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141
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Published 2022“…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…”
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142
Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …”
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143
Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …”
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144
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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masterThesis -
145
VEGAWES: variational segmentation on whole exome sequencing for copy number detection
Published 2015“…VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …”
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146
The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…Recent advances in algorithm design have shown a growing interest in seeking exact solutions to many hard problems. …”
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147
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148
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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149
An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …”
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150
Efficient XML Structural Similarity Detection using Sub-tree Commonalities
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g. …”
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151
A heuristics for HTTP traffic identification in measuring user dissimilarity
Published 2020“…The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. …”
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152
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …”
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153
Growing hierarchical self-organizing map for filtering intrusion detection alarms
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154
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155
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
Published 2022“…Implications are that toxicity trigger detection algorithms can leverage generic approaches but must also tailor detections to specific communities.…”
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156
The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers
Published 2021“…An evaporatively-cooled façade system, composed of a Photovoltaic thermal (PVT), evaporative cooler, and evaporatively-cooled façade, was previously developed. …”
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157
Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring
Published 2024“…Leveraging the capabilities of this open-source home automation platform, we have developed a sophisticated system for providing real-time <u>energy consumption data</u>, personalized energy-saving recommendations, and a data-driven occupancy detection mechanism. …”
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158
BioNetApp: An interactive visual data analysis platform for molecular expressions
Published 2019“…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…”
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159
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160
Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded
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doctoralThesis