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developing based » developing a (Expand Search), developing 21st (Expand Search)
colon algorithm » colony algorithm (Expand Search), cosine algorithm (Expand Search), carlo algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
developing based » developing a (Expand Search), developing 21st (Expand Search)
colon algorithm » colony algorithm (Expand Search), cosine algorithm (Expand Search), carlo algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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Multilayer perceptron-based DFE with lattice structure
Published 2001“…The adaptive lattice algorithm is a modification to the one developed by Ling and Proakis (1985). …”
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Multilayer perceptron-based DFE with lattice structure
Published 2001“…The adaptive lattice algorithm is a modification to the one developed by Ling and Proakis (1985). …”
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Anomaly Detection Based Framework for Profile Monitoring
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doctoralThesis -
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Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends
Published 2024“…The k-fold cross-validation technique is used for model training, and the developed neural network-based model is used to investigate the effects of operating parameters on the premixed turbulent flames. …”
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
Published 2023“…The complex gas hydrate prevention unit is simulated using the MLPNN model trained by 20 different optimization algorithms. This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. …”
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Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms
Published 2018“…Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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Indoor Localization Based on Floor Plans and Power Maps
Published 2015“…An indoor localization algorithm that is based on fingerprinting and trilateration is developed. …”
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Severity-Based Prioritized Processing of Packets with Application in VANETs
Published 2019“…We thus develop a real-time heuristic that utilizes a relaxed version of the formulation. …”
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Autonomous Robot Navigation Based On Recurrent Neural Networks
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Improving Rule Set Based Software Quality Prediction
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…Lastly, we provide public access to the generated datasets to facilitate bench-marking of new feature selection algorithms in the field via our Github repository. The contributions of this paper aim to foster the development of novel feature selection algorithms and advance their study.…”
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Efficient Approximate Conformance Checking Using Trie Data Structures
Published 2021“…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …”
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