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1
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
Published 2015Subjects: Get full text
doctoralThesis -
2
Computational Experience On Four Algorithms For The Hard Clustering Problem
Published 2020“…We test these algorithms on several clustering problems from the literature as well as several random problems and we report on our computational experience.…”
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Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines
Published 2016Subjects: Get full text
doctoralThesis -
4
Tensile Test Optimization Using the Design of Experiment and Soft Computing
Published 2023“…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
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Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
Published 2023“…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
doctoralThesis -
8
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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conferenceObject -
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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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Topics in graph algorithms
Published 2003“…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …”
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masterThesis -
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Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
Published 2023Subjects: Get full text
doctoralThesis -
12
Deep learning-based user experience evaluation in distance learning
Published 2023“…The conducted experiments demonstrate the proposed model achieved an overall accuracy of 76%. …”
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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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Large language models for code completion: A systematic literature review
Published 2024“…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …”
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Kernelization algorithms for the vertex cover problem
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conferenceObject -
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient. A series of experiments are performed to evaluate the efficiency of the algorithms. …”
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A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM
Published 2020“…The global minimum solution of the problem is found using a simulated annealing-based algorithm. Some preliminary computational experiments are reported and the solution is compared with that generated by the Fuzzy C-means algorithm.…”
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Artificial neural network algorithms. (c1999)
Published 1999Get full text
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masterThesis -
20
Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data
Published 2024“…In today's evolving educational arena, Adaptive learning experiences to individual needs has become a focal point. …”
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