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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]]||

== Recent Publications ==
||<tablewidth="731px" tableheight="30px">Previous years: ||[[Publications/2018|2018]] ||[[Publications/2017|2017]] ||[[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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==== Books/Chapter in books ====
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 * 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 == 2019 ==
=== Journal papers ===
 1. Balint, A.M., Balint, S., Tanasie, L., An axis symmetric 2D description of the growth process of a single crystal hollow tube, grown from the melt by pulling down method. Part.1, Mathematics in Engineering, Science and Aerospace 10(1), pp. 143-162, 2019
 1. Balint, A.M., Balint, S., Tanasie, L., An axis symmetric 2D description of the growth process of a single crystal hollow tube, grown from the melt, by pulling down method. Part 2, Mathematics in Engineering, Science and Aerospace 10(1), pp. 163-174, 2019
 1. Bonchiş, C., Kaslik, E., Roşu, F., HPC optimal parallel communication algorithm for the simulation of fractional-order systems, Journal of Supercomputing, 75(3), pp. 1014-1025, 2019
 1. Brandibur, O., Kaslik, E., Stability Analysis of Two-Dimensional Incommensurate Systems of Fractional-Order Differential Equations, Trends in Mathematics, pp. 77-92, 2019
 1. Drăgan, I., Iuhasz, G., Petcu, D., A Scalable Platform for Monitoring Data Intensive Applications, Journal of Grid Computing (in print), 2019
 1. Drămnesc, I., Jebelean, T., Stratulat, Mechanical synthesis of sorting algorithms for binary trees by logic and combinatorial techniques Journal of Symbolic Computation, 90, pp. 3-41, 2019
 1. Dăianu, D.M., Mîndruţă, C., Polynomials of Arithmetically Homogeneous Functions: Stability and Hyperstability, Results in Mathematics
74(1),59, 2019
 1. Garrappa, R., Kaslik, E., Popolizio, M., Evaluation of fractional integrals and derivatives of elementary functions: Overview and tutorial, Mathematics, 7(5),407, 2019
 1. Deep learning for fault diagnosis and prognosis in manufacturing systems Yan, R., Chen, X., Wang, P., Onchis, D.M. 2019 Computers in Industry
110, pp. 1-2
 1. Pungila, C., Negru, V., Accelerating DNA Biometrics in Criminal Investigations Through GPU-Based Pattern Matching, Advances in Intelligent Systems and Computing, 771, pp. 459-468, 2019
Line 10: Line 20:
==== Conference papers ====
 1. Drămnesc, I., Jebelean, T., Proof–based synthesis of sorting algorithms using multisets in Theorema, Electronic Proceedings in Theoretical Computer Science, EPTCS, 303, pp. 76-91, 2019
 1. Istrate, G., Bonchiș, C., Brîndușescu, A. Attacking power indices by manipulating player reliability. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2019). Montreal, Canada (in print), 2019
 1. Iuhasz, G., Petcu, D., Perspectives on Anomaly and Event Detection in Exascale Systems, Proceedings - 5th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2019, 5th IEEE International Conference on High Performance and Smart Computing, HPSC 2019 and 4th IEEE International Conference on Intelligent Data and Security, IDS 2019, 8819496, pp. 225-229, 2019
 1. Onchis, D.M., Istin, C., Real, P., Refined Deep Learning for Digital Objects Recognition via Betti Invariants, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11678 LNCS, pp. 613-621, 2019
 1. Real, P., Molina-Abril, H., Díaz del Río, F., Onchis, D., Generating second order (co)homological information within at-model context, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11382 LNCS, pp. 68-81, 2019
 1. Real, P., Molina-Abril, H., Díaz-del-Río, F., Blanco-Trejo, S., Onchis, D., Enhanced Parallel Generation of Tree Structures for the Recognition of 3D Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11524 LNCS, pp. 292-301, 2019
  

== 2018 ==
==== Book chapters ====
 1. I Dragan, TF Fortiș, M Neagul, D Petcu, T Selea, A Spataru, Application Blueprints and Service Description, in Heterogeneity, High Performance Computing, Self-Organization and the Cloud, 89-117, 2018
 1. M Frincu, B Irimie, T Selea, A Spataru, A Vulpe, Evaluating Distributed Systems and Applications Through Accurate Models and Simulations, Modeling and Simulation in HPC and Cloud Systems, 1-18, 2018
Line 12: Line 35:

  * 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

  * Frîncu, M.E., Scheduling highly available applications on cloud environments, Future Generation Computer Systems, 32 (1), pp. 138-153, 2014

  * 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

  * 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

  * 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

  * Kutsia, T., Marin, M., Regular expression order-sorted unification and matching, Journal of Symbolic Computation, article in press, 2014

  * 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

  * 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

  * 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

  * 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

  * 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.
 1. Aisenberg, J, Bonet, M.L., Buss, S,, Crăciun, A., Istrate, G., Short proofs of the Kneser–Lovász coloring principle, Information and Computation, vol. 461(2), pp. 296-310, 2018.
 1. Argyros, I.K., Măruşter, S., Predetermining the number of periodic steps in multi-step Newton-like methods for solving equations and systems of equations, Applied Mathematics and Computation, 329, pp. 420-431, 2018
 1. Artinescu, I.M., Mafteiu-Scai, L.O., A Scratch Covering Algorithm Using Affine Projection Method, Mathematics in Computer Science, 12(2), pp. 235-246, 2018
 1. Balint, A.M., Balint, S., A 2D description of the single crystal thin plate growth from the melt by micro- Pulling- down method. Part 2, INCAS Bulletin 10(3), pp. 53-64, 2018
 1. Bonchiş, C., Kaslik, E., Roşu, F., HPC optimal parallel communication algorithm for the simulation of fractional-order systems, Journal of Supercomputing, pp. 1-12, 2018
 1. Carretero, J., Garcia-Blas, J., Antoniu, G., Petcu, D., New directions in mobile, hybrid, and heterogeneous clouds for cyberinfrastructures, Future Generation Computer Systems, 87, pp. 615-617, 2018
 1. Dăianu, D.M., Mîndruţă, C., Arithmetically homogeneous functions: characterizations, stability and hyperstability, Aequationes Mathematicae
92(6), pp. 1061-1077, 2018
 1. Drăgan, I., Selea, T., Fortiş, T.-F., Towards the integration of a HPC build system in the cloud ecosystem, Advances in Intelligent Systems and Computing 611, pp. 916-925, 2018
 1. I Drămnesc, T Jebelean, S Stratulat, Mechanical synthesis of sorting algorithms for binary trees by logic and combinatorial techniques, Journal of Symbolic Computation, 90, 3-41, available online 2018
 1. M. Frincu, Was the Parta Neolithic Sanctuary Astronomically Aligned? Mediterranean Archaeology and Archaeometry 18 (4), 43-51, 2018
 1. Gravvanis, G.A., Morrison, J.P., Petcu, D., Lynn, T., Filelis-Papadopoulos, C.K., Special Issue: Recent trends in cloud computing, Future Generation Computer Systems 79, pp. 700-702, 2018
 1. Kaslik, E., Neamtu, M., Stability and Hopf bifurcation analysis for the hypothalamic-pituitary-adrenal axis model with memory, Mathematical Medicine and Biology, 35(1), pp. 49-78, 2018
 1. Kaslik, E., Neamţu, M., Stability and Hopf bifurcation analysis of a 4-dimensional hypothalamic-pituitary-adrenal axis model with distributed delays, Mathematical Methods in the Applied Sciences, article in press, 2018
 1. Măruşter, Ş., Măruşter, L., Sharp estimation of local convergence radius for the Picard iteration, Journal of Fixed Point Theory and Applications 20(1),28
 1. Măruşter, Ş., Măruşter, L., On the problem of starting points for iterative methods, Numerical Algorithms, article in press, 2018
 1. Onchis, D.M., Zappalà, S., Realizable algorithm for approximating Hilbert–Schmidt operators via Gabor multipliers, Journal of Computational and Applied Mathematics 337, pp. 119-124, 2018
 1. Onchis, D., Zappalà, S., Stability of spline-type systems in the Abelian case, Symmetry 10(1),7, 2017
 1. Popa, C.-A., Kaslik, E., Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays, Neural Networks 99, pp. 1-18, 2018
 1. Pungila, C., Negru, V., FAST: A high-performance architecture for heterogeneous big data forensics, Advances in Intelligent Systems and Computing, 649, pp. 618-627, 2018
 1. S Panica, B Irimie, D Petcu, Enabling and monitoring platform for cloud-based applications, International Journal of High Performance Computing and Networking, 12(4), 328-338, 2018
 1. L.M. Mafteiu-Scai, E. Mafteiu-Scai, R. Mafteiu-Scai, Solving Equations Systems Using Artificial Intelligence - a Survey, International Journal of New Computer Architectures and their Applications (IJNCAA), 8(3), 102-118, 2018
 1. F. Turcu, C. Bonchis, M. Najim, Vector partitions, multi-dimensional Faà di Bruno formulae and generating algorithms, Discrete Applied Mathematics, Available online 24 October 2018
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  * 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
 1. Al Asaad, B., Erascu, M., A tool for fake news detection, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750741, pp. 379-386, 2018
 1. Artinescu, I.M., Boldea, C.R., An image inpainting technique based on parallel projection methods, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750744, pp. 95-98, 2018
 1. Bonchiș, C., Istrate, G., Rochian, V. The language (and series) of Hammersley-type processes. In Proceedings of the 8th Conference on Machines, Computations and Universality (MCU’2018), June 28-30, Fontainebleau, France. Lecture Notes in Computer Science, vol 10881, pp. 69-87, Springer Verlag, 2018
 1. Butunoi, B.-P., Frincu, M., Shapelet based classification of customer consumption patterns, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings 2018-January, pp. 1-6, 2018
 1. Dinis, A., Ivascu, T., Negru, V., A self developing system for medical data analysisProceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750731, pp. 335-339, 2018
 1. M. Erascu, F. Micota and D. Zaharie - Influence of Variables Encoding and Symmetry Breaking on the Performance of Optimization Modulo Theories Tools Applied to Cloud Resource Selection, LPAR-22 Workshop and Short Paper Proceedings, Kalpa Publications in Computing, vol. 9, 2018, pages 1-14.
 1. Erascu, M., Iuhasz, G., Micota, F. , An architecture for a management agency for cloud resources, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750721, pp. 288-295, 2018
 1. Istrate, G. Stochastic Stability in Schelling’s Segregation Model with Markovian Asynchronous Update. In Proceedings of the Fifth International Workshop on Asynchronous Cellular Automata and Asynchronous Discrete Models (ACA’2018), satellite workshop of ACRI’2018, Lake Como, Italy, September 17-21. Lecture Notes in Computer Science, Springer Verlag, 2018
 1. Ivaşcu, T., Diniş, A., Cincar, K., A disease-driven nutrition recommender system based on a multi-agent architecture, ACM International Conference Proceeding Series, 2018
 1. F Micota, M Eraşcu, D Zaharie, Constraint Satisfaction Approaches in Cloud Resource Selection for Component Based Applications, 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), 443-450, 2018
 1. Miok, K, Estimation of prediction intervals in neural network-based regression models, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750721, pp. 463-468, 2018
 1. D. M. Onchis, S. Zappalà, P. Real, C. Istin, Numerical stability of spline-based Gabor-like systems, 2018 26th European Signal Processing Conference (EUSIPCO), 2018
 1. Pungila, C., Galis, D., Negru, V., Optimizing pattern-matching for memory-efficient heterogeneous DNA processing in bioinformatics, SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, 8441000, pp. 455-460, 2018
 1. Pungila, C., Galis, D., Negru, V., Survey on feasibility of pattern matching techniques in heterogeneous architectures for bioinformatics, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750725, pp. 368-375, 2018
 1. C. Pungila, v. Negru, Accelerating DNA Biometrics in Criminal Investigations Through GPU-Based Pattern Matching, The 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, 459-468, 2018
 1. Selea, T., Vulpe, A., Brandibur, O., Erascu M., Zaharie, D., Frincu, M., Benchmarking numerical libraries for flight software prequalification: Extended abstract, AIP Conference Proceedings 1978,470073, 2018
 1. Schuszter I.C., A Comparative Study of Machine Learning Methods for Traffic Sign Recognition, Proc. SYNASC 2017, pp 389-392, 2018.
 1. Spataru, A., Frincu, M., Using cluster information to predict individual customer consumption, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings 2018-January, pp. 1-6, 2018
Line 50: Line 79:
  * 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

  * Erascu, M., Semi-automatic analysis of algorithm complexity (Case study: Square-root computation), SISY 2014 - IEEE 12th International Symposium on Intelligent Systems and Informatics, Proceedings 6923559, pp. 67-72, 2014
Line 54: Line 80:
  * 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

  * 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

  * 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
 
  * 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

  * 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
 
  * 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

  * 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
  

Previous years:

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2019

Journal papers

  1. Balint, A.M., Balint, S., Tanasie, L., An axis symmetric 2D description of the growth process of a single crystal hollow tube, grown from the melt by pulling down method. Part.1, Mathematics in Engineering, Science and Aerospace 10(1), pp. 143-162, 2019
  2. Balint, A.M., Balint, S., Tanasie, L., An axis symmetric 2D description of the growth process of a single crystal hollow tube, grown from the melt, by pulling down method. Part 2, Mathematics in Engineering, Science and Aerospace 10(1), pp. 163-174, 2019
  3. Bonchiş, C., Kaslik, E., Roşu, F., HPC optimal parallel communication algorithm for the simulation of fractional-order systems, Journal of Supercomputing, 75(3), pp. 1014-1025, 2019
  4. Brandibur, O., Kaslik, E., Stability Analysis of Two-Dimensional Incommensurate Systems of Fractional-Order Differential Equations, Trends in Mathematics, pp. 77-92, 2019
  5. Drăgan, I., Iuhasz, G., Petcu, D., A Scalable Platform for Monitoring Data Intensive Applications, Journal of Grid Computing (in print), 2019
  6. Drămnesc, I., Jebelean, T., Stratulat, Mechanical synthesis of sorting algorithms for binary trees by logic and combinatorial techniques Journal of Symbolic Computation, 90, pp. 3-41, 2019
  7. Dăianu, D.M., Mîndruţă, C., Polynomials of Arithmetically Homogeneous Functions: Stability and Hyperstability, Results in Mathematics

74(1),59, 2019

  1. Garrappa, R., Kaslik, E., Popolizio, M., Evaluation of fractional integrals and derivatives of elementary functions: Overview and tutorial, Mathematics, 7(5),407, 2019
  2. Deep learning for fault diagnosis and prognosis in manufacturing systems Yan, R., Chen, X., Wang, P., Onchis, D.M. 2019 Computers in Industry

110, pp. 1-2

  1. Pungila, C., Negru, V., Accelerating DNA Biometrics in Criminal Investigations Through GPU-Based Pattern Matching, Advances in Intelligent Systems and Computing, 771, pp. 459-468, 2019

Conference papers

  1. Drămnesc, I., Jebelean, T., Proof–based synthesis of sorting algorithms using multisets in Theorema, Electronic Proceedings in Theoretical Computer Science, EPTCS, 303, pp. 76-91, 2019
  2. Istrate, G., Bonchiș, C., Brîndușescu, A. Attacking power indices by manipulating player reliability. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2019). Montreal, Canada (in print), 2019
  3. Iuhasz, G., Petcu, D., Perspectives on Anomaly and Event Detection in Exascale Systems, Proceedings - 5th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2019, 5th IEEE International Conference on High Performance and Smart Computing, HPSC 2019 and 4th IEEE International Conference on Intelligent Data and Security, IDS 2019, 8819496, pp. 225-229, 2019

  4. Onchis, D.M., Istin, C., Real, P., Refined Deep Learning for Digital Objects Recognition via Betti Invariants, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11678 LNCS, pp. 613-621, 2019
  5. Real, P., Molina-Abril, H., Díaz del Río, F., Onchis, D., Generating second order (co)homological information within at-model context, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11382 LNCS, pp. 68-81, 2019
  6. Real, P., Molina-Abril, H., Díaz-del-Río, F., Blanco-Trejo, S., Onchis, D., Enhanced Parallel Generation of Tree Structures for the Recognition of 3D Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11524 LNCS, pp. 292-301, 2019

2018

Book chapters

  1. I Dragan, TF Fortiș, M Neagul, D Petcu, T Selea, A Spataru, Application Blueprints and Service Description, in Heterogeneity, High Performance Computing, Self-Organization and the Cloud, 89-117, 2018
  2. M Frincu, B Irimie, T Selea, A Spataru, A Vulpe, Evaluating Distributed Systems and Applications Through Accurate Models and Simulations, Modeling and Simulation in HPC and Cloud Systems, 1-18, 2018

Journal papers

  1. Aisenberg, J, Bonet, M.L., Buss, S,, Crăciun, A., Istrate, G., Short proofs of the Kneser–Lovász coloring principle, Information and Computation, vol. 461(2), pp. 296-310, 2018.
  2. Argyros, I.K., Măruşter, S., Predetermining the number of periodic steps in multi-step Newton-like methods for solving equations and systems of equations, Applied Mathematics and Computation, 329, pp. 420-431, 2018
  3. Artinescu, I.M., Mafteiu-Scai, L.O., A Scratch Covering Algorithm Using Affine Projection Method, Mathematics in Computer Science, 12(2), pp. 235-246, 2018
  4. Balint, A.M., Balint, S., A 2D description of the single crystal thin plate growth from the melt by micro- Pulling- down method. Part 2, INCAS Bulletin 10(3), pp. 53-64, 2018
  5. Bonchiş, C., Kaslik, E., Roşu, F., HPC optimal parallel communication algorithm for the simulation of fractional-order systems, Journal of Supercomputing, pp. 1-12, 2018
  6. Carretero, J., Garcia-Blas, J., Antoniu, G., Petcu, D., New directions in mobile, hybrid, and heterogeneous clouds for cyberinfrastructures, Future Generation Computer Systems, 87, pp. 615-617, 2018
  7. Dăianu, D.M., Mîndruţă, C., Arithmetically homogeneous functions: characterizations, stability and hyperstability, Aequationes Mathematicae

92(6), pp. 1061-1077, 2018

  1. Drăgan, I., Selea, T., Fortiş, T.-F., Towards the integration of a HPC build system in the cloud ecosystem, Advances in Intelligent Systems and Computing 611, pp. 916-925, 2018
  2. I Drămnesc, T Jebelean, S Stratulat, Mechanical synthesis of sorting algorithms for binary trees by logic and combinatorial techniques, Journal of Symbolic Computation, 90, 3-41, available online 2018
  3. M. Frincu, Was the Parta Neolithic Sanctuary Astronomically Aligned? Mediterranean Archaeology and Archaeometry 18 (4), 43-51, 2018
  4. Gravvanis, G.A., Morrison, J.P., Petcu, D., Lynn, T., Filelis-Papadopoulos, C.K., Special Issue: Recent trends in cloud computing, Future Generation Computer Systems 79, pp. 700-702, 2018
  5. Kaslik, E., Neamtu, M., Stability and Hopf bifurcation analysis for the hypothalamic-pituitary-adrenal axis model with memory, Mathematical Medicine and Biology, 35(1), pp. 49-78, 2018
  6. Kaslik, E., Neamţu, M., Stability and Hopf bifurcation analysis of a 4-dimensional hypothalamic-pituitary-adrenal axis model with distributed delays, Mathematical Methods in the Applied Sciences, article in press, 2018
  7. Măruşter, Ş., Măruşter, L., Sharp estimation of local convergence radius for the Picard iteration, Journal of Fixed Point Theory and Applications 20(1),28
  8. Măruşter, Ş., Măruşter, L., On the problem of starting points for iterative methods, Numerical Algorithms, article in press, 2018
  9. Onchis, D.M., Zappalà, S., Realizable algorithm for approximating Hilbert–Schmidt operators via Gabor multipliers, Journal of Computational and Applied Mathematics 337, pp. 119-124, 2018
  10. Onchis, D., Zappalà, S., Stability of spline-type systems in the Abelian case, Symmetry 10(1),7, 2017
  11. Popa, C.-A., Kaslik, E., Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays, Neural Networks 99, pp. 1-18, 2018
  12. Pungila, C., Negru, V., FAST: A high-performance architecture for heterogeneous big data forensics, Advances in Intelligent Systems and Computing, 649, pp. 618-627, 2018
  13. S Panica, B Irimie, D Petcu, Enabling and monitoring platform for cloud-based applications, International Journal of High Performance Computing and Networking, 12(4), 328-338, 2018
  14. L.M. Mafteiu-Scai, E. Mafteiu-Scai, R. Mafteiu-Scai, Solving Equations Systems Using Artificial Intelligence - a Survey, International Journal of New Computer Architectures and their Applications (IJNCAA), 8(3), 102-118, 2018
  15. F. Turcu, C. Bonchis, M. Najim, Vector partitions, multi-dimensional Faà di Bruno formulae and generating algorithms, Discrete Applied Mathematics, Available online 24 October 2018

Conference papers

  1. Al Asaad, B., Erascu, M., A tool for fake news detection, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750741, pp. 379-386, 2018
  2. Artinescu, I.M., Boldea, C.R., An image inpainting technique based on parallel projection methods, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750744, pp. 95-98, 2018
  3. Bonchiș, C., Istrate, G., Rochian, V. The language (and series) of Hammersley-type processes. In Proceedings of the 8th Conference on Machines, Computations and Universality (MCU’2018), June 28-30, Fontainebleau, France. Lecture Notes in Computer Science, vol 10881, pp. 69-87, Springer Verlag, 2018
  4. Butunoi, B.-P., Frincu, M., Shapelet based classification of customer consumption patterns, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings 2018-January, pp. 1-6, 2018
  5. Dinis, A., Ivascu, T., Negru, V., A self developing system for medical data analysisProceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750731, pp. 335-339, 2018
  6. M. Erascu, F. Micota and D. Zaharie - Influence of Variables Encoding and Symmetry Breaking on the Performance of Optimization Modulo Theories Tools Applied to Cloud Resource Selection, LPAR-22 Workshop and Short Paper Proceedings, Kalpa Publications in Computing, vol. 9, 2018, pages 1-14.
  7. Erascu, M., Iuhasz, G., Micota, F. , An architecture for a management agency for cloud resources, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750721, pp. 288-295, 2018
  8. Istrate, G. Stochastic Stability in Schelling’s Segregation Model with Markovian Asynchronous Update. In Proceedings of the Fifth International Workshop on Asynchronous Cellular Automata and Asynchronous Discrete Models (ACA’2018), satellite workshop of ACRI’2018, Lake Como, Italy, September 17-21. Lecture Notes in Computer Science, Springer Verlag, 2018
  9. Ivaşcu, T., Diniş, A., Cincar, K., A disease-driven nutrition recommender system based on a multi-agent architecture, ACM International Conference Proceeding Series, 2018
  10. F Micota, M Eraşcu, D Zaharie, Constraint Satisfaction Approaches in Cloud Resource Selection for Component Based Applications, 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), 443-450, 2018
  11. Miok, K, Estimation of prediction intervals in neural network-based regression models, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750721, pp. 463-468, 2018
  12. D. M. Onchis, S. Zappalà, P. Real, C. Istin, Numerical stability of spline-based Gabor-like systems, 2018 26th European Signal Processing Conference (EUSIPCO), 2018
  13. Pungila, C., Galis, D., Negru, V., Optimizing pattern-matching for memory-efficient heterogeneous DNA processing in bioinformatics, SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, 8441000, pp. 455-460, 2018
  14. Pungila, C., Galis, D., Negru, V., Survey on feasibility of pattern matching techniques in heterogeneous architectures for bioinformatics, Proceedings - 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750725, pp. 368-375, 2018
  15. C. Pungila, v. Negru, Accelerating DNA Biometrics in Criminal Investigations Through GPU-Based Pattern Matching, The 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, 459-468, 2018
  16. Selea, T., Vulpe, A., Brandibur, O., Erascu M., Zaharie, D., Frincu, M., Benchmarking numerical libraries for flight software prequalification: Extended abstract, AIP Conference Proceedings 1978,470073, 2018
  17. Schuszter I.C., A Comparative Study of Machine Learning Methods for Traffic Sign Recognition, Proc. SYNASC 2017, pp 389-392, 2018.
  18. Spataru, A., Frincu, M., Using cluster information to predict individual customer consumption, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings 2018-January, pp. 1-6, 2018

Publications (last edited 2024-10-13 10:44:20 by DanielaZaharie)