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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. 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, 2018Conference 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)
Conference
DAS 2018, April 24–27, Austria, Vienna
Projects
eSSENCE
Available from: 2018-04-25 Created: 2018-05-23 Last updated: 2018-05-25Bibliographically 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 In: Proc. 4th International Workshop on Historical Document Imaging and Processing: .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2017 (English)In: Proc. 4th International Workshop on Historical Document Imaging and Processing, New York: ACM Press, 2017, p. 89-94Conference paper, Published paper (Refereed)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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