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Singh, Prashant
Publications (6 of 6) Show all publications
Singh, P., Vats, E. & Hast, A. (2018). Learning surrogate models of document image quality metrics for automated document image processing. In: Proc. 13th IAPR Workshop on Document Analysis Systems: . Paper presented at DAS 2018, April 24–27, Austria, Vienna (pp. 67-72). IEEE
Open this publication in new window or tab >>Learning surrogate models of document image quality metrics for automated document image processing
2018 (English)In: Proc. 13th IAPR Workshop on Document Analysis Systems, IEEE, 2018, p. 67-72Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2018
National Category
Computer Sciences
Research subject
Computerized Image Processing
Identifiers
urn:nbn:se:uu:diva-351317 (URN)10.1109/DAS.2018.14 (DOI)978-1-5386-3346-5 (ISBN)
Conference
DAS 2018, April 24–27, Austria, Vienna
Projects
eSSENCE
Available from: 2018-06-25 Created: 2018-05-23 Last updated: 2018-07-09Bibliographically approved
Singh, P., Claeys, T., Vandenbosch, G. A. E. & Pissoort, D. (2017). Automated line-based sequential sampling and modeling algorithm for EMC near-field scanning. IEEE transactions on electromagnetic compatibility (Print), 59, 704-709
Open this publication in new window or tab >>Automated line-based sequential sampling and modeling algorithm for EMC near-field scanning
2017 (English)In: IEEE transactions on electromagnetic compatibility (Print), ISSN 0018-9375, E-ISSN 1558-187X, Vol. 59, p. 704-709Article in journal (Refereed) Published
National Category
Computer Sciences Signal Processing
Identifiers
urn:nbn:se:uu:diva-318915 (URN)10.1109/TEMC.2016.2632741 (DOI)000395445000020 ()
Available from: 2016-12-07 Created: 2017-04-05 Last updated: 2018-01-13Bibliographically approved
Vats, E., Hast, A. & Singh, P. (2017). Automatic document image binarization using Bayesian optimization. In: Proc. 4th International Workshop on Historical Document Imaging and Processing: . Paper presented at HIP 2017, November 10–11, Kyoto, Japan (pp. 89-94). New York: ACM Press
Open this publication in new window or tab >>Automatic document image binarization using Bayesian optimization
2017 (English)In: Proc. 4th International Workshop on Historical Document Imaging and Processing, New York: ACM Press, 2017, p. 89-94Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
New York: ACM Press, 2017
National Category
Computer Sciences
Research subject
Computerized Image Processing
Identifiers
urn:nbn:se:uu:diva-334327 (URN)10.1145/3151509.3151520 (DOI)978-1-4503-5390-8 (ISBN)
Conference
HIP 2017, November 10–11, Kyoto, Japan
Projects
eSSENCE
Available from: 2017-11-10 Created: 2017-11-22 Last updated: 2018-01-31Bibliographically approved
Singh, P., Rossi, M., Couckuyt, I., Deschrijver, D., Rogier, H. & Dhaene, T. (2017). Constrained multi-objective antenna design optimization using surrogates. International journal of numerical modelling, 30, e2248:1-5, Article ID e2248.
Open this publication in new window or tab >>Constrained multi-objective antenna design optimization using surrogates
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2017 (English)In: International journal of numerical modelling, ISSN 0894-3370, E-ISSN 1099-1204, Vol. 30, p. e2248:1-5, article id e2248Article in journal (Refereed) Published
National Category
Computational Mathematics Signal Processing
Identifiers
urn:nbn:se:uu:diva-327318 (URN)10.1002/jnm.2248 (DOI)000413161300022 ()
Available from: 2017-05-04 Created: 2017-08-09 Last updated: 2018-06-16Bibliographically approved
Singh, P., Couckuyt, I., Elsayed, K., Deschrijver, D. & Dhaene, T. (2017). Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-Kriging surrogate models. Journal of Optimization Theory and Applications, 175, 172-193
Open this publication in new window or tab >>Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-Kriging surrogate models
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2017 (English)In: Journal of Optimization Theory and Applications, ISSN 0022-3239, E-ISSN 1573-2878, Vol. 175, p. 172-193Article in journal (Refereed) Published
National Category
Computational Mathematics Fluid Mechanics and Acoustics
Identifiers
urn:nbn:se:uu:diva-327316 (URN)10.1007/s10957-017-1114-3 (DOI)000412163800009 ()
Available from: 2017-05-10 Created: 2017-08-09 Last updated: 2018-02-07Bibliographically approved
Singh, P. & Hellander, A. (2017). Surrogate assisted model reduction for stochastic biochemical reaction networks. In: Proc. 49th Winter Simulation Conference: . Paper presented at WSC 2017, December 3–6, Las Vegas, NV (pp. 1773-1783). Piscataway, NJ: IEEE
Open this publication in new window or tab >>Surrogate assisted model reduction for stochastic biochemical reaction networks
2017 (English)In: Proc. 49th Winter Simulation Conference, Piscataway, NJ: IEEE, 2017, p. 1773-1783Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2017
National Category
Bioinformatics (Computational Biology)
Identifiers
urn:nbn:se:uu:diva-334364 (URN)10.1109/WSC.2017.8247915 (DOI)000427768601081 ()978-1-5386-3428-8 (ISBN)
Conference
WSC 2017, December 3–6, Las Vegas, NV
Projects
eSSENCE
Available from: 2018-01-08 Created: 2017-11-22 Last updated: 2018-06-16Bibliographically approved
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