Previous years (20xx):

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. 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

6. 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

7. 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

8. 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