Søgeresultater - Electronic data processing Batch processing.

Hybrid modeling techniques are increasingly important for improving predictive accuracy and control in biomanufacturing, particularly in data-limited conditions. This study develops and experimentally validates a hybrid deep learning model predictive control (MPC) framework for recombinant <i>...

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In pursuit of smarter and more efficient welding methods, assessing the quality of welded components remains critical but is often constrained by traditional destructive testing methods for evaluating production batches. This work addresses this challenge by presenting a comprehensive dataset collec...

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To address the challenges of limited labeled sample information and the inability to effectively utilize public information across different fermentation batches in Pichia pastoris fermentation process, this paper propose a soft-sensing modeling method based on domain adaptation ensemble LSTM. First...

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Anomaly detection methods for industrial control networks using multivariate time series usually adopt deep learning-based prediction models. However, most of the existing anomaly detection research only focuses on evaluating detection performance and rarely explains why data is marked as abnormal a...

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This study demonstrates that the ripeness of avocado fruits can be analyzed using frequency-dependent electrical conductivity and permittivity through a non-invasive Magnetic Induction Spectroscopy (MIS) method. Utilizing an MIS system for conductivity and permittivity measurements of a large sample...

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Background. Predicting the prices of virtual assets is an important task due to their high volatility. Neural networks are widely used for such tasks, but often face the problem of naive predictions, when the next value is too similar to the previous one, which reduces the forecasting efficiency....

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The article is devoted to the research and development of a highly available distributed automated computing system by iterative algorithms based on the microservice architecture in a cloud infrastructure. The subject of the research is the practical foundations of building high-availability automat...

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Cadmium (Cd) is a toxic and carcinogenic contaminant released from a wide range of industries. Its accumulation in soil and water is of growing environmental and health concerns. Thus, there is an increasing demand for materials that are effective for Cd adsorption, economically feasible, and unlike...

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