Search Results - "He, Q. Peter"

Statistics pattern analysis: A new process monitoring framework and its application to semiconductor batch processes by He, Q. Peter, Wang, Jin

“…In the semiconductor industry, process monitoring has been recognized as a critical component of the manufacturing system. Multivariate statistical process…”
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Two Experimental Protocols for Accurate Measurement of Gas Component Uptake and Production Rates in Bioconversion Processes by Stone, Kyle A., He, Q. Peter, Wang, Jin

“…Bioconversion processes offer many economic, environmental, and societal advantages for production of fuels and chemicals. Successful commercialization of any…”
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Elucidating redox balance shift in Scheffersomyces stipitis' fermentative metabolism using a modified genome-scale metabolic model by Hilliard, Matthew, Damiani, Andrew, He, Q Peter, Jeffries, Thomas, Wang, Jin

“…Scheffersomyces stipitis is an important yeast species in the field of biorenewables due to its desired capacity for xylose utilization. It has been recognized…”
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Comparison of the performance of a reduced-order dynamic PLS soft sensor with different updating schemes for digester control by Galicia, Hector J., Peter He, Q., Wang, Jin

“…In this work, the previously developed reduced-order dynamic PLS (RO-DPLS) soft sensor is extended to its adaptive version to address frequent process changes…”
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Statistical process monitoring as a big data analytics tool for smart manufacturing by He, Q. Peter, Wang, Jin

“…•A roadmap of statistical process monitoring (SPM) is proposed and most recent developments are reviewed and summarized.•Challenges and potential solutions to…”
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Matlab implementation of a novel semi-structured kinetic model for methanotroph-photoautotroph cocultures by Badr, Kiumars, He, Q. Peter, Wang, Jin

“…This paper presents the matlab implementation details of a novel semi-structured kinetic model for methanotroph-photoautotroph cocultures. This includes the…”
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A new fault diagnosis method using fault directions in Fisher discriminant analysis by He, Q. Peter, Qin, S. Joe, Wang, Jin

“…Multivariate statistical methods such as principal component analysis (PCA) and partial least squares (PLS) have been widely applied to the statistical process…”
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Feature engineering and machine learning for computer-assisted screening of children with speech disorders by Suthar, Kerul, Yousefi Zowj, Farnaz, Speights Atkins, Marisha, He, Q Peter

“…Auditory perceptual analysis (APA) is the main method for clinical assessment of speech-language deficits, which are one of the most prevalent childhood…”
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Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis by Wang, Jin, He, Q. Peter

“…In this work, a new multivariate method to monitor continuous processes is developed based on the statistics pattern analysis (SPA) framework. The SPA…”
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Fast and easy quantitative characterization of methanotroph–photoautotroph cocultures by Badr, Kiumars, Whelan, William, He, Q. Peter, Wang, Jin

“…Recent research has demonstrated that synthetic methanotroph–photoautotroph cocultures offer a highly promising route to convert biogas into value‐added…”
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Self-Calibrated Warping for Mass Spectra Alignment by He, Q. Peter, Wang, Jin, Mobley, James A., Richman, Joshua, Grizzle, William E.

“…With recent advances in mass spectrometry (MS) technologies, it is now possible to study protein profiles over a wide range of molecular weights in small…”
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Comparison of variable selection methods for PLS-based soft sensor modeling by Wang, Zi Xiu, He, Q. Peter, Wang, Jin

“…Data-driven soft sensors have been widely used in both academic research and industrial applications for predicting hard-to-measure variables or replacing…”
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Probing interspecies metabolic interactions within a synthetic binary microbiome using genome-scale modeling by Badr, Kiumars, He, Q Peter, Wang, Jin

“…Metabolic interactions within a microbial community play a key role in determining the structure, function, and composition of the community. However, due to…”
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Fault Detection Using the k-Nearest Neighbor Rule for Semiconductor Manufacturing Processes by He, Q.P., Jin Wang

“…It has been recognized that effective fault detection techniques can help semiconductor manufacturers reduce scrap, increase equipment uptime, and reduce the…”
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A mini review on bioreactor configurations and gas transfer enhancements for biochemical methane conversion by Stone, Kyle A., Hilliard, Matthew V., He, Q. Peter, Wang, Jin

“…•For natural gas, FCLBs reported the best mass transfer and are most utilized in industry.•For LCME, biotrickle reactor is the most effective in methane…”
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A Microalgae-Methanotroph Coculture is a Promising Platform for Fuels and Chemical Production From Wastewater by Roberts, Nathan, Hilliard, Matthew, He, Q. Peter, Wang, Jin

“…Wastewater resource recovery facilities are major energy consumers in a community, as well as major contributors for greenhouse gas emission. Although…”
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Understanding the evolution of interspecies metabolic interactions using dynamic genome-scale metabolic modeling by Badr, Kiumars, Peter He, Q., Wang, Jin

“…Microbial communities are ubiquitous in nature and play a significant role in various biogeochemical cycles on earth. They are dynamic in nature and exhibit…”
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Information Entropy based Indices for Variable Selection Performance Assessment by Peter He, Q.

“…Variable selection plays an important role in data-driven modeling and other applications, and becomes increasingly important as big data become ubiquitous. In…”
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Editorial: Smart manufacturing: advances and applications of artificial intelligence, machine learning and industrial internet of things in the chemical and biochemical industry by Flores-Cerrillo, Jesus, He, Q. Peter, Wang, Jin, Yu, Huimin

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Statistics Pattern Analysis: A Statistical Process Monitoring Tool for Smart Manufacturing by Peter He, Q., Wang, Jin

“…Statistical process monitoring (SPM) is an important component in the long-term reliable operation of any system and its importance can only become greater in…”
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