Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Jionghua (Judy) Jin"'
Publikováno v:
Journal of Manufacturing Science and Engineering. 145
Surface defect identification is a crucial task in many manufacturing systems, including automotive, aircraft, steel rolling, and precast concrete. Although image-based surface defect identification methods have been proposed, these methods usually h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5122b209b9d9f8e445003e025d40b590
https://doi.org/10.1115/1.4056005
https://doi.org/10.1115/1.4056005
Autor:
Dipesh Niraula, Wenbo Sun, Jionghua (Judy) Jin, Ivo D. Dinov, Kyle Cuneo, Jamalina Jamaluddin, Martha M. Matuszak, Yi Luo, Theodore S. Lawrence, Shruti Jolly, Randall K. Ten Haken, Issam El Naqa
BackgroundInvolvement of many variables, uncertainty in treatment response, and inter-patient heterogeneity challenge objective decision-making in dynamic treatment regime (DTR) in oncology. Advanced machine learning analytics in conjunction with inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062fce3ce18630426a5271c32119db97
https://doi.org/10.1101/2022.09.23.22280215
https://doi.org/10.1101/2022.09.23.22280215
Publikováno v:
Journal of Manufacturing Science & Engineering; Mar2023, Vol. 145 Issue 3, p1-16, 16p
Publikováno v:
Journal of biomechanics. 135
Tissue-level brain responses to sport-related head impacts may be stronger predictors of brain injury risk than head kinematics alone. Despite the importance of accurate impact response estimation, the influence of head morphological variations has n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e4fa44ac43114b5ca7557de58c865e
https://pubmed.ncbi.nlm.nih.gov/35320756
https://pubmed.ncbi.nlm.nih.gov/35320756
Publikováno v:
Journal of Manufacturing Science & Engineering; Jan2022, Vol. 144 Issue 1, p1-13, 13p
Publikováno v:
IISE Transactions. 49:84-95
Modern utility-scale wind farms consist of a large number of wind turbines. In order to improve the power generation efficiency of wind turbines, accurate quantification of power generation levels of multi-turbines is critical, in both wind farm desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad180e355610baf2d2e29b4f8874c915
https://doi.org/10.1080/0740817x.2016.1204489
https://doi.org/10.1080/0740817x.2016.1204489
Publikováno v:
Quality and Reliability Engineering International. 32:2653-2665
Solar energy is a fast growing energy source and has allowed the development of efficient, affordable, and easy-to-install photovoltaic systems over the years. Solar energy stakeholders are, however, concerned with sudden deterioration of photovoltai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d754c47d150f7ad657fbc18ce4c97776
https://doi.org/10.1002/qre.2077
https://doi.org/10.1002/qre.2077
Publikováno v:
Ergonomics. 60:589-596
Data from a previous study of soldier driving postures and seating positions were analysed to develop statistical models for defining accommodation of driver seating positions in military vehicles. Regression models were created for seating accommoda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81a437c348ffb447a6d4e57be4eddc91
https://doi.org/10.1080/00140139.2016.1184760
https://doi.org/10.1080/00140139.2016.1184760
Publikováno v:
Journal of Manufacturing Science and Engineering. 139
Fine-scale characterization and monitoring of spatiotemporal processes are crucial for high-performance quality control of manufacturing processes, such as ultrasonic metal welding and high-precision machining. However, it is generally expensive to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dcb58516a45944655d62ab8b007b331
https://doi.org/10.1115/1.4036347
https://doi.org/10.1115/1.4036347
Publikováno v:
Energies; Volume 10; Issue 4; Pages: 543
This study focuses on surrogate measures (SMs) of robustness for the stochastic job shop scheduling problems (SJSSP) with uncertain processing times. The objective is to provide the robust predictive schedule to the decision makers. The mathematical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b46b7e88900e4a5d58359d433b916d17