Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"regression polynomial"”.
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Physics-Informed Machine Learning Methodologies Using RAPID for Predicting Eigenvalue and 3-D Fission Distribution in JSI TRIGA Mark-II Research Reactor
… The ML models analyzed include linear regression, polynomial regression, k-nearest neighbors (kNN), random forest (RF), and neural networks (NN). Results show that kNN regression is both fast and accurate for calculating keff, achieving an RMSE score of 26.37 pcm in under one second. …
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IoT and machine learning approach for the determination of optimal freshwater exchange rate in aquaponics
… system. Machine learning techniques, including regression, classification, and ensemble models, were applied for predicting optimal water exchange rates, classifying plant growth stages, and forecasting harvest timing. Specifically, models such as Decision Tree, Random Forest, Gradient Boosting, …
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Numerické metody pro rekonstrukci chybějící obrazové informace
The Diploma thesis deals with reconstruction of Missing data of an Image. It is done by the use of appropriate Mathematical theory and numerical algorithm to reconstruct missing information. The result of this implementation is the reconstruction of missing image information. The thesis also …
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Metodologias de superfície de resposta : uma investigação no âmbito da indústria cerâmica e do vido
A metodologia de superfícies de resposta MSR é um conjunto de técnicas estatístico-matemáticas que visa a optimização. No nosso tipo de sociedade, orientada para um mercado globalizado onde impera a lei do mais forte, qualquer ganho de produtividade, qualquer diminuição dos custos de produção, …
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Design-Oriented Translators for Automotive Joints
… for developing Translator A. Response surface polynomials and neural networks are used to develop translator A. Stepwise regression is used in this study to rank the design variables in terms of importance and to obtain the best regression model. Translator B uses optimization to find the most …