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models algorithm » mould algorithm (Expand Search), deer algorithm (Expand Search)
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models algorithm » mould algorithm (Expand Search), deer algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
per algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search), search algorithm (Expand Search)
based models » based modeling (Expand Search)
element per » elementi per (Expand Search)
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The proposed simulated model can find the most relevant sensor(s) capable of generating the best quality tracks based on weighted distance criteria (Euclidean and Mahalanobis ). …”
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Modeling, testing, and regression testing of web applications. (c2006)
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masterThesis -
224
UML-based regression testing for OO software
Published 2010“…When working with large and complex object-oriented systems, source code-based regression testing is usually costly. This paper proposes a programming-language-independent technique for regression test selection for object-oriented software based on Unified Modeling Language (UML 2.0) design diagrams. …”
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225
Iterative Methods for the Solution of a Steady State Biofilter Model
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doctoralThesis -
226
Improving Rule Set Based Software Quality Prediction
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227
Modélisation et validation des modèles de véhicules hybrides
Published 2009“…Ensuite, une analyse approfondie du GMP série/parallèle est réalisée: étude de cas de la Prius. Un modèle et une validation expérimentale du GMP Toyota Hybrid System (THS-II) sont élaborés. …”
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masterThesis -
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Information reconciliation through agent controlled graph model. (c2018)
Published 2018“…Our approach provides a damage assessment and recovery algorithm that is based on agents and graphs.…”
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masterThesis -
230
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A Novel Centrality-Based Approach for Link Prediction
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masterThesis -
232
Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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Reinforcement R-learning model for time scheduling of on-demand fog placement
Published 2020“…Therefore, there is a need for an intelligent model capable of scheduling fog placement based on the user’s requests. …”
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237
Internal Model Control Structure Using Adaptive Inverse Control Strategy
Published 2003“…The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. …”
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Machine Learning-Based Approach for EV Charging Behavior
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doctoralThesis -
239
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240
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
Published 2017Get full text
doctoralThesis