenges in wireless networks is to quantify and evaluate the user quality of experience (QoE). Hence, network operators are continuously working towards identifying the factors that most affect the user quality of experience for better network resource management. …”
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Web Based Online Hybrid Teaching Method of Network Music Course
Published 2022“…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …”
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Deep learning-based user experience evaluation in distance learning
Published 2023“…<div><p>The Covid-19 pandemic caused uncertainties in many different organizations, institutions gained experience in remote working and showed that high-quality distance education is a crucial component in higher education. …”
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Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023“…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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Artificial neural network algorithms. (c1999)
Published 1999Get full text
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A novel linear time corner detection algorithm
Published 2005“…The experiments show that this method leads to good quality results and robustness to noise with low computational cost.…”
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A hybrid graph representation for exact graph algorithms
Published 2014“…Experiments on three well studied problems show consistent significant improvements over classical methods.…”
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Burst Round Robin as a Proportional-Share Scheduling Algorithm
Published 2020“…We present a novel weight adjustment for processes that are blocked for I/O and lose some CPU time to assure proportional fairness. Experiments on the implemented simulator showed that quickly knocking away shortest processes achieves better turnaround time, waiting time, and response time. …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
Published 2022Get full text
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
Published 1997“…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …”
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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
Published 2013Get full text
doctoralThesis