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modeling algorithm » scheduling algorithm (Expand Search)
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code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
elements deer » elementi per (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
deer algorithm » search algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
elements deer » elementi per (Expand Search)
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201
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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204
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
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doctoralThesis -
205
Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT
Published 2021“…Additionally, by introducing the authentication mechanism based on transfer learning, blockchains can enhance the preservation and security standards for industrial applications. …”
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206
Regression testing web services-based applications
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conferenceObject -
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Fragment-based computational protein structure prediction
Published 2014“…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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conferenceObject -
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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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210
Anomaly Detection Based Framework for Profile Monitoring
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doctoralThesis -
211
Decomposition method for solving a nonlinear business cycle model
Published 2003“…A numerical algorithm based on a decomposition scheme is implemented for the approximate solution of the model. …”
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212
Second-order conic programming for data envelopment analysis models
Published 2022“…Indeed, the aforesaid method is based on mathematical optimization. This paper constructs a second-order conic optimization problem unifying several DEA models. …”
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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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215
Iterative Methods for the Solution of a Steady State Biofilter Model
Published 2017Get full text
doctoralThesis -
216
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 -
217
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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218
Improving Rule Set Based Software Quality Prediction
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219
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 -
220
A Novel Centrality-Based Approach for Link Prediction
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masterThesis