Results 11 to 20 of about 2,612,468 (303)
Modeling batch annealing process using data mining techniques for cold rolled steel sheets [PDF]
The annealing process is one of the important operations in production of cold rolled steel sheets, which significantly influences the final product quality of cold rolling mills.
Bagheri, A, Moghimi, M, Saraee, MH
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Knowledge discovery for friction stir welding via data driven approaches: Part 2 – multiobjective modelling using fuzzy rule based systems [PDF]
In this final part of this extensive study, a new systematic data-driven fuzzy modelling approach has been developed, taking into account both the modelling accuracy and its interpretability (transparency) as attributes. For the first time, a data-driven
Chu TC +17 more
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Cold-Start Problems in Data-Driven Prediction of Drug–Drug Interaction Effects
Combining drugs, a phenomenon often referred to as polypharmacy, can induce additional adverse effects. The identification of adverse combinations is a key task in pharmacovigilance.
Pieter Dewulf +2 more
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Power Modelling for Heterogeneous Cloud-Edge Data Centers [PDF]
Existing power modelling research focuses not on the method used for developing models but rather on the model itself. This paper aims to develop a method for deploying power models on emerging processors that will be used, for example, in cloud-edge ...
Chen, Kai +3 more
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A comprehensive overview of genomic imprinting in breast and its deregulation in cancer
In growth and development genomic imprinting is important in regulating gene expression. Here, the authors study loss of imprinting (LOI) in cancer, developing a mixture model to detect monoallelically expressed loci without genotyping data - applying ...
Tine Goovaerts +6 more
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Biaxial experimental characterizations of soft polymers: A review
Soft polymeric materials such as elastomers and hydrogels have played a significant role in recent interdisciplinary research. They are subjected to large stretch and high cyclic loading-unloading conditions where the typical loading mode is biaxial ...
Ali Esmaeili +3 more
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Isatuximab is an approved anti‐CD38 monoclonal antibody with multiple antitumor modes of action. An exposure‐response (E‐R) analysis using data from patients with relapsed/refractory multiple myeloma (RRMM) enrolled in a phase Ib clinical study who ...
Fatiha Rachedi +10 more
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Gaucher’s disease type 1 (GD1) leads to significant morbidity and mortality through clinical manifestations, such as splenomegaly, hematological complications, and bone disease.
Ruth Abrams +15 more
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A method for Bayesian regression modelling of composition data [PDF]
Many scientific and industrial processes produce data that is best analysed as vectors of relative values, often called compositions or proportions. The Dirichlet distribution is a natural distribution to use for composition or proportion data.
van der Merwe, Sean
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Count data models for demographic data∗ [PDF]
"This paper deals with the estimation of single equation models in which the counts are regressed on a set of observed individual characteristics such as age, gender, or nationality.... We propose a generalized event count model to simultaneously allow for a wide class of count data models and account for over- and underdispersion.
Winkelmann, Rainer, Zimmermann, Klaus F
openaire +3 more sources

