Ghent University Academic Bibliography

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- Journal Article
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Detoxification of deoxynivalenol via glycosylation represents novel insights on antagonistic activities of Trichoderma when confronted with Fusarium graminearum

Ye Tian, Yanglan Tan, Na Liu, Zheng Yan, Yucai Liao, Jie Chen, Sarah De Saeger (UGent) , Hua Yang, Qiaoyan Zhang and Aibo Wu

(2016) TOXINS. 8(11).
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Recurrent de novo mutations affecting residue Arg138 of pyrroline-5-carboxylate synthase cause a progeroid form of autosomal-dominant cutis laxa

Björn Fischer-Zirnsak, Nathalie Escande-Beillard, Jaya Ganesh, Yu Xuan Tan, Mohammed Al Bughaili, Angela E Lin, Inderneel Sahai, Paulina Bahena, Sara L Reichert, Abigail Loh, et al.

(2015) AMERICAN JOURNAL OF HUMAN GENETICS. 97(3). p.483-492
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- Journal Article
- A1
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Spinal cord stimulation for predominant low back pain in failed back surgery syndrome: study protocol for an international multicenter randomized controlled trial (PROMISE study)

Philippe Rigoard, Mehul J Desai, Richard B North, Rod S Taylor, Lieven Annemans (UGent) , Christine Greening, Ye Tan, Carine Van den Abeele, Jane Shipley and Krishna Kumar

(2013) TRIALS. 14.
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99mTechnetium-HYNIC(tricine/TPPTS)-aca-bombesin(7-14) as a targeted imaging agent with microSPECT in a PC-3 prostate cancer xenograft model

Hildo JK Ananias, ZiLin Yu, Rudi Dierckx (UGent) , Christophe Van De Wiele (UGent) , Wijnand Helfrich, Fan Wang, YongJun Tan, XiaoYuan Chen, Igle J de Jong and Philip H Elsinga

(2011) MOLECULAR PHARMACEUTICS. 8(4). p.1165-1173
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- Journal Article
- A1
Neural network based direct optimizing predictive control with on-line PID gradient optimization.

Y TAN, Achiel Van Cauwenberghe (UGent) and M SAIF

(2001) INTELLIGENT AUTOMATION AND SOFT COMPUTING. 7(2). p.107-123
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- Journal Article
- A4
PID gradient algorithm for neural network based generalised nonlinear PID controller

Y TAN, X DANG, Achiel Van Cauwenberghe (UGent) and PID SAIF M

(2000) Control Theory and Applications. 17. p.861-867
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- Miscellaneous
Neural Network Based on Nonlinear Smith Predictor.

Y TAN and Achiel Van Cauwenberghe (UGent)

(2000) Control Theory and Application, Bejjing, China. 17. p.410-414
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- Conference Paper
- C1
Generalised nonlinear PID controller based on neural networks.

Y TAN, X DANG and Achiel Van Cauwenberghe (UGent)

(1999) Proceedings of the 1999 Information, Decision and Control, Adelaide, Australia, February 8-10, 1999; IEEE, USA, 1999, 519-524. Using Wavelet Basis Function Neural Network for Nonlinear Dynamic Modelling of Maniforld Pressure. Journal A, Soft Vision, Brussel, jg. 1999, Vol. 40, nr. 2. p.20-24
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- Journal Article
- A1
Neural-network-based d-step-ahead predictors for nonlinear systems with time delay.

YH TAN and Achiel Van Cauwenberghe (UGent)

(1999) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 12(1). p.21-35
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- Conference Paper
- C1
Neural Network Predictive Control with On-line PID Gradient Optimization

Y TAN, Achiel Van Cauwenberghe (UGent) and F KONG

(1997) Proceedings of the World Automation Congress on Intelligent Automation and Control. (WAC 97), Montpellier, France, May 28-30, 1997; Albuquerque, TSI Press, pp. 715.

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Academic Bibliography

Detoxification of deoxynivalenol via glycosylation represents novel insights on antagonistic activities of Trichoderma when confronted with Fusarium graminearum

Recurrent de novo mutations affecting residue Arg138 of pyrroline-5-carboxylate synthase cause a progeroid form of autosomal-dominant cutis laxa

Spinal cord stimulation for predominant low back pain in failed back surgery syndrome: study protocol for an international multicenter randomized controlled trial (PROMISE study)

99mTechnetium-HYNIC(tricine/TPPTS)-aca-bombesin(7-14) as a targeted imaging agent with microSPECT in a PC-3 prostate cancer xenograft model

Neural network based direct optimizing predictive control with on-line PID gradient optimization.

PID gradient algorithm for neural network based generalised nonlinear PID controller

Neural Network Based on Nonlinear Smith Predictor.

Generalised nonlinear PID controller based on neural networks.

Neural-network-based d-step-ahead predictors for nonlinear systems with time delay.

Neural Network Predictive Control with On-line PID Gradient Optimization

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