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Yu Yao and Quan Qian
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t...
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Naomi Y. Mbelekani and Klaus Bengler
Learnability in Automated Driving (LiAD) is a neglected research topic, especially when considering the unpredictable and intricate ways humans learn to interact and use automated driving systems (ADS) over the sequence of time. Moreover, there is a scar...
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Riccardo Bacci di Capaci, Andrea Luca Tasca, Riccardo Gori, Sandra Vitolo, Monica Puccini and Gabriele Pannocchia
Sewage sludge management at wastewater treatment plants is becoming a more and more challenging task. Here, an innovative integrated modeling approach is developed to investigate the optimization of a municipal wastewater treatment plant (MWWTP) by the i...
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Hongrae Park and Sungjun Jung
A cost-effective mooring system design has been emphasized for traditional offshore industry applications and in the design of floating offshore wind turbines. The industry consensus regarding mooring system design is mainly inhibited by previous project...
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Oleh Zachko, Dmytro Kobylkin, Oleh Kovalchuk, Viacheslav Markov
Pág. 49 - 56
The subject of the study is the personnel management information system. Infrastructure design processes of the framework model of complex socio-technical systems for project management and human resource management programs, formation of a database of m...
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Daniel F. Botha
AbstractResearch was conducted in the area of sustainable knowledge extraction from e-business systems and technologies by exploring differentiating approaches from three notable authors seeking some common denominator to apply to a convergent approach i...
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