| Feature engineering in big data analytics for IoT-enabled smart manufacturing–Comparison between deep learning and statistical learning D Shah, J Wang, QP He Computers & Chemical Engineering 141, 106970, 2020 | 61 | 2020 |
| Feature space monitoring for smart manufacturing via statistics pattern analysis QP He, J Wang, D Shah Computers & Chemical Engineering 126, 321-331, 2019 | 31 | 2019 |
| Next-generation virtual metrology for semiconductor manufacturing: A feature-based framework K Suthar, D Shah, J Wang, QP He Computers & Chemical Engineering 127, 140-149, 2019 | 27 | 2019 |
| A feature-based soft sensor for spectroscopic data analysis D Shah, J Wang, QP He Journal of Process Control 78, 98-107, 2019 | 26 | 2019 |
| An internet-of-things enabled smart manufacturing testbed D Shah, J Wang, QP He IFAC-PapersOnLine 52 (1), 562-567, 2019 | 19 | 2019 |
| Statistical process monitoring for IoT-Enabled cybermanufacturing: opportunities and challenges QP He, J Wang, D Shah, N Vahdat IFAC-PapersOnLine 50 (1), 14946-14951, 2017 | 17 | 2017 |
| Feature-based virtual metrology for semiconductor manufacturing K Suthar, D Shah, J Wang, QP He Computer Aided Chemical Engineering 44, 2083-2088, 2018 | 10 | 2018 |
| A novel soft sensor approach for estimating individual biomass in mixed cultures KA Stone, D Shah, MH Kim, NRM Roberts, QP He, J Wang Biotechnology Progress 33 (2), 347-354, 2017 | 10 | 2017 |
| A spectroscopic chemometric modeling approach based on statistics pattern analysis D Shah, QP He, J Wang IFAC-PapersOnLine 51 (18), 369-374, 2018 | 7 | 2018 |
| Challenges and opportunities for IoT-enabled cybermanufacturing: what we learned from an IoT-enabled manufacturing technology testbed D Shah, A Hancock, A Skjellum, J Wang, QP He Proceedings of Foundations of Computer Aided Process Operations/Chemical …, 2017 | 5 | 2017 |
| Challenges and Opportunities for Iot-Enabled Cybermanufacturing: Some Initial Findings from an Iot-enabled Manufacturing Technology Testbed D Shah, A Hancock, A Skjellum, J Wang, P He Proceedings of Foundations of Computer Aided Process Operations/Chemical …, 2017 | 2 | 2017 |
| Let’s Talk: Iiot Enabled Testbeds & Big Data Analytics Applications for Smart-Manufacturing D Shah 2019 Spring Meeting and 15th Global Congress on Process Safety, 2019 | 1 | 2019 |
| Big Data Analytics and Its Applications in Soft Sensor for Smart Manufacturing DK Shah Auburn University, 2019 | 1 | 2019 |
| Exploring the Role of System Knowledge in Data Analytics Using an Iiot-Enabled Smart Manufacturing Testbed D Shah, J Flores-Cerrillo, J Wang, QP He 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Data Characterization, Visualization and Analytics for a Smart Manufacturing Testbed D Shah, J Wang, QP He 2019 Spring Meeting and 15th Global Congress on Process Safety, 2019 | | 2019 |
| Big Data and Iot: A Demonstration Testbed of Multi-Stage Centrifugal Pumping System D Shah, J Wang, QP He 2018 AIChE Annual Meeting, 2018 | | 2018 |
| Virtual Metrology As a Big Data Solution to Semiconductor Manufacturing K Suthar, D Shah, QP He 2017 AIChE Annual Meeting, 2017 | | 2017 |
| A new application of data-driven soft sensor: Estimating individual biomass in mixed cultures KA Stone, D Shah, QP He, J Wang 2017 American Control Conference (ACC), 561-566, 2017 | | 2017 |
Q. Peter HeDepartment of Chemical Engineering, Auburn UniversityVerifierad e-postadress på auburn.edu
