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== 2021 ==		 == 2024 ==
Line 11: Line 9:
 1. Drămnesc, I., Jebelean, T., Synthesis of sorting algorithms using multisets in Theorema, Journal of Logical and Algebraic Methods in Programming, 2021, 119, 100635
 1. Eraşcu, M., Micota, F., Zaharie, D., Scalable optimal deployment in the cloud of component-based applications using optimization modulo theory, mathematical programming and symmetry breaking, Journal of Logical and Algebraic Methods in Programming, 2021, 121, 100664
 1. Kaslik, E., Neamţu, M., Vesa, L.F., Global stability analysis of an unemployment model with distributed delay, Mathematics and Computers in Simulation, 2021, 185, pp. 535–546
 1. Miok, K., Škrlj, B., Zaharie, D., Robnik-Šikonja, M., To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection, Cognitive Computation, 2021
 1. Onchis, D.M., Gillich, G.-R., Stable and explainable deep learning damage prediction for prismatic cantilever steel beam, Computers in Industry, 2021, 125, 103359
 1. Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu. The Maximum Binary Tree Problem. Algorithmica (to appear, 2021). Journal version of paper in Proceedings of the 28th European Symposium on Algorithms (ESA'2020).		  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. Neamt, R.I.,Cziszter, L.T.,Saplacan, G.,..., Mizeranschi A., ..., Anton, A.S.,Ilie, D.E.,Effect of non-genetic factors on milk yield in a Romanian Spotted dual purpose breed, South African Journal of Animal Science, 2024, 54(2), pp. 186–196
 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 19: Line 28:
 1. G. Istrate. Models We Can Trust: Towards a Systematic Discipline of (Agent-Based) Model Interpretation and Validation. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS'2021, pp.6-11. IFAAMAS and ACM Press.
 1. G. Istrate. Game-theoretic Models of Moral and Other-Regarding Agents. Proceedings of the 18th Conference on Theoretical Aspects of Rationality and Knowledge (TARK'2021), June 25-27, 2021, Tsinghua University, Beijing, China (online), Electronic Proceedings in Theoretical Computer Science (to appear).
 1. G. Istrate, C. Bonchis and A. Craciun. Kernelization, Proof Complexity and Social Choice. Proceedings of the 48th International Colloquium on Automata, Languages, and Programming (ICALP). July, 12 - 16 2021. Glasgow, Scotland (online), Leibniz International Proceedings in Informatics (LIPICS, to appear).

== 2020 ==
==== Journal papers ====
 1. Turcu, F., Bonchiș C., Najim M. Vector partitions, multi-dimensional Faà di Bruno formulae and generating algorithms. Discrete Applied Mathematics, vol 272(2020), pp. 90-99, Elsevier.
 1. Balogh, J., Bonchiş C., Diniş D., Istrate G., Todinca I. On the heapability of finite partial orders. Discrete Mathematics and Theoretical Computer Science, vol 22, no 1 (2020), paper #17.
 1. R Garrappa, E Kaslik. Stability of fractional-order systems with Prabhakar derivatives. Nonlinear Dynamics, 1-12.
 1. CA Popa, E Kaslik. Finite-Time Mittag–Leffler Synchronization of Neutral-Type Fractional-Order Neural Networks with Leakage Delay and Time-Varying Delays. Mathematics 8 (7), 1146.
 1. R Garrappa, E Kaslik. On initial conditions for fractional delay differential equations. Communications in Nonlinear Science and Numerical Simulation, 105359.
 1. E Kaslik, M Neamţu. Dynamics of a tourism sustainability model with distributed delay. Chaos, Solitons & Fractals 133, 109610.
 1. M Reja, C Pungila, V Negru. Towards real-time DNA biometrics using GPU-accelerated processing. Logic Journal of the IGPL. Advanced Article jzaa034, https://doi.org/10.1093/jigpal/jzaa034
 1. D.Onchis, C. Istin, C. Tudoran, M. Tudoran, P. Real. Timely-automatic procedure for estimating the endocardial limits of the left ventricle assessed echocardiographically in clinical practice. Diagnostics 10 (1), 40
 1. Pungila, C., Negru, V., Improving Blockchain Security Validation and Transaction Processing Through Heterogeneous Computing, Advances in Intelligent Systems and Computing, 2020, 951, pp. 132–140
 1. Bogdan, V., Bonchiş, C., Orhei, C., Custom dilated edge detection filters, Journal of WSCG, 2020, 2020(2020), pp. 161–168
 1. SPĂTARU, A., DECENTRALIZED AND FAULT TOLERANT CLOUD SERVICE ORCHESTRATION, Scalable Computing, 2020, 21(4), pp. 709–725
 1. Balint, A.M., Balint, S., Tanasie, L., Mathematical description of the bulk gas flow and that of the content impurity dispersion, which use temporal Caputo or Riemann-Liouville fractional order partial derivatives is nonobjective, Mathematics in Engineering, Science and Aerospace, 2020, 11(3), pp. 699–712

==== Conference papers ====
 1. Istrate G., Bonchiș C., Gatina C. It's not whom you know, it's what you (or your friends) can do: Coalitional Frameworks for Network Centralities. Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS'2020, pp. 566-574. IFAAMAS and ACM Press.
 1. Besik Dundua, Temur Kutsia, Mircea Marin and Cleopatra Pau. Constraint Solving over Multiple Similarity Relations. In Proceedings of 5-th International Conference on Formal Structures for Computation and Deduction (FSCD 2020).
 1. Mircea Marin, Besik Dundua and Temur Kutsia. A Rule-based System for Computation and Deduction in Mathematica. In Proceedings of 13-th International Workshop on Rewriting Logic And Its Applications (WRA 2020).
 1. B. Dundua, T. Kutsia, M. Marin, C. Pau. Extending the \rho Log calculus with proximity relations. In Proceedings of the Fourth International Conference on Applications of Mathematics and Informatics in Natural Sciences and Engineering (AMINSE 2019), Springer Proceedings in Mathematics & Statistics.
 1. B. Dundua, T. Kutsia, M. Marin, and M. Rukhaia. Specification and Analysis of ABAC Policies in a Rule-Based Framework. In Proceedings of the Fourth International Conference on Applications of Mathematics and Informatics in Natural Sciences and Engineering (AMINSE 2019), Springer Proceedings in Mathematics & Statistics.
 1. Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu. The Maximum Binary Tree Problem. In Proceedings of the 28th European Symposium on Algorithms (ESA'2020), Leibniz Institute Proceedings in Computer Science (LIPICS), vol. 173, paper #30.
 1. Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu. Fixed-Parameter Algorithms for Longest Heapable Subsequence and Maximum Binary Tree. In Proceedings of the 15th International Symposium on Parameterized and Exact Computation (IPEC’2020), Leibniz Institute Proceedings in Computer Science (LIPICS), vol. 180, to appear.
 1. V. Kashansky, D. Kimovski, R. Prodan, P. Agrawal, F. Marozzo G. Iuhasz, M. Justyna, J. Garcia-Blas. M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
 1. Isabela Drămnesc, Tudor Jebelean. Deductive Synthesis of Min-Max-Sort Using Multisets in Theorema. 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI).
 1. Isabela Drămnesc, Tudor Jebelean. Deductive Synthesis of Bubble–Sort Using Multisets. 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI) 1.Drămnesc, I., Jebelean, T., Automatic Synthesis of Merging and Inserting Algorithms on Binary Trees Using Multisets in Theorema, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 11989 LNCS, pp. 153–168
 1. Doan, D.N., Zaharie, D., Petcu, D., Auto-scaling for a Streaming Architecture with Fuzzy Deep Reinforcement Learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 11997 LNCS, pp. 476–488
 1. Muresan, R., Zaharia, C., Zaharie, D., Using additive Bayesian networks and association rules in antimicrobial resistance analysis, 2020 8th E-Health and Bioengineering Conference, EHB 2020, 2020, 09280255
 1. Rotovei, D., Zaharie, D., Negru, V., Pop, D., A decision support system for B2B CRM Systems using belief rules, Proceedings - 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing, ICCP 2020, 2020, pp. 131–138, 9266259
 1. Lungeanu, D., Dragan, I., Muntean, C., Timar, B., Harnessing information technology while teaching in distress: The pandemic toll vs: The opportunity of long-awaited paradigm shift, 2020 8th E-Health and Bioengineering Conference, EHB 2020, 2020, 9280122
 1. Talia, D., Trunfio, P., Marozzo, F., ...Spătaru, A., Justyna, M., A Novel Data-Centric Programming Model for Large-Scale Parallel Systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 11997 LNCS, pp. 452–463
 1. Cincar, K., Hospital management and scheduling with multi-agents approach, 2020 8th E-Health and Bioengineering Conference, EHB 2020, 2020, 9280281
 1. Cincar, K., Sima, I., Machine Learning algorithms approach for Gastrointestinal Polyps classification INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings, 2020, 9194659
 1. Codreanu, I.-A., Cincar, K., Towards improving crowdsourcing learning for students by using artificial intelligence, eLearning and Software for Education Conference, 2020, pp. 76–83		  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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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. Neamt, R.I.,Cziszter, L.T.,Saplacan, G.,..., Mizeranschi A., ..., Anton, A.S.,Ilie, D.E.,Effect of non-genetic factors on milk yield in a Romanian Spotted dual purpose breed, South African Journal of Animal Science, 2024, 54(2), pp. 186–196

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

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

  17. 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)