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L. Han and Hemert, J., A novel visual discriminator on network traffic pattern, in The Second International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2008), Valencia, Spain, 2008, pp. 141-146.
L. Han, Asenov, A., Berry, D., Millar, C., Roy, G., Roy, S., Sinnott, R., and Stewart, G., Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics, in 3rd IEEE International Conference on eScience and Grid Computing, Bangalore, India , 2007.
L. Han, Questions considered in object-oriented software quality metrics based on Java environment, Journal of East China University of Science and Technology, p. pp 85~87, 1999.
L. Han, Saengngam, T., and van Hemert, J., Accelerating Data-Intensive Applications: a Cloud Computing Approach Image Pattern Recognition Tasks, in The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences, 2010.
L. Han, Exploiting P2P and Grid Computing Technologies for Resource Sharing to support High Performance Distributed System, in Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications , vol. 1, 2 vol., N. Antonopoulos, Exarchakos, G., Li, M., and Liottac, A., Eds. IGI Global publishing, 2010.
L. Han, Ceng, Z., and Gao, C., A new multifractal network traffic model, Journal of Chaos, solitons & fractals , vol. 13, no. 7, p. 1507~1513, 2002.
L. Han, Liew, C. S., van Hemert, J., and Atkinson, M., A Generic Parallel Processing Model for Facilitating Data Mining and Integration, Parallel Computing, vol. 37, no. 3, pp. 157 - 171, 2011.
L. Han, Han, L., and zengdian Liu, Neural network applied to the prediction of the failure stress for pressurized cylinders containing defects, International Journal of Pressure Vessels and Piping, vol. 76, no. 4, p. pp 215~219, 1999.
L. Han, Application of the methodology combined formal method with Object-Oriented technology in E-commerce, Journal of Computer Engineering, vol. 29, no. z1, p. 65~67 , 2002.
L. Han and Berry, D., Semantic-Supported and Agent-Based Decentralized Grid Resource Discovery, Future Generation Computer Systems, vol. 24, no. 8, pp. 806-812 , 2008.
L. Han and Suo, C., The characterizing network traffic based on the wavelet technique, Journal of Mini-Micro Computer System, vol. 22, no. 9, p. 1110~ 1114, 2001.
L. Han, The Self-adaptation to dynamic failures for efficient Virtual Organization formation in Grid computing context, Chaos, Solitons and Fractals, 2008.
L. Han, van Hemert, J., Baldock, R., and Atkinson, M. P., Automating Gene Expression Annotation for Mouse Embryo, in Lecture Notes in Computer Science (Advanced Data Mining and Applications, 5th International Conference), 2009, vol. LNAI 5678, pp. 469-478.
L. Han, The performance model of dynamic Virtual Organization (VO) formations within grid computing context , Chaos, Solitons & Fractals , vol. 40, no. 4, pp. 1599-1608, 2009.
M. S. Haleem, Han, L., Li, B., Nisbet, A., van Hemert, J., and Verhoek, M., Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases, in 14th {IASTED} International Conference on Computer Graphics and Imaging (CGIM), 2013.
M. S. Haleem, Han, L., van Hemert, J., and Li, B., Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review, Computerized Medical Imaging and Graphics, vol. 37, pp. 581–596, 2013.
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A. Gyenesei, Wagner, U., Barkow-Oesterreicher, S., Stolte, E., and Schlapbach, R., Mining co-regulated gene profiles for the detection of functional associations in gene expression data, Bioinformatics, vol. 23, pp. 1927-1935, 2007.
R. Grunzke, Birkenheuer, G., Blunk, D., Breuers, S., Brinkmann, A., Gesing, S., Herres-Pawlis, S., Kohlbacher, O., Krüger, J., Kruse, M., Müller-Pfefferkorn, R., Schäfer, P., Schuller, B., Steinke, T., and Zink, A., A Data Driven Science Gateway for Computational Workflows, in UNICORE Summit 2012, 2012.
M. Gruber, van Hemert, J. I., and Raidl, G. R., Neighborhood Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded in a VNS, EA, and ACO, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2006), Seattle, USA, 2006, vol. 2, p. 1187--1194.
D. ’ F. S. W. e-Science Group, Atkinson, M., Britton, D., Coveney, P., De Roure, D., Garnett, N., Geddes, N., Gurney, R., Haines, K., Hughes, L., Ingram, D., Jeffreys, P., Lyon, L., Osborne, I., Perrott, P., R., P., and Rusbridge, C., A Strategy for Research and Innovation in the Century of Information, Prometheus, vol. 27, pp. 27-45, 2009.
P. T. Groth, Gil, Y., Cheney, J., and Miles, S., Requirements for Provenance on the Web, IJDC, vol. 7, pp. 39-56, 2012.
A. Grimshaw, Morgan, M., Merrill, D., Kishimoto, H., Savva, A., Snelling, D., Smith, C., and Berry, D., An Open Grid Services Architecture Primer, Computer, vol. 42, p. 27--34, 2009.
R. Grim, Jansen, M. L. M., Baan, A., van Hemert, J. I., and de Wolf, H., Use of Evolutionary Algorithms for Telescope Scheduling, in Integrated Modeling of Telescopes, 2002, vol. 4757, p. 51--61.
A. Grant, Antonioletti, M., Hume, A. C., Krause, A., Dobrzelecki, B., Jackson, M. J., Parsons, M., Atkinson, M. P., and Theocharopoulos, E., OGSA-DAI: Middleware for Data Integration: Selected Applications, in ESCIENCE '08: Proceedings of the 2008 Fourth IEEE International Conference on eScience, Washington, DC, USA, 2008, p. 343.
J. Gomes, David, M., Martins, J., Bernardo, L., García, A., Hardt, M., Kornmayer, H., Marco, J., Marco, R., Rodríguez, D., Diaz, I., Cano, D., Salt, J., Gonzalez, S., Sánchez, J., Fassi, F., Lara, V., Nyczyk, P., Lason, P., Ozieblo, A., Wolniewicz, P., Bluj, M., Nawrocki, K., Padee, A., and Wislicki, W., Experience with the international testbed in the crossgrid project, Advances in Grid Computing-EGC 2005, vol. 3470. Springer Berlin/Heidelberg, Amsterdam, pp. 172-271, 2005.

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