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||Previous years: || [[Publications/2014|2014]] || [[Publications/2013|2013]] || [[Publications/2012|2012]] || [[Publications/2011|2011]] ||[[Publications/2010|2010]]||[[Publications/2009|2009]]||[[Publications/2008|2008]]||[[Publications/2007|2007]]||[[Publications/2006|2006]]||[[Publications/2005|2005]]|| ||<tablewidth="731px" tableheight="30px">Previous years: ||[[Publications/2016|2016]]||[[Publications/2015|2015]] ||[[Publications/2014|2014]] ||[[Publications/2013|2013]] ||[[Publications/2012|2012]] ||[[Publications/2011|2011]] ||[[Publications/2010|2010]] ||[[Publications/2009|2009]] ||[[Publications/2008|2008]] ||[[Publications/2007|2007]] ||[[Publications/2006|2006]] ||[[Publications/2005|2005]] ||
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== Recent Publications ==


==== Books/Chapter in books ====

 * M.E. Frincu, D. Petcu, Resource Management for HPC on the Cloud, In Emmanuel Jeannot, Julius Zilinskas (eds.): High-Performance Computing on Complex Environments, ISBN: 978-1-118-71205-4, June 2014, 303-323
== Recent Publications (2017) ==
Line 13: Line 7:
  * Bonchiş, C., Istrate, G., Improved approximation algorithms for low-density instances of the Minimum Entropy Set Cover Problem, Source of the Document Information Processing Letters, 114 (7), pp. 360-364, 2014  * E. Absalom, N. Okoroafor, S. Buhari, M. Frincu, S. Junaidu, Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets, De Gruyter Press, Journal of Intelligent Systems, vol. 26(1), pp. 169-184, 2017
Line 15: Line 9:
  * Frîncu, M.E., Scheduling highly available applications on cloud environments, Future Generation Computer Systems, 32 (1), pp. 138-153, 2014  * O. Brandibur, E. Kaslik, Stability properties of a two-dimensional system involving one Caputo derivative and applications to the investigation of a fractional-order Morris–Lecar neuronal model, Nonlinear Dynamics, Volume 90, Issue 4, 1 December 2017, Pages 2371-2386
Line 17: Line 11:
  * Frincu, M.E., Genaud, S., Gossa, J., On the efficiency of several VM provisioning strategies for workflows with multi-threaded tasks on clouds, Computing, article in press, 2014  * V. Casola, A. De Benedictis, M. Eraşcu, J. Modic, M, Rak, Automatically Enforcing Security SLAs in the Cloud, IEEE Transactions on Services Computing 10(5),7430360, pp. 741-755, 2017
Line 19: Line 13:
  * Pungilǎ, C.-P., Reja, M., Negru, V., Efficient parallel automata construction for hybrid resource-impelled data-matching, Future Generation Computer Systems 36, pp. 31-41, 2014  * Ezugwu, A.E.-S., Adewumi, A.O., Frîncu, M.E., Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem, Expert Systems with Applications, volume 77, pages 189-210, 10.1016/j.eswa.2017.01.053, 2017
Line 21: Line 15:
  * Iuhasz, G., Negru, V., Zaharie, D., Neuroevolution based multi-agent system with ontology based template creation for micromanagement in real-time strategy games, Information Technology and Control, 43 (1), pp. 98-109, 2014  * A. Ezugwu, M. Frincu, A. Adewumi, S. Buhari, S. Junaidu, Neural network-based multi-agent approach for scheduling in distributed systems, Concurrency and Computation: Practice and Experience, Wiley Press, vol. 29(1), online DOI: 10.1002/cpe.3887, 2017
 
 * M. Frincu, I. Giurginca, Astronomical Alignments of Paleo-Christian Basilicas in Romania, Journal of Sociology and Anthropology, vol. 5(5), pp. 412-419, 2017
Line 23: Line 19:
  * Kutsia, T., Marin, M., Regular expression order-sorted unification and matching, Journal of Symbolic Computation, article in press, 2014  * Fortiş, T.-F., Munteanu, V.I.,Topics in cloud incident management, 2017, Future Generation Computer Systems, volume 72, pages 163-164, 10.1016/j.future.2016.11.003
Line 25: Line 21:
  * Munteanu, V.I., Fortiş, T.-F., Copie, A., Supporting cloud governance through technologies and standards, Studies in Computational Intelligence 511, pp. 271-280, 2014
  
  * Muscalagiu, I., Popa, H.E., Negru, V., The impact of the "nogood processor" technique in scale-free networks, Studies in Computational Intelligence 511, pp. 163-173, 2014
 * Kaslik, E., Analysis of two- and three-dimensional fractional-order Hindmarsh-Rose type neuronal models. Fractional Calculus and Applied Analysis, 20(3), 2017
Line 29: Line 23:
  * Iuhasz, G., Munteanu, V.I., Negru, V., A survey of adaptive game AI: Considerations for cloud deployment, Studies in Computational Intelligence 511, pp. 309-315, 2014
  
  * D. Petcu, A.V. Vasilakos Portability in clouds: approaches and research opportunities, Scalable Computing: Practice and Experience, Volume 15, Issue 3, Sept 2014, 251-270
    
  * V.I. Munteanu, C. Sandru, D. Petcu, Multi-cloud resource management: cloud service interfacing, Journal of Cloud Computing: Advances, Systems and Applications. 2014, 3:3, ISSN: 2192-113X, on-line May 2014
 * Kaslik, E., Radulescu, I.R., Dynamics of complex-valued fractional-order neural networks. Neural Networks, 89:39-49, 2017
 
 * Maruster, S., Maruster, L., Local convergence of generalized Mann iteration, Numerical Algorithms, pages 1-12, 10.1007/s11075-017-0289-x, 2017
Line 35: Line 27:
  * A. Agathos, J. Li, D. Petcu, and A. Plaza Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 7, Issue 6, 2014, 2281-2296
  
  * D. Petcu, Consuming Resources and Services from Multiple Clouds. From Terminology to Cloudware Support . Journal of Grid Computing,vol. 12, issue 2, 321-345, doi: 10.1007/s10723-013-9290-3
 * Măruşter, Ş., Estimating the local radius of convergence for picard iteration Algorithms, 10, pages 1-10, 10.3390/a10010010, 2017
Line 39: Line 29:
  * J. Juzna, P. Cesarek, D. Petcu and V. Stankovski, Solving Solid and Fluid Mechanics Problems in the Cloud with mOSAIC, Computing in Science and Engineering, Vol 16, issue 4, 68-77, doi: 10.1109/MCSE.2013.135  * Néda, Z., Davidova, L., Újvári, S., Istrate, G., Gambler's ruin problem on Erdős–Rényi graphs, Physica A: Statistical Mechanics and its Applications, 468, pages 147-157, 10.1016/j.physa.2016.10.056, 2017
Line 41: Line 31:
  * V. Stankovski, D. Petcu, Developing a Model Driven Approach for engineering applications based on mOSAIC, Journal of Cluster Computing, Springer, on-line April 2013, vol. 17, issues 1, 2014, 101-110, doi: 10.1007/s10586-013-0263-x

  * R.D. Moleriu, D. Zaharie, L.C. Moatar-Moleriu, A.T. Gruia, A.A. Mic, F.A. Mic - Insights into the mechanisms of thymus involution and regeneration by modeling the glucocorticoid-induced perturbation of thymocyte populations dynamics , Journal of Theoretical Biology, Volume 348, Pages 80-99, 2014.
 * S. Zhang, A. Agathos,J. Li, Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing,IEEE Transactions on Geoscience and Remote Sensing, 2017
Line 46: Line 34:
==== Book chapters ====

 * E. Di Nitto, P. Matthews, D. Petcu, D., A. Solberg (Eds.), Model-Driven Development and Operation of Multi-Cloud Applications. The MODAClouds Approach, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, Springer International Publishing, eBook ISBN 978-3-319-46031-4, 2017

 * E. Di Nitto, Petcu, D., Introduction, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, 1-11, 2017
 
 
Line 48: Line 43:
  * Agathos, A., Li, J., Bioucas-Dias, J.M., Plaza, A., Robust minimum volume simplex analysis for hyperspectral unmixing, European Signal Processing Conference 6952576, pp. 1582-1586, 2014  * Baban, A., Bonchis, C., Fikl, A., Rosu, F., Parallel simulations for fractional-order systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829605, pages 141-144, 10.1109/SYNASC.2016.033, 2017

 * Balint, S., Space-time evolution of the perturbations of a spatially developing 3D constant gas flow, AIP Conference Proceedings, 1798, 20015, 10.1063/1.4972607, 2017
Line 50: Line 47:
  * Dramnesc, I., Jebelean, T., Theory exploration of sets represented as monotone lists, SISY 2014 - IEEE 12th International Symposium on Intelligent Systems and Informatics, Proceedings 6923579, pp. 163-168, 2014  * Balint, S., Balint, A.M., Non Lyapunov stability of the constant spatially developing 1-D gas flow in presence of solutions having strictly positive exponential growth rate, AIP Conference Proceedings, 1798, 20012, 10.1063/1.4972604, 2017

 * Balint, A.M., Balint, S., Tanasie, L.,Non Lyapunov stability of a constant spatially developing 2-D gas flow, AIP Conference Proceedings, 1798, 20014, 10.1063/1.4972606, 2017

 * Balint, A.M., Balint, S., Szabo, R., Lyapunov stability of a spatially developing constant 2D gas flow, AIP Conference Proceedings 1798, 20013, 10.1063/1.4972605, 2017

 * Bersani, M. M., Erascu, M., Marconi, F., Ghilardi S., and Rossi M., Formal Verification of Data-Intensive Applications through Model Checking Modulo Theories, SPIN2017, co-located to ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2017, Santa Barbara, California, USA, 2017.

 * Brandibur, O., Kaslik, E., Stability analysis of two-component incommensurate fractional-order systems and applications to the FitzHugh-Nagumo model, CMMSE 2017, Cadiz, Spania 4-8 July 2017

 * Doan, D.N., Iuhasz, G., Tuning logstash garbage collection for high throughput in a monitoring platform, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 782963, pages 359-365, 10.1109/SYNASC.2016.06, 2017

 * Erascu, M., Computational Logic and Quantifier Elimination Techniques for Optimal Numerical Algorithms, Workshop Women in Logic 2017, affiliated to Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), Reykjavik, Iceland, 2017.

 * Frincu, M., Draghici, R., Towards a scalable cloud enabled smart home automation architecture for demand response, IEEE PES Innovative Smart Grid Technologies Conference Europe Part F126485, 7856235, 10.1109/ISGTEurope.2016.7856235, 2017
Line 52: Line 63:
  * Fortis, T.F., Fortis, A.E., Balint, S., A multi-agent system for the flight quality analysis, Source of the Document Proceedings - 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014 6915556, pp. 457-462, 2014  * Frincu, M., Giurginca I., Revisiting the Neolithic Sanctuary at Parta Romania: New and Old Arhcaeoastronomical Considerations, Procs. of SEAC conference, 2017
Line 54: Line 65:
  * Fortiş, A.E., Balint, S., Fortiş, T.-F., Dependence of the oscillatory movements of an unmanned aerial vehicle on the forward velocity, Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013 6821140, pp. 119-125, 2014  * Frincu, M., Architecting a hybrid cross layer dew-fog-cloud stack for future data-driven cyber-physical systems, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings
7973456, pp. 399-403, 2017
Line 56: Line 68:
  * Istrate, G., Crãciun, A., Proof complexity and the Kneser-Lovász theorem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8561 LNCS, pp. 138-153, 2014  * Ivascu, T., Dinis, A., Negru, V., Towards a multi-agent system for medical records processing and knowledge discovery. Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829639, pages 395-399, 10.1109/SYNASC.2016.067, 2017

 * Ivascu, T., Cincar, K., Dinis, A., Negru, V., Activities of daily living and falls recognition and classification from the wearable sensors data, 2017 E-Health and Bioengineering Conference, EHB 2017 7995502, pp. 627-630

 * Kaslik,E., M. Neamtu. Dynamics of a Four-Dimensional Hypothalamic-Pituitary-Adrenal Axis Model with Distributed Delays, CMMSE 2017, Cadiz, Spania, 4-8 July 2017

 * Kaslik, E., Navolan, D.B., Neamţu, M., Stability analysis of a hypothalamic-pituitary-adrenal axis model with inclusion of glucocorticoid receptor and memory, AIP Conference Proceedings, 1798, 20111, 10.1063/1.4972703, 2017

 * Mafteiu-Scai, L.O., Cornigeanu, C.A., A parallel heuristic for bandwidth reduction based on matrix geometry, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829643, pages 424-427, 10.1109/SYNASC.2016.071, 2017

 * Mafteiu-Scai, L.O., Cornigeanu, C.A. Parallel heuristics for systems of equations preconditioning, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829630, pages 319-322, 10.1109/SYNASC.2016.058, 2017

 * Oana, L., Spataru, A., Use of genetic algorithms in numerical weather prediction, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829647, pages 456-461, 10.1109/SYNASC.2016.075, 2017

 * L. Oana, M. Frincu, Benchmarking the WRF Model on Bluegene/P, Cluster, and Cloud Platforms and Accelerating Model Setup through Parallel Genetic Algorithms, Procs. 16th International Symposium on Parallel and Distributed Computing (ISPDC), 2017

 * Onchis, D.M., Zappala, S., Approximate duals of gabor-like frames based on realizable multi-window spline-type constructions, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829599, pages 99-104, 10.1109/SYNASC.2016.027, 2017

 * Petcu, D., Mastering the heterogeneity in HPC as a Service, NESUS Sixth Working Group, Bayreuth, Apr 2017

 * Petcu, D., HPC as a Service: Challenges and Limitations, ISPDC 2017, Innsbruck, July 2017

 * Radoaca, A., Venn diagrams for multisets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829611, pages 187-194, 10.1109/SYNASC.2016.039, 2017

 * Rǎdulescu, I.R., Cândea, D., Kaslik, E., A comparison between the stability properties in a DDE model for leukemia and the modified fractional counterpart, AIP Conference Proceedings, 1798, 20127, 10.1063/1.4972719, 2017

 * Rotovei, D., Multi-agent aspect level sentiment analysis in CRM systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829640, pages 400-407, 10.1109/SYNASC.2016.068, 2017
Line 58: Line 96:
  * Manate, B., Munteanu, V.I., Fortis, T.F., Moore, P.T., An intelligent context-aware decision-support system oriented towards healthcare support, Proceedings - 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014 6915544, pp. 386-391, 2014
  
  * Marin, M., Istrate, G., Learning Cover Context-Free Grammars from Structural Data, Proc. ICTAC 2014, LNCS 8687, 241-258, 2014
 * Rotovei, D., Negru, V., A methodology for improving complex sales success in CRM Systems, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017 8001179, pp. 322-327, 2017
Line 62: Line 98:
  * Dundua, B., Florido, M., Kutsia, T., Marin, M., Constraint logic programming for hedges: A semantic reconstruction, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8475 LNCS, pp. 285-301, 2014  * Tirea, M., Negru, V., Behavioral trading system -detecting crisis, risk and stability in financial markets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829623, pages 279-286, 10.1109/SYNASC.2016.051, 2017
Line 64: Line 100:
  * Iuhasz, G., Munteanu, V.I., Negru, V., Evolutionary approach to negotiation in game AI, Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013, 6821163, pp. 296-302, 2014  * A. Vulpe, M. Frincu, Scheduling Data Stream Jobs on Distributed Systems with Background Load, Procs. 3rd International Workshop on Scalable Computing for Real-Time Big Data Applications in conjunction with IEEE/ACM CCGrid, 2017
Line 66: Line 102:
  * Manate, B., Munteanu, V.I., Fortis, T.F., Proceedings - 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014 6915578, pp. 582-587, 2014

  * Panica, S., Petcu, D., Distributed resource identification service for cloud environments, Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013 6821182, pp. 448-453, 2014
 
  * D. Petcu, SLA-based Cloud Security Monitoring: Challenges, Barriers, Models and Methods, in L. Lopes et al. (Eds.), Euro-Par 2014 Workshops, Part I, LNCS 8805, 359-370, 2014

  * D. Petcu, A Taxonomy for SLA-based Monitoring of Cloud Security, 2014 IEEE 38th Annual Computer Software and Applications Conference (COMPSAC), July 2014, Vasteras, Sweden, 640-641

  * D. Petcu, H. Gonzalez-Velez, B. Nicolae, J.M. Garia-Gomez, E. Fuster-Garcia, C. Sheridan, Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications, in L. Lopes et al. (Eds.), Euro-Par 2014 Workshops, Part II, LNCS 8806, 26-37, 2014

  * D. Petcu, E. Di Nitto, D. Ardagna, A. Solberg, G. Casale, Towards Multi-Clouds Engineering, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 1-6, 2014

  * D. Petcu, C. Craciun, Towards a Security SLA-based Cloud Monitoring Service. In Proceedings CLOSER 2014, 4th International Conference on Cloud Computing and Services Science, 598-603.

  * D. Petcu, On the Management of Cloud Services in Multi-Clouds for Scientific Applications. In Ivan Lirkov et al (eds.): LSSC2013, LNCS 8353, pp. 501-509, 2014

  * L. Moatar-Moleriu, V. Negru, D. Zaharie - Evolutionary Estimation of Parameters in Computational Models of Thymocyte Dynamics, LSSC'13, June, Sozopol, Springer LNCS 8353, pg. 264-271, 2014.

  * Pop, D., Bogdǎnescu, C., Ontology-based recommender for distributed machine learning environment, Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013 6821193, pp. 537-542, 2014

  * Tirea, M., Negru, V., Managing risk behavior on an evolutionary market - A risk limits and value-at-risk measures approach, Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013 6821194, pp. 543-550, 2014
  
 * Zaharie, D., Micota, F., Revisiting the Analysis of Population Variance in Differential Evolution Algorithms, CEC 2017-IEEE Congress on Evolutionary Computation, 4-8 June 2017

Previous years:

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

Recent Publications (2017)

Journal papers

  • E. Absalom, N. Okoroafor, S. Buhari, M. Frincu, S. Junaidu, Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets, De Gruyter Press, Journal of Intelligent Systems, vol. 26(1), pp. 169-184, 2017
  • O. Brandibur, E. Kaslik, Stability properties of a two-dimensional system involving one Caputo derivative and applications to the investigation of a fractional-order Morris–Lecar neuronal model, Nonlinear Dynamics, Volume 90, Issue 4, 1 December 2017, Pages 2371-2386
  • V. Casola, A. De Benedictis, M. Eraşcu, J. Modic, M, Rak, Automatically Enforcing Security SLAs in the Cloud, IEEE Transactions on Services Computing 10(5),7430360, pp. 741-755, 2017
  • Ezugwu, A.E.-S., Adewumi, A.O., Frîncu, M.E., Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem, Expert Systems with Applications, volume 77, pages 189-210, 10.1016/j.eswa.2017.01.053, 2017
  • A. Ezugwu, M. Frincu, A. Adewumi, S. Buhari, S. Junaidu, Neural network-based multi-agent approach for scheduling in distributed systems, Concurrency and Computation: Practice and Experience, Wiley Press, vol. 29(1), online DOI: 10.1002/cpe.3887, 2017
  • M. Frincu, I. Giurginca, Astronomical Alignments of Paleo-Christian Basilicas in Romania, Journal of Sociology and Anthropology, vol. 5(5), pp. 412-419, 2017
  • Fortiş, T.-F., Munteanu, V.I.,Topics in cloud incident management, 2017, Future Generation Computer Systems, volume 72, pages 163-164, 10.1016/j.future.2016.11.003
  • Kaslik, E., Analysis of two- and three-dimensional fractional-order Hindmarsh-Rose type neuronal models. Fractional Calculus and Applied Analysis, 20(3), 2017
  • Kaslik, E., Radulescu, I.R., Dynamics of complex-valued fractional-order neural networks. Neural Networks, 89:39-49, 2017
  • Maruster, S., Maruster, L., Local convergence of generalized Mann iteration, Numerical Algorithms, pages 1-12, 10.1007/s11075-017-0289-x, 2017
  • Măruşter, Ş., Estimating the local radius of convergence for picard iteration Algorithms, 10, pages 1-10, 10.3390/a10010010, 2017
  • Néda, Z., Davidova, L., Újvári, S., Istrate, G., Gambler's ruin problem on Erdős–Rényi graphs, Physica A: Statistical Mechanics and its Applications, 468, pages 147-157, 10.1016/j.physa.2016.10.056, 2017
  • S. Zhang, A. Agathos,J. Li, Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing,IEEE Transactions on Geoscience and Remote Sensing, 2017

Book chapters

  • E. Di Nitto, P. Matthews, D. Petcu, D., A. Solberg (Eds.), Model-Driven Development and Operation of Multi-Cloud Applications. The MODAClouds Approach, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, Springer International Publishing, eBook ISBN 978-3-319-46031-4, 2017

  • E. Di Nitto, Petcu, D., Introduction, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, 1-11, 2017

Conference papers

  • Baban, A., Bonchis, C., Fikl, A., Rosu, F., Parallel simulations for fractional-order systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829605, pages 141-144, 10.1109/SYNASC.2016.033, 2017
  • Balint, S., Space-time evolution of the perturbations of a spatially developing 3D constant gas flow, AIP Conference Proceedings, 1798, 20015, 10.1063/1.4972607, 2017
  • Balint, S., Balint, A.M., Non Lyapunov stability of the constant spatially developing 1-D gas flow in presence of solutions having strictly positive exponential growth rate, AIP Conference Proceedings, 1798, 20012, 10.1063/1.4972604, 2017
  • Balint, A.M., Balint, S., Tanasie, L.,Non Lyapunov stability of a constant spatially developing 2-D gas flow, AIP Conference Proceedings, 1798, 20014, 10.1063/1.4972606, 2017
  • Balint, A.M., Balint, S., Szabo, R., Lyapunov stability of a spatially developing constant 2D gas flow, AIP Conference Proceedings 1798, 20013, 10.1063/1.4972605, 2017
  • Bersani, M. M., Erascu, M., Marconi, F., Ghilardi S., and Rossi M., Formal Verification of Data-Intensive Applications through Model Checking Modulo Theories, SPIN2017, co-located to ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2017, Santa Barbara, California, USA, 2017.
  • Brandibur, O., Kaslik, E., Stability analysis of two-component incommensurate fractional-order systems and applications to the FitzHugh-Nagumo model, CMMSE 2017, Cadiz, Spania 4-8 July 2017

  • Doan, D.N., Iuhasz, G., Tuning logstash garbage collection for high throughput in a monitoring platform, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 782963, pages 359-365, 10.1109/SYNASC.2016.06, 2017
  • Erascu, M., Computational Logic and Quantifier Elimination Techniques for Optimal Numerical Algorithms, Workshop Women in Logic 2017, affiliated to Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), Reykjavik, Iceland, 2017.
  • Frincu, M., Draghici, R., Towards a scalable cloud enabled smart home automation architecture for demand response, IEEE PES Innovative Smart Grid Technologies Conference Europe Part F126485, 7856235, 10.1109/ISGTEurope.2016.7856235, 2017
  • Frincu, M., Giurginca I., Revisiting the Neolithic Sanctuary at Parta Romania: New and Old Arhcaeoastronomical Considerations, Procs. of SEAC conference, 2017
  • Frincu, M., Architecting a hybrid cross layer dew-fog-cloud stack for future data-driven cyber-physical systems, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings

7973456, pp. 399-403, 2017

  • Ivascu, T., Dinis, A., Negru, V., Towards a multi-agent system for medical records processing and knowledge discovery. Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829639, pages 395-399, 10.1109/SYNASC.2016.067, 2017
  • Ivascu, T., Cincar, K., Dinis, A., Negru, V., Activities of daily living and falls recognition and classification from the wearable sensors data, 2017 E-Health and Bioengineering Conference, EHB 2017 7995502, pp. 627-630
  • Kaslik,E., M. Neamtu. Dynamics of a Four-Dimensional Hypothalamic-Pituitary-Adrenal Axis Model with Distributed Delays, CMMSE 2017, Cadiz, Spania, 4-8 July 2017
  • Kaslik, E., Navolan, D.B., Neamţu, M., Stability analysis of a hypothalamic-pituitary-adrenal axis model with inclusion of glucocorticoid receptor and memory, AIP Conference Proceedings, 1798, 20111, 10.1063/1.4972703, 2017
  • Mafteiu-Scai, L.O., Cornigeanu, C.A., A parallel heuristic for bandwidth reduction based on matrix geometry, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829643, pages 424-427, 10.1109/SYNASC.2016.071, 2017
  • Mafteiu-Scai, L.O., Cornigeanu, C.A. Parallel heuristics for systems of equations preconditioning, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829630, pages 319-322, 10.1109/SYNASC.2016.058, 2017
  • Oana, L., Spataru, A., Use of genetic algorithms in numerical weather prediction, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829647, pages 456-461, 10.1109/SYNASC.2016.075, 2017
  • L. Oana, M. Frincu, Benchmarking the WRF Model on Bluegene/P, Cluster, and Cloud Platforms and Accelerating Model Setup through Parallel Genetic Algorithms, Procs. 16th International Symposium on Parallel and Distributed Computing (ISPDC), 2017
  • Onchis, D.M., Zappala, S., Approximate duals of gabor-like frames based on realizable multi-window spline-type constructions, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829599, pages 99-104, 10.1109/SYNASC.2016.027, 2017
  • Petcu, D., Mastering the heterogeneity in HPC as a Service, NESUS Sixth Working Group, Bayreuth, Apr 2017
  • Petcu, D., HPC as a Service: Challenges and Limitations, ISPDC 2017, Innsbruck, July 2017
  • Radoaca, A., Venn diagrams for multisets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829611, pages 187-194, 10.1109/SYNASC.2016.039, 2017
  • Rǎdulescu, I.R., Cândea, D., Kaslik, E., A comparison between the stability properties in a DDE model for leukemia and the modified fractional counterpart, AIP Conference Proceedings, 1798, 20127, 10.1063/1.4972719, 2017
  • Rotovei, D., Multi-agent aspect level sentiment analysis in CRM systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829640, pages 400-407, 10.1109/SYNASC.2016.068, 2017
  • Rotovei, D., Negru, V., A methodology for improving complex sales success in CRM Systems, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017 8001179, pp. 322-327, 2017

  • Tirea, M., Negru, V., Behavioral trading system -detecting crisis, risk and stability in financial markets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829623, pages 279-286, 10.1109/SYNASC.2016.051, 2017
  • A. Vulpe, M. Frincu, Scheduling Data Stream Jobs on Distributed Systems with Background Load, Procs. 3rd International Workshop on Scalable Computing for Real-Time Big Data Applications in conjunction with IEEE/ACM CCGrid, 2017
  • Zaharie, D., Micota, F., Revisiting the Analysis of Population Variance in Differential Evolution Algorithms, CEC 2017-IEEE Congress on Evolutionary Computation, 4-8 June 2017

Publications (last edited 2024-02-24 11:37:59 by DanielaZaharie)