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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
Published 2015Get full text
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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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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“…Recently, the use of basalt fiber reinforced concrete (BFRC) reinforced with BFRP bars was investigated to achieve a reasonable level of ductility in BFRC-BFRP one-way slabs. …”
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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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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
doctoralThesis -
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A novel linear time corner detection algorithm
Published 2005“…We have presented a novel scheme for detecting corners of a planner object SRM05. …”
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A hybrid graph representation for exact graph algorithms
Published 2014“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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A new approach to record clustering for large databases. (c1997)
Published 1997Get full text
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12
Video features with impact on user quality of experience
Published 2021“…This paper proposes an evaluation method for video features with impact on user quality of experience. The goal is to extract and sort the features that highly affect the user experience and satisfaction while watching a video. …”
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Burst Round Robin as a Proportional-Share Scheduling Algorithm
Published 2020“…In this paper we introduce Burst Round Robin, a proportional-share scheduling algorithm as an attempt to combine the low scheduling overhead of round robin algorithms and favor shortest jobs. …”
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Topics in graph algorithms
Published 2003“…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. The main challenge has usually been the design of polynomial time algorithms for NP-complete problems in a way that guarantees some, often worst-case, satisfactory performance when compared to exact (optimal) solutions. …”
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Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
Published 2023Get full text
doctoralThesis -
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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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An enhanced k-means clustering algorithm for pattern discovery in healthcare data
Published 2015“…Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023“…Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …”
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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. …”