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||<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]] || ||<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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== Recent Publications (2017)==

== 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

==== 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 6: Line 35:
 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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* 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

* 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


==== 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 ====
 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
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==== 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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:

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)