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||<tablewidth="731px" tableheight="30px">Previous years: ||[[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]] || Previous years (20xx):
||[[Publications/2021|2021]] || [[Publications/2022|2022]] || [[Publications/2023|2023]] ||
||[[Publications/2020|2020]] ||[[Publications/2019|2019]] ||[[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]] ||
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== 2018 ==
==== Book chapters ====
 1. I Dragan, TF Fortiș, M Neagul, D Petcu, T Selea, A Spataru, 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
 == 2024 ==
Line 10: Line 9:
 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. 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. 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,
 1. M. Frincu, Was the Parta Neolithic Sanctuary Astronomically Aligned? Mediterranean Archaeology and Archaeometry 18 (4), 43-51, 2018		  1. '''Culda, L.C.''', '''Kaslik, E.''', Neamţu, M.,Sîrghi, N., Dynamics of a discrete-time mixed oligopoly Cournot-type model with three time delays, Mathematics and Computers in Simulation, 2024, 226, pp. 524–539
 1. Harding, L., Kaslik, E., Neamtu, M., Flavia Vesa, L., A five-dimensional unemployment model with two distributed time delays, Mathematical Methods in the Applied Sciences, 2024, 47(11), pp. 8969–8984
 1. '''Kaslik, E.''', '''Kökövics, E.-A.''', Rădulescu, A., Stability of coupled Wilson–Cowan systems with distributed delays, Chaos, Solitons and Fractals 179,114420, 2024
 1. '''Galiş, D.''', '''Pungila, C.''', '''Negru, V.''',Realtime polymorphic malicious behavior detection in blockchain-based smart contracts, Logic Journal of the IGPL, 2024, 32(2), pp. 210–223
 1. Ileșan, R.R., '''Ștefănigă, S.-A.''', '''Fleșar, R.''', ..., Perju-Dumbravă, L., Faragó, P., In Silico Decoding of Parkinson’s: Speech & Writing Analysis, Journal of Clinical Medicine, 2024, 13(18), 5573
 1. Kononova, A.V., Vermetten, D., Caraffini, F., '''Mitran, M.''', '''Zaharie, D.''', The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation, 2024, 32(1), pp. 3–48
 1. Mondal, A., '''Kaslik, E.''', Sharma, S.K., Chakraborty, C., Aziz-Alaoui, M.A.,Emergent dynamics in fractional-order Wilson–Cowan neural network systems,Chaos, Solitons and Fractals, 2024, 181, 114687
 1. Neculae, A., Barnett, Z.C., '''Miok, K.''', (...), Stoeckel, J.A., Pârvulescu, L., Living on the edge: Crayfish as drivers to anoxification of their own shelter microenvironment, PLoS ONE 19(1 January),e0287888, 2024
 1. Díaz-del-Río, F., Molina-Abril, H., Real, P., '''Onchis, D.''', Blanco-Trejo, S., Parallel homological calculus for 3D binary digital images, Annals of Mathematics and Artificial Intelligence, 2024
 1. '''Onchis, D.''', Istin, C.,'''Samuila, I.''', Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge, Machine Learning and Knowledge Extraction, 2024, 6(3), pp. 1921–1935
 1. '''Onchis, D.M.''',''' Costi, F.''', Istin, C., Secasan, C.C., Cozma, G.V., Method of Improving the Management of Cancer Risk Groups by Coupling a Features-Attention Mechanism to a Deep Neural Network, Applied Sciences (Switzerland), 2024, 14(1), 447
 1. '''Selea, T.''', AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning, Remote Sensing, 2023, 15(12), 2980
 1. '''Spătaru, A.''', Aperribay, J., CONFIGURATION OF CONTAINER DEPLOYMENTS ON THE COMPUTE CONTINUUM USING ALIEN4CLOUD, Scalable Computing, 2024, 25(1), pp. 607–613
 1. Valcan, S., '''Gaianu, M.''', Complete Convolutional Neural Networks Environment for Computer Vision Problems With Nvidia Drive AGX Xavier, Communications in Computer and Information Science, 2024, 2165 CCIS, pp. 83–93
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 * 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
 * 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
 * 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
 * Ivaşcu, T., Diniş, A., Cincar, K., A disease-driven nutrition recommender system based on a multi-agent architecture, ACM International Conference Proceeding Series, 2018
 * 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
 * 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
 * Schuszter I.C., A Comparative Study of Machine Learning Methods for Traffic Sign Recognition, Proc. SYNASC 2017, pp 389-392, 2018.
 * 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		  1. '''Babuc, D.''', '''Fortiş, A.-E.''', A Customizable Intelligent System for Cervical Cytology Image Classifications Lecture Notes on Data Engineering and Communications Technologies, 87, pp. 82–93, 2024
 1. '''Butunoi, B.-P.''', Stolojescu-Crisan, C., '''Negru, V.''', Blood Glucose Prediction in Type 1 Diabetes Based on Long Short-Term Memory, Communications in Computer and Information Science, 2024, 2166 CCIS, pp. 458–469
 1. '''Butunoi, B.-P.''', Stolojescu-Crisan, C., '''Negru, V.''',Short-term glucose prediction in Type 1 Diabetes, Procedia Computer Science, 2024, 238, pp. 41–48
 1. '''Bogdan, V.''', '''Bonchiş, C.''', Orhei, C., An Image Sharpening Technique Based on Dilated Filters and 2D-DWT Image Fusion, Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, pp. 591–598, 2024
 1. '''Drămnesc, I.''', '''Jebelean, T.''', Stratulat, S., Certification of Sorting Algorithms Using Theorema and Coq, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14991 LNAI, pp. 38–56, 2024
 1. '''Eraşcu, M.''', Fast and Exact Synthesis of Application Deployment Plans using Graph Neural Networks and Satisfiability Modulo Theory, Proceedings of the International Joint Conference on Neural Networks, 2024
 1. '''Iuhasz, G.''', '''Panica, S.''', '''Fortis, F.''', Duma, A., A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems, Lecture Notes on Data Engineering and Communications Technologies, 2024, 200, pp. 437–450
 1. Maghiar, O., Copie, A., '''Selea, T.''', '''Micota, F.''', '''Marin, M.''', '''Zaharie, D.''', Țepeneu, I.,Behaviour Analysis of Trajectory and Population-Based Metaheuristics on Flexible Assembly Scheduling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024, 14754 LNCS, pp. 80–95
 1. Mozyrska, D., '''Kaslik, E.''', Wyrwas, M., Oziablo, P.,Discrete-time fractional variable order Duffing oscillator,IFAC-PapersOnLine, 2024, 58(12), pp. 395–400
 1. '''Munteanu, A.''', '''Panica, S.''', '''Iuhasz, G.''', On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment, Lecture Notes on Data Engineering and Communications Technologies, 2024, 203, pp. 191–200, 2024
 1. '''Puiu, I.-L.''', '''Fortiș, T.-F.''', The Efficiency of Building Maintenance Using Digital Twins: A Literature Review, Lecture Notes on Data Engineering and Communications Technologies, 203, pp. 201–211, 2024
 1. '''Urechiatu, R.''', '''Frincu, M.''', Improved Galaxy Morphology Classification with Convolutional Neural Networks, Universe, 2024, 10(6), 230
 
 

Previous years (20xx):

2021

2022

2023

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2024

Journal papers

  1. Culda, L.C., Kaslik, E., Neamţu, M.,Sîrghi, N., Dynamics of a discrete-time mixed oligopoly Cournot-type model with three time delays, Mathematics and Computers in Simulation, 2024, 226, pp. 524–539

  2. Harding, L., Kaslik, E., Neamtu, M., Flavia Vesa, L., A five-dimensional unemployment model with two distributed time delays, Mathematical Methods in the Applied Sciences, 2024, 47(11), pp. 8969–8984

  3. Kaslik, E., Kökövics, E.-A., Rădulescu, A., Stability of coupled Wilson–Cowan systems with distributed delays, Chaos, Solitons and Fractals 179,114420, 2024

  4. Galiş, D., Pungila, C., Negru, V.,Realtime polymorphic malicious behavior detection in blockchain-based smart contracts, Logic Journal of the IGPL, 2024, 32(2), pp. 210–223

  5. Ileșan, R.R., Ștefănigă, S.-A., Fleșar, R., ..., Perju-Dumbravă, L., Faragó, P., In Silico Decoding of Parkinson’s: Speech & Writing Analysis, Journal of Clinical Medicine, 2024, 13(18), 5573

  6. Kononova, A.V., Vermetten, D., Caraffini, F., Mitran, M., Zaharie, D., The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation, 2024, 32(1), pp. 3–48

  7. Mondal, A., Kaslik, E., Sharma, S.K., Chakraborty, C., Aziz-Alaoui, M.A.,Emergent dynamics in fractional-order Wilson–Cowan neural network systems,Chaos, Solitons and Fractals, 2024, 181, 114687

  8. Neculae, A., Barnett, Z.C., Miok, K., (...), Stoeckel, J.A., Pârvulescu, L., Living on the edge: Crayfish as drivers to anoxification of their own shelter microenvironment, PLoS ONE 19(1 January),e0287888, 2024

  9. Díaz-del-Río, F., Molina-Abril, H., Real, P., Onchis, D., Blanco-Trejo, S., Parallel homological calculus for 3D binary digital images, Annals of Mathematics and Artificial Intelligence, 2024

  10. Onchis, D., Istin, C.,Samuila, I., Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge, Machine Learning and Knowledge Extraction, 2024, 6(3), pp. 1921–1935

  11. Onchis, D.M., Costi, F., Istin, C., Secasan, C.C., Cozma, G.V., Method of Improving the Management of Cancer Risk Groups by Coupling a Features-Attention Mechanism to a Deep Neural Network, Applied Sciences (Switzerland), 2024, 14(1), 447

  12. Selea, T., AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning, Remote Sensing, 2023, 15(12), 2980

  13. Spătaru, A., Aperribay, J., CONFIGURATION OF CONTAINER DEPLOYMENTS ON THE COMPUTE CONTINUUM USING ALIEN4CLOUD, Scalable Computing, 2024, 25(1), pp. 607–613

  14. Valcan, S., Gaianu, M., Complete Convolutional Neural Networks Environment for Computer Vision Problems With Nvidia Drive AGX Xavier, Communications in Computer and Information Science, 2024, 2165 CCIS, pp. 83–93

Conference papers

  1. Babuc, D., Fortiş, A.-E., A Customizable Intelligent System for Cervical Cytology Image Classifications Lecture Notes on Data Engineering and Communications Technologies, 87, pp. 82–93, 2024

  2. Butunoi, B.-P., Stolojescu-Crisan, C., Negru, V., Blood Glucose Prediction in Type 1 Diabetes Based on Long Short-Term Memory, Communications in Computer and Information Science, 2024, 2166 CCIS, pp. 458–469

  3. Butunoi, B.-P., Stolojescu-Crisan, C., Negru, V.,Short-term glucose prediction in Type 1 Diabetes, Procedia Computer Science, 2024, 238, pp. 41–48

  4. Bogdan, V., Bonchiş, C., Orhei, C., An Image Sharpening Technique Based on Dilated Filters and 2D-DWT Image Fusion, Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, pp. 591–598, 2024

  5. Drămnesc, I., Jebelean, T., Stratulat, S., Certification of Sorting Algorithms Using Theorema and Coq, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14991 LNAI, pp. 38–56, 2024

  6. Eraşcu, M., Fast and Exact Synthesis of Application Deployment Plans using Graph Neural Networks and Satisfiability Modulo Theory, Proceedings of the International Joint Conference on Neural Networks, 2024

  7. Iuhasz, G., Panica, S., Fortis, F., Duma, A., A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems, Lecture Notes on Data Engineering and Communications Technologies, 2024, 200, pp. 437–450

  8. Maghiar, O., Copie, A., Selea, T., Micota, F., Marin, M., Zaharie, D., Țepeneu, I.,Behaviour Analysis of Trajectory and Population-Based Metaheuristics on Flexible Assembly Scheduling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024, 14754 LNCS, pp. 80–95

  9. Mozyrska, D., Kaslik, E., Wyrwas, M., Oziablo, P.,Discrete-time fractional variable order Duffing oscillator,IFAC-PapersOnLine, 2024, 58(12), pp. 395–400

  10. Munteanu, A., Panica, S., Iuhasz, G., On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment, Lecture Notes on Data Engineering and Communications Technologies, 2024, 203, pp. 191–200, 2024

  11. Puiu, I.-L., Fortiș, T.-F., The Efficiency of Building Maintenance Using Digital Twins: A Literature Review, Lecture Notes on Data Engineering and Communications Technologies, 203, pp. 201–211, 2024

  12. Urechiatu, R., Frincu, M., Improved Galaxy Morphology Classification with Convolutional Neural Networks, Universe, 2024, 10(6), 230

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