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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]] || 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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== Recent Publications (2017) == == 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
 1. '''Flondor, E.''', Donath, L., Neamtu, M., Automatic Card Fraud Detection Based on Decision Tree Algorithm, Applied Artificial Intelligence, 2024, 38(1), 2385249
 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. '''Miok, K.''',Hidalgo Tenorio, E.,Osenova, P.,Benítez-Castro, M.-A., Robnik-Šikonja, M., Multi-aspect multilingual and cross-lingual parliamentary speech analysis, Intelligent Data Analysis, 2024, 28(1), pp. 239–260
 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
Line 5: Line 26:
==== Journal papers ====

 * E. Absalom, N. Okoroafor, S. Buhari, M. Frincu, S. Junaidu, Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets, De Gruyter Press, Journal of Intelligent Systems, vol. 26(1), pp. 169-184, 2017

 * O. Brandibur, E. Kaslik, Stability properties of a two-dimensional system involving one Caputo derivative and applications to the investigation of a fractional-order Morris–Lecar neuronal model, Nonlinear Dynamics, Volume 90, Issue 4, 1 December 2017, Pages 2371-2386

 * V. Casola, A. De Benedictis, M. Eraşcu, J. Modic, M, Rak, Automatically Enforcing Security SLAs in the Cloud, IEEE Transactions on Services Computing 10(5),7430360, pp. 741-755, 2017

 * Ezugwu, A.E.-S., Adewumi, A.O., Frîncu, M.E., Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem, Expert Systems with Applications, volume 77, pages 189-210, 10.1016/j.eswa.2017.01.053, 2017

 * A. Ezugwu, M. Frincu, A. Adewumi, S. Buhari, S. Junaidu, Neural network-based multi-agent approach for scheduling in distributed systems, Concurrency and Computation: Practice and Experience, Wiley Press, vol. 29(1), online DOI: 10.1002/cpe.3887, 2017
 
 * M. Frincu, I. Giurginca, Astronomical Alignments of Paleo-Christian Basilicas in Romania, Journal of Sociology and Anthropology, vol. 5(5), pp. 412-419, 2017

 * Fortiş, T.-F., Munteanu, V.I.,Topics in cloud incident management, 2017, Future Generation Computer Systems, volume 72, pages 163-164, 10.1016/j.future.2016.11.003

 * Kaslik, E., Analysis of two- and three-dimensional fractional-order Hindmarsh-Rose type neuronal models. Fractional Calculus and Applied Analysis, 20(3), 2017

 * Kaslik, E., Radulescu, I.R., Dynamics of complex-valued fractional-order neural networks. Neural Networks, 89:39-49, 2017
 
 * Maruster, S., Maruster, L., Local convergence of generalized Mann iteration, Numerical Algorithms, pages 1-12, 10.1007/s11075-017-0289-x, 2017

 * Măruşter, Ş., Estimating the local radius of convergence for picard iteration Algorithms, 10, pages 1-10, 10.3390/a10010010, 2017

 * Néda, Z., Davidova, L., Újvári, S., Istrate, G., Gambler's ruin problem on Erdős–Rényi graphs, Physica A: Statistical Mechanics and its Applications, 468, pages 147-157, 10.1016/j.physa.2016.10.056, 2017

 * S. Zhang, A. Agathos,J. Li, Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing,IEEE Transactions on Geoscience and Remote Sensing, 2017


==== Book chapters ====

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

 * E. Di Nitto, Petcu, D., Introduction, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, 1-11, 2017		 ==== Conference papers ====
 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. Mitran, M.A., Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, 2024, pp. 1502–1510
 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
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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

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

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

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

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

 * Frincu, M., Draghici, R., Towards a scalable cloud enabled smart home automation architecture for demand response, IEEE PES Innovative Smart Grid Technologies Conference Europe Part F126485, 7856235, 10.1109/ISGTEurope.2016.7856235, 2017
 
 * Frincu, M., Giurginca I., Revisiting the Neolithic Sanctuary at Parta Romania: New and Old Arhcaeoastronomical Considerations, Procs. of SEAC conference, 2017

 * Frincu, M., Architecting a hybrid cross layer dew-fog-cloud stack for future data-driven cyber-physical systems, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings
7973456, pp. 399-403, 2017

 * Ivascu, T., Dinis, A., Negru, V., Towards a multi-agent system for medical records processing and knowledge discovery. Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829639, pages 395-399, 10.1109/SYNASC.2016.067, 2017

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

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

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

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

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

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

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

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

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

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

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

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

 * Rotovei, D., Multi-agent aspect level sentiment analysis in CRM systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829640, pages 400-407, 10.1109/SYNASC.2016.068, 2017
 
 * Rotovei, D., Negru, V., A methodology for improving complex sales success in CRM Systems, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017 8001179, pp. 322-327, 2017

 * Tirea, M., Negru, V., Behavioral trading system -detecting crisis, risk and stability in financial markets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829623, pages 279-286, 10.1109/SYNASC.2016.051, 2017
 
 * A. Vulpe, M. Frincu, Scheduling Data Stream Jobs on Distributed Systems with Background Load, Procs. 3rd International Workshop on Scalable Computing for Real-Time Big Data Applications in conjunction with IEEE/ACM CCGrid, 2017

 * Zaharie, D., Micota, F., Revisiting the Analysis of Population Variance in Differential Evolution Algorithms, CEC 2017-IEEE Congress on Evolutionary Computation, 4-8 June 2017

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. Flondor, E., Donath, L., Neamtu, M., Automatic Card Fraud Detection Based on Decision Tree Algorithm, Applied Artificial Intelligence, 2024, 38(1), 2385249

  3. 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

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

  5. 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

  6. 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

  7. 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

  8. Miok, K.,Hidalgo Tenorio, E.,Osenova, P.,Benítez-Castro, M.-A., Robnik-Šikonja, M., Multi-aspect multilingual and cross-lingual parliamentary speech analysis, Intelligent Data Analysis, 2024, 28(1), pp. 239–260

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

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

  16. 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. Mitran, M.A., Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, 2024, pp. 1502–1510

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

  11. 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

  12. 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

  13. 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)