IMPLEMENTATION OF REAL-TIME INCREMENTAL LEARNING FOR ENSEMBLE HYBRID MODEL PREDICTION IN PILOT SCALE BUBBLE COLUMN AERATION

Implementation of real-time incremental learning for ensemble hybrid model prediction in pilot scale bubble column aeration

Digital twins are frequently discussed in a bio-manufacturing context, but actual realisations of digital twins are rare.To use digital twin instances, significant investments in digital infrastructure and high-fidelity mathematical models are required.This work presents a real-time implementation of an ensemble hybrid model with incremental learni

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Artistic trends to the formation of postmodern

This research includes interested in studying art contemporary, by studying the experiences of sculpture for the formation of post-modernism, assuming the existence of trends in public art can be classified, in spite of the multiplicity of styles and methods of work since the second half of the twentieth century to the present day, and this shenani

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Performance of Artificial Intelligence Models Designed for Automated Estimation of Age Using Dento-Maxillofacial Radiographs—A Systematic Review

Automatic age estimation has garnered significant interest among researchers because of its potential practical uses.The current Loft Drawer Storage systematic review was undertaken to critically appraise developments and performance of AI models designed for automated estimation using dento-maxillofacial radiographic images.In order to ensure cons

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