A. Matei, S.-A. Precup, D. Circa, A. Gellert, and C.-B. Zamfirescu, “Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory,” Mathematics, vol. 11, no. 7, p. 1723, Apr. 2023, doi: 10.3390/math11071723.

A. Gellert, S.-A. Precup, A. Matei, B.-C. Pirvu, and C.-B. Zamfirescu, “Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions,” Mathematics, vol. 10, no. 15, p. 2725, Aug. 2022, doi: 10.3390/math10152725.

A. Gellert, D. Sarbu, S.-A. Precup, A. Matei, D. Circa, and C.-B. Zamfirescu, “Estimation of Missing LiDAR Data for Accurate AGV Localization,” IEEE Access, vol. 10, pp. 68416–68428, 2022, doi: 10.1109/ACCESS.2022.3185763.

A. Matei, D. Circa, and B. C. Zamfirescu, “Digital Twin for automated guided vehicles fleet management,” Procedia Computer Science, vol. 199, pp. 1363–1369, 2022, doi: 10.1016/j.procs.2022.01.172.

S.-A. Precup, A. Gellert, A. Matei, M. Gita, and C.-B. Zamfirescu, “Towards an Assembly Support System with Dynamic Bayesian Network,” Applied Sciences, vol. 12, no. 3, p. 985, Jan. 2022, doi: 10.3390/app12030985.

A. Gellert, R. Sorostinean, and B.-C. Pirvu, “Robust Assembly Assistance Using Informed Tree Search with Markov Chains,” Sensors, vol. 22, no. 2, p. 495, Jan. 2022, doi: 10.3390/s22020495.

A. Gellert and C.-B. Zamfirescu, “Using Two-Level Context-Based Predictors for Assembly Assistance in Smart Factories,” in Intelligent Methods in Computing, Communications and Control, vol. 1243, I. Dzitac, S. Dzitac, F. G. Filip, J. Kacprzyk, M.-J. Manolescu, and H. Oros, Eds., in Advances in Intelligent Systems and Computing, vol. 1243. , Cham: Springer International Publishing, 2021, pp. 167–176. doi: 10.1007/978-3-030-53651-0_14.

A. Gellert, S.-A. Precup, B.-C. Pirvu, U. Fiore, C.-B. Zamfirescu, and F. Palmieri, “An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems,” Applied Sciences, vol. 11, no. 7, p. 3278, Apr. 2021, doi: 10.3390/app11073278.

R. Sorostinean, A. Gellert, and B.-C. Pirvu, “Assembly Assistance System with Decision Trees and Ensemble Learning,” Sensors, vol. 21, no. 11, p. 3580, May 2021, doi: 10.3390/s21113580.

T. Ghetiu and B.-C. Pirvu, “Insights into SoRa: A Reference Architecture for Cyber-physical Social Systems in the Industry 4.0 Era:,” in Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics, Budapest, Hungary: SCITEPRESS - Science and Technology Publications, 2020, pp. 47–52. doi: 10.5220/0009982300470052.

S. Puscasu, R. A. Voju, A. Matei, and B. C. Zamfirescu, “Architectural Issues in Implementing a Distributed Control System for an Industry 4.0 Prototype,” in 2020 International Conference on Development and Application Systems (DAS), IEEE, May 2020, pp. 56–59. doi: 10.1109/DAS49615.2020.9108924.

M. Neghina and L. Vintan, “Apparent Front Ranking: A Novel Population Ranking Method For Genetic Multi-objective Algorithms,” PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, vol. 21, no. 2, pp. 179–186, 2020.

A. Gellert and C.-B. Zamfirescu, “Assembly support systems with Markov predictors,” Journal of Decision Systems, vol. 29, no. sup1, pp. 63–70, Aug. 2020, doi: 10.1080/12460125.2020.1788798.

V. C. Govoreanu and M. Neghina, “Speech Emotion Recognition method using time-stretching in the Preprocessing Phase and Artificial Neural Network Classifiers,” in 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania: IEEE, Sep. 2020, pp. 69–74. doi: 10.1109/ICCP51029.2020.9266265.

S. Cukovic, R. E. Petruse, G. Meixner, and L. Buchweitz, “Supporting Diagnosis and Treatment of Scoliosis: Using Augmented Reality to Calculate 3D Spine Models in Real-Time - ARScoliosis,” in 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South): IEEE, Dec. 2020, pp. 1926–1931. doi: 10.1109/BIBM49941.2020.9313200.

A.-M. Cruceat and A. Butean, “Assistive Tools for People with Cerebral Palsy: An Eye Tracker Calibration for Vision and Focus Training,” in 2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timisoara, Romania: IEEE, Sep. 2019, pp. 284–289. doi: 10.1109/SYNASC49474.2019.00047.

S. Cukovic, V. Lukovic, W. R. Taylor, W. Birkfellner, R. E. Petruse, and N. Filipovic, “Correlation of Vertebral Absolute Axial Rotations in CAD 3D Models of Adolescent Idiopathic Scoliosis Non-Invasively Diagnosed,” in 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), Athens, Greece: IEEE, Oct. 2019, pp. 316–320. doi: 10.1109/BIBE.2019.00063.

N. F. Cofaru, I. I. Cofaru, R. E. Petruse, M. Rackov, M. Blagojevic, and N. Marjanovic, “Parametrised Design of a Cutting Device Used for High Tibial Osteotomy,” MATEC Web Conf., vol. 299, p. 03011, 2019, doi: 10.1051/matecconf/201929903011.

C.-B. Zamfirescu and M. Neghină, “Collaborative development of a CPS-based production system,” Procedia Computer Science, vol. 162, pp. 579–586, 2019, doi: 10.1016/j.procs.2019.12.026.

A. Tara, K. Ivkushkin, A. Butean, and H. Turesson, “The Evolution of Blockchain Virtual Machine Architecture Towards an Enterprise Usage Perspective,” in Software Engineering Methods in Intelligent Algorithms, vol. 984, R. Silhavy, Ed., in Advances in Intelligent Systems and Computing, vol. 984. , Cham: Springer International Publishing, 2019, pp. 370–379. doi: 10.1007/978-3-030-19807-7_36.

N.-A. Tocu, V.-C. Govoreanu, T.-M. Nitescu, and G.-A. Luca, “Multi-Control Virtual Reality Driving Simulator,” in 2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timisoara, Romania: IEEE, Sep. 2019, pp. 280–283. doi: 10.1109/SYNASC49474.2019.00046.

R. E. Petruse, S. Puşcaşu, A. Pascu, and I. Bondrea, “Key factors towards a high-quality additive manufacturing process with ABS material,” Materials Today: Proceedings, vol. 12, pp. 358–366, 2019, doi: 10.1016/j.matpr.2019.03.136.

M. Neghina, C.-B. Zamfirescu, P. G. Larsen, K. Lausdahl, and K. Pierce, “Multi-Paradigm Discrete-Event Modelling and Co-simulation of Cyber-Physical Systems,” STUD INFORM CONTROL, vol. 27, no. 1, Mar. 2018, doi: 10.24846/v27i1y201804.

F. G. Filip, C.-B. Zamfirescu, and C. Ciurea, Computer-Supported Collaborative Decision-Making, vol. 4. in Automation, Collaboration, & E-Services, vol. 4. Cham: Springer International Publishing, 2017. doi: 10.1007/978-3-319-47221-8.

C. Rasche, C. Ţigăneşteanu, M. Neghină, and A. Sultana, “Cervical Nuclei Classification: Feature Engineering Versus Deep Belief Network,” in Medical Image Understanding and Analysis, vol. 723, M. Valdés Hernández and V. González-Castro, Eds., in Communications in Computer and Information Science, vol. 723. , Cham: Springer International Publishing, 2017, pp. 874–885. doi: 10.1007/978-3-319-60964-5_76.

M. Neghină, R. E. Petruse, S. Olteanu, I. Bondrea, L. Lobonț, and G. Stanciu, “Robotized semiautomatic motorcycle transmission development. Electronic and software design,” MATEC Web Conf., vol. 121, p. 06007, 2017, doi: 10.1051/matecconf/201712106007.

B. C. Pîrvu and C. B. Zamfirescu, “Smart factory in the context of 4 th industrial revolution: challenges and opportunities for Romania,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 227, p. 012094, Aug. 2017, doi: 10.1088/1757-899X/227/1/012094.

J. Dvarioniene, V. Grecu, S. Lai, and F. Scorza, “Four Perspectives of Applied Sustainability: Research Implications and Possible Integrations,” in Computational Science and Its Applications – ICCSA 2017, vol. 10409, O. Gervasi, B. Murgante, S. Misra, G. Borruso, C. M. Torre, A. M. A. C. Rocha, D. Taniar, B. O. Apduhan, E. Stankova, and A. Cuzzocrea, Eds., in Lecture Notes in Computer Science, vol. 10409. , Cham: Springer International Publishing, 2017, pp. 554–563. doi: 10.1007/978-3-319-62407-5_39.

B.-C. Pirvu, C.-B. Zamfirescu, and D. Gorecky, “Engineering insights from an anthropocentric cyber-physical system: A case study for an assembly station,” Mechatronics, vol. 34, pp. 147–159, Mar. 2016, doi: 10.1016/j.mechatronics.2015.08.010.

M. Neghina, C. Rasche, M. Ciuc, A. Sultana, and C. Tiganesteanu, “Automatic detection of cervical cells in Pap-smear images using polar transform and k-means segmentation,” in 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), Oulu, Finland: IEEE, Dec. 2016, pp. 1–6. doi: 10.1109/IPTA.2016.7821038.

M. Franke et al., “Interaction Mechanism of Humans in a Cyber-Physical Environment,” in Dynamics in Logistics, H. Kotzab, J. Pannek, and K.-D. Thoben, Eds., in Lecture Notes in Logistics. , Cham: Springer International Publishing, 2016, pp. 365–374. doi: 10.1007/978-3-319-23512-7_35.

R. E. Petruse and I. Bondrea, “Augmented reality aided product life cycle management collaborative platform,” presented at the International Technology, Education and Development Conference, Valencia, Spain, Mar. 2016, pp. 4652–4659. doi: 10.21125/inted.2016.2160.

D. Kolberg, C. Berger, B.-C. Pirvu, M. Franke, and J. Michniewicz, “CyProF – Insights from a Framework for Designing Cyber-Physical Systems in Production Environments,” Procedia CIRP, vol. 57, pp. 32–37, 2016, doi: 10.1016/j.procir.2016.11.007.

C.-B. Zamfirescu, C. Candea, and C. Radu, “A stigmergic approach for social interaction design in collaboration engineering,” Neurocomputing, vol. 146, pp. 151–163, Dec. 2014, doi: 10.1016/j.neucom.2014.04.061.