2020
DOI: 10.1016/j.aei.2020.101163
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A hybrid intelligence approach for sustainable service innovation of smart and connected product: A case study

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Cited by 36 publications
(15 citation statements)
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“…fNIRS is one of the most reliable brain function imaging techniques [26,27], with its stable signal and convenient set up for experimental monitoring [15]. The HBO signal is the parameter used to explore brain nerve changes during fNIRS [28,29]. It was observed that fNIRS indirectly records changes in brain nerve activity by detecting changes in brain HBO signals and then calculating changes in cerebral cortex hemodynamics [30].…”
Section: Discussionmentioning
confidence: 99%
“…fNIRS is one of the most reliable brain function imaging techniques [26,27], with its stable signal and convenient set up for experimental monitoring [15]. The HBO signal is the parameter used to explore brain nerve changes during fNIRS [28,29]. It was observed that fNIRS indirectly records changes in brain nerve activity by detecting changes in brain HBO signals and then calculating changes in cerebral cortex hemodynamics [30].…”
Section: Discussionmentioning
confidence: 99%
“…For the neuroimaging studies of cognitively impaired groups, the commonly used traditional imaging tools mainly include electroencephalograph (EEG), functional magnetic resonance imaging (fMRI), etc. The above traditional technical tools mostly focus on collecting the resting-state or the task state in the sitting position (Machulda et al, 2003 ; Poil et al, 2013 ; Bu et al, 2020 ). Because of this, traditional imaging techniques, such as fMRI and EEG, require subjects to remain strictly stationary in the laboratory to reduce noise interference.…”
Section: Introductionmentioning
confidence: 99%
“…More than 300 papers have resulted from the contributions of many academics and practitioners to this field's research. Only a few studies have attempted to evaluate smart SCs or digital SCs (Kang et al, 2016;Gebresenbet et al, 2018;Bu et al, 2020). Through a systematic literature analysis, Addo-Tenkorang & Helo (2016) investigated the implications of big data for sustainable supply chain management.…”
Section: Introductionmentioning
confidence: 99%