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
8. 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
9. 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
10. M. Frincu, Was the Parta Neolithic Sanctuary Astronomically Aligned? Mediterranean Archaeology and Archaeometry 18 (4), 43-51, 2018
11. 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
12. 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
13. 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
14. Măruşter, Ş., Măruşter, L., Sharp estimation of local convergence radius for the Picard iteration, Journal of Fixed Point Theory and Applications 20(1),28
15. Măruşter, Ş., Măruşter, L., On the problem of starting points for iterative methods, Numerical Algorithms, article in press, 2018
16. 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
17. Onchis, D., Zappalà, S., Stability of spline-type systems in the Abelian case, Symmetry 10(1),7, 2017
18. 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
19. 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
20. 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
21. 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
22. 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