Ultralow-Loading Pt/Zn Hybrid Cluster in Zeolite HZSM-5 for Efficient Dehydroaromatization.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Chemical Society"
DOI: 10.1021/jacs.2c04278
Abstract: Minimizing Pt loading without sacrificing catalytic performance is critical, particularly for designing cost-efficient hydrocarbon transformation catalysts. Here, we show that ultralow-loading (0.001-0.05 wt %) Pt- and Zn-functionalized HZSM-5 catalysts, prepared through simple ion exchange and… read more here.
Keywords: dehydroaromatization; zeolite; hybrid cluster; hzsm ... See more keywords
Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3428691
Abstract: The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. In this study, we harnessed the capabilities of a four-channel, wearable EEG… read more here.
Keywords: cognitive load; cluster based; learning technique; hybrid cluster ... See more keywords
Hybrid cluster and data envelopment analysis with interval data
Sign Up to like & getrecommendations! Published in 2017 at "Scientia Iranica"
DOI: 10.24200/sci.2017.4482
Abstract: Data envelope analysis (DEA) is an approach to estimate the relative efficiency of decision making units (DMUs). Several studies were conducted in order to prioritize efficient units and some useful models such as cross-efficiency matrix… read more here.
Keywords: interval data; analysis; hybrid cluster; data envelopment ... See more keywords