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On the Classification of Splitting (v, u×c, λ) BIBDs

Constant Weight Codes. – In: Proc. of 10th International Workshop on Coding and Cryptography, 18-22 September 2017, Saint-Petersburg, Russia. 4. Beth, T., D. Jungnickel, H. Lenz. Design Theory. Cambridge University Press, 1993. 5. C. J. Colbourn, J. H. Dinitz, Eds. Handbook of Combinatorial Designs. 2nd Edition – Discrete Mathematics and Its Applications, K. Rosen, Eds. Boca Raton, FL., CRC Press, 2007. 6. Du, B. Splitting Balanced Incomplete Block Designs with Block Size 3×2. – J. Combin. Des., Vol. 12 , 2004, pp. 404-420. 7. Du, B. Splitting

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Decomposition of Enterprise Application: A Systematic Literature Review and Research Outlook

–62. [6] P. Dugerdil, and J. Repond, “Automatic generation of abstract views for legacy software comprehension,” in Proc. of India Software Engineering Conf., ISEC’10 , 2010. pp. 23–32. [7] C. Riva, “Reverse architecting: an industrial experience report,” in Proc. of 7th Working Conf. on Reverse Engineering , 2000. pp. 42–50. [8] S. Kebir, A.-D. Seriai, S. Chardigny, A. Chaoui, “Quality-centric approach for software component identification from object-oriented code

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The Analysis of Rating Data of the Latvian Higher Education Institutions Using Clustering

References [1] B.S. Everitt, Cluster analysis . Edward Arnold, London, 1993. [2] L. Kaufman and P.J. Rousseeuw, Finding groups in data. An introduction to cluster analysis. John Wiley & Sons, 2005. [3] R. Xu and D.C. Wunch , Clustering . John Wiley & Sons, 2009, pp. 263-278. [4] G. Gan., C. Ma and J. Wu, Data clustering: Theory, algorithms and applications . ASA-SIAM series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA, 2007. [5] P

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QoS Guaranteed Intelligent Routing Using Hybrid PSO-GA in Wireless Mesh Networks

. 4. Bokhari, S. F. S. F., G. Zaruba. On the Use of Smart Ants for Efficient Routing in Wireless Mesh Networks. - International Journal of Wireless & Mobile Networks (IJWMN), Vol. 4, April 2012, No 2, pp. 117-134. 5. Dai, L., Y. Xue, B. Chang, Y. Cao, Y. Cui. Optimal Routing for Wireless Mesh Networks with Dynamic Traffic Demand. - ACM Journal on Mobile Networks and Application, Vol. 13, 2008, Issue 1-2, pp. 97-116. 6. Pries, R., D. Staehle, B. Staehle, P. Tran-Gia. On Optimization of Wireless Mesh Networks Using Genetic Algorithms

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On the Monte Carlo Matrix Computations on Intel MIC Architecture

, A. Karaivan o v a. Parallel Monte Carlo on Intel MIC Architecture. - Procedia Computer Science, Vol. 108, 2017, pp. 1803-1810. 7. Atanassov, E., T. Gurov, A. Karaivanova, S. Ivanovska, M. Durchova, D. Dimitrov. On the Parallelization Approaches for Intel MIC Architecture. - In: AIP Conf. Proc. 1773, 070001, 2016. 8. Boisvert, R. F. et al. Matrix Market: A Web Resource for Test Matrix Collections. - In: R. F. Boisvert, Ed. Quality of Numerical Software

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Improving QoS Routing in Hybrid Wireless Mesh Networks, Using Cross-Layer Interaction and MAC Scheduling

-Hop Wireless Network Performance. – In: Proc. of 9th Annual International Conference on Mobile Computing and Networking, 2003, pp. 66-80. 5. Draves, R., J. Padhye, B. Zill. Routing in Multi-Radio, Multi-Hop Wireless Mesh Networks. – In: ACM International Conference on Mobile Computing and Networking (MobiCom), 2004, pp. 114-128. 6. Broch, J., D. B. Johnson, D. A. Maltz. The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks, June 1999. 7. Cheng, M., Q. Ye, L. Cai. Cross-Layer Schemes

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A Two-Stage Placement Algorithm with Multi-Objective Optimization and Group Decision Making

References 1 Borissova, D., I. Mustakerov. Wind Power Plant Layout Design and Assessment Considering Forbidden Zones for Location of Turbines. - Adv. Modeling and Optimization, Vol. 19, 2017, pp. 29-38. 2 Borissova, D., I. Mustakerov, D. Korsemov. Business Intelligence System via Group Decision Making. - Cybernetics and Information Technologies, Vol. 16, 2016, No 3, pp. 219-229. 3 Borissova, D., I. Mustakerov. A Generalized Combinatorial Optimization Approach to Wind Power Plant Design. - Cybernetics and

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Linking Datasets Using Semantic Textual Similarity

References 1. Agirre, E., C. Banea, D. M. Cer, M. T. Diab, A. Gonzalez-Agirre, R. Mihalcea, G. Rigau, J. Wiebe. SemEval-2016. Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation. – In: SemEval@NAACL-HLT, 2016, pp. 497-511. 2. Cer, D., M. Diab, E. Agirre, I. Lopez-Gazpio, L. Specia. SemEval-2017. Task 1: Semantic Textual Similarity-Multilingual and Cross-Lingual Focused Evaluation. arXiv Preprint arXiv:1708.00055, 31 July 2017. 3. Euzenat, J., C. Meilicke, H. Stuckenschmidt, P. Shvaiko, C. Trojahn. Ontology Alignment

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Ultrasonic Positioning System Implementation and Dynamic 3D Visualization

, Canada. 19. Filonenko, V., C. Cullen, J. Carswell. Investigating Ultrasonic Positioning on Mobile Phones. – In: International Conference on Indoor Positioning and Indoor Navigation (IPIN’10), September 2010, pp. 1-8. 20. Stephen, P. T., P. A. Dinda, R. P. Dick, G. Memik. Indoor Localization without Infrastructure Using the Acoustic Background Spectrum. – In: Proc. of 9th International Conference on Mobile Systems, Applications, and Services (MobiSys’11), ACM, New York, NY, USA, 2011, pp. 155-168. 21. Arp, D., E. Quiring, C. Wressnegger, K. Rieck. A

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Modeling Workflow Systems Constrained by Inputs and Outputs − An Approach Based on Petri Nets

Software, Vol. 21, June 2010, No 6, pp. 1233-1253. 4. Merdan, M., T. Moser et al. Simulation of Workflow Scheduling Strategies Using the MAST Test Management System. - In: Proc of 10th Intl. Conf. on Control, Automation, Robotics and Vision, 2008, pp. 1172-1177. 5. Stratan, C., A. Iosup et al. A Performance Study of Grid Workflow Engines. - In: Proc. of 9th Grid Computing Conference, 2008, pp. 25-32. 6. Wang, J., D. Rosca, W. Tepfenhart et al. Dynamic Workflow Modelling and Analysis in Incident Command Systems. - IEEE Trans

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