Search alternatives:
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
would algorithm » mould algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
would algorithm » mould algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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Optimizing clopidogrel dose response
Published 2016“…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …”
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42
Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs
Published 2008“…This would allow an initial sinusoidal fuzzy set shape. …”
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Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. …”
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Final exams scheduling for univeristies. (c2001)
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45
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …”
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46
Structural similarity evaluation between XML documents and DTDs
Published 2007“…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …”
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Cooperative clustering models for Vehicular ad hoc networks. (c2013)
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51
A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System
Published 2016“…This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). …”
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Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol
Published 2018“…Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. …”
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Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
Published 2022“…However, selecting the participants that would contribute to this collaborative training is highly challenging. …”
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55
Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
Published 2021“…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …”
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”
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A hybrid approach for XML similarity
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g. …”
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59
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …”
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Virtual topologies for massively parallel computations. (c2015)
Published 2015“…Massively parallel computations that are based on such algorithms often suffer from a large communication overhead due to the exponential growth in the number of tasks generated at each search-tree level. …”
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masterThesis