2023

Abstract

Ali, M. F., & Jayakody, D. N. K. (2023). Corrigendum to “SIMO-Underwater Visible Light Communication (UVLC) system” Computer Networks. 2023 May 9:109750 (Computer Networks (2023) 232, (S1389128623001950), (10.1016/j.comnet.2023.109750)). Computer Networks, 234. https://doi.org/10.1016/j.comnet.2023.109942

Ali, M. F., Jayakody, D. N. K., Beko, M., & Correia, S. (2023). Performance evaluation of vertical VLC link in mixed water mediums. In Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 (pp. 195-199). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIoT57267.2023.10084904

Ali, S. M., Beko, M., Vukobratović, D., & Stefanović, �. (2023). On the Performance of the Free-Access Tree Algorithm with MPR, SIC, and Single-Slot Memory. In 2023 International Balkan Conference on Communications and Networking, BalkanCom 2023 . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BalkanCom58402.2023.10167996

Basnayaka, C. M., Jayakody, D. N. K., & Beko, M. (2023). Semantics-Empowered UAV-assisted Wireless Communication System for Wildfire Detection. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 (pp. 152-157). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD59638.2023.10478404

Chilkunda, A., Nakama, S., Chilkunda, V., Pedro, D., Matos-carvalho, J. P., & Campos, L. (2023). UAV-based Scenario Builder and Physical Testing platform for Autonomous Vehicles. In Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 (pp. 77-84). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIoT57267.2023.10084885

Cipriano, B. P., & Alves, P. (2023). GPT-3 vs Object Oriented Programming Assignments. In ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education (pp. 61-67). Association for Computing Machinery. https://doi.org/10.1145/3587102.3588814

De Souza, G. A., Lopes, M. D., Da Rocha Fernandes, A. M., Leithardt, V. R. Q., & Crocker, P. (2023). Comparação de Abordagens de Análise de Sentimentos Aplicadas em Jogos Digitais. In 2023 18th Iberian Conference on Information Systems and Technologies, CISTI 2023 . IEEE Computer Society. https://doi.org/10.23919/CISTI58278.2023.10211536

Devaja, T., Petkovic, M., Munari, A., Clazzer, F., Beko, M., & Vukobratovic, D. (2023). Massive Machine-Type Communications via Hybrid OWC/RF Networks in Finite Block-Length Regime. In 2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 - Proceedings . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC55385.2023.10118842

Fachada, N., & Andrade, D. N. D. M. G. D. (2023). Automated Generation of Map Pieces for Snappable Meshes. In Proceedings of the 18th International Conference on the Foundations of Digital Games, FDG 2023 . Association for Computing Machinery. https://doi.org/10.1145/3582437.3582483

Freitas, E. G., Matos-carvalho, J. P., & Tavares, R. M. (2023). Ripening Assessment Classification using Artificial Intelligence Algorithms with Electrochemical Impedance Spectroscopy Data. In Proceedings - 2023 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2023 (pp. 20-25). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/YEF-ECE58420.2023.10209289

Freitas, M., De Aquino Piai, V., Dazzi, R., Teive, R., Parreira, W., Fernandes, A., Pires, I. M., & Leithardt, V. R. Q. (2023). Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection. In Mobile and Ubiquitous Systems (pp. 559-570). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34776-4_29

Matos-carvalho, J. P., Correia, S. D., & Tomic, S. (2023). Sensitivity Analysis of LSTM Networks for Fall Detection Wearable Sensors. In Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 (pp. 112-118). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIoT57267.2023.10084906

Sampaio, P. N., Duarte, F. B., & Calado, C. R. (2023). New approach for rapid detection of bioactive compounds using MIR spectroscopy and machine learning algorithms. In 2023 IEEE 7th Portuguese Meeting on Bioengineering, ENBENG 2023 (pp. 132-135). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ENBENG58165.2023.10175326

Santos, F., Silvestre, D., & Cunha, R. (2023). Development and Experimental Validation of a LoRa Wireless Sensor Network for Wildfire Surveillance. In 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 (pp. 911-917). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA54093.2023.10252472

Santos, R. P. D., Beko, M., & Leithardt, V. R. (2023). Package Proposal for Data Pre-Processing for Machine Learning Applied to Precision Irrigation. In Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 (pp. 141-148). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIoT57267.2023.10084899

Silvestre, D. (2023). Exact Set-valued Estimation using Constrained Convex Generators for uncertain Linear Systems. In IFAC-PapersOnLine (pp. 9461-9466). Elsevier B.V.. https://doi.org/10.1016/j.ifacol.2023.10.241

Silvestre, D. (2023). Privacy Assessment for Linear Consensus using Constrained Convex Generators. In 2023 62nd IEEE Conference on Decision and Control, CDC 2023 (pp. 8045-8050). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC49753.2023.10384271

Araújo, R. S. A., Tironi, J. C., Parreira, W. D., Borges, R. C., De Paz Santana, J. F., & Leithardt, V. R. Q. (2023). Analysis of Adaptive Algorithms Based on Least Mean Square Applied to Hand Tremor Suppression Control. Applied Sciences (Switzerland), 13(5). https://doi.org/10.3390/app13053199

Brajović, M., Orović, I., Beko, M., & Stanković, S. (2023). Reconstruction of signals with sparse representation in optimally dilated Hermite basis. Signal, Image and Video Processing, 17(6), 2789-2797. https://doi.org/10.1007/s11760-023-02496-0

Caceres Najarro, L. A., Song, I., Tomic, S., Salman, M., Noh, Y., & Kim, K. (2023). Evolutionary Tracking Algorithm Based on Combined Received Signal Strength and Angle of Arrival Measurements in Wireless Sensor Networks. IEEE Sensors Journal, 23(19), 23734-23743. https://doi.org/10.1109/JSEN.2023.3308913

De Liz Bomer, R. V., Zeferino, C. A., Seman, L. O., & Leithardt, V. R. Q. (2023). Worst-Case Communication Time Analysis for On-Chip Networks With Finite Buffers. IEEE Access, 11, 25120-25131. https://doi.org/10.1109/ACCESS.2023.3255516

De Moura Costa, H. J., Da Costa, C. A., Antunes, R. S., Da Rosa Righi, R., Crocker, P. A., & Leithardt, V. R. Q. (2023). ID-Care. IEEE Access, 11, 33455-33469. https://doi.org/10.1109/ACCESS.2023.3249109

Fachada, N., & De Andrade, D. (2023). Generating multidimensional clusters with support lines. Knowledge-Based Systems, 277(9). https://doi.org/10.1016/j.knosys.2023.110836

Ferlini, F., Viel, F., Seman, L. O., Pettenghi, H., Bezerra, E. A., & Leithardt, V. R. Q. (2023). A Methodology for Accelerating FPGA Fault Injection Campaign Using ICAP. Electronics (Switzerland), 12(4). https://doi.org/10.3390/electronics12040807

Fernandes, A. M. D. R., Cassaniga, M. J., Passos, B. T., Comunello, E., Stefenon, S. F., & Leithardt, V. R. Q. (2023). Detection and classification of cracks and potholes in road images using texture descriptors. Journal of Intelligent and Fuzzy Systems, 44(6), 10255-10274. https://doi.org/10.3233/JIFS-223218

Fernandes, V., Cravo, N., Monteiro, H. L., Jayakody, D. N. K., Poor, H. V., & Ribeiro, M. V. (2023). Energy Harvesting in the UNB-PLC Spectrum. IEEE Internet of Things Journal, 10(2), 1236-1247. https://doi.org/10.1109/JIOT.2022.3209531

Furqan Ali, M., & Jayakody, D. N. K. (2023). SIMO-Underwater Visible Light Communication (UVLC) system. Computer Networks, 232. https://doi.org/10.1016/j.comnet.2023.109750

Luguesi, C., Camponogara, E., Seman, L. O., Gonzalez, J. T., & Leithardt, V. R. Q. (2023). Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network. IEEE Access, 11, 8950-8967. https://doi.org/10.1109/ACCESS.2023.3239421

Morais, R., Crocker, P., & Leithardt, V. (2023). Nero. Algorithms, 16(1). https://doi.org/10.3390/a16010038

Raimundo, A., Pavia, J. P., Sebastião, P., & Postolache, O. (2023). YOLOX-Ray. Sensors (Basel, Switzerland), 23(10). https://doi.org/10.3390/s23104681

Sabapathy, S., Maruthu, S., Kumar, L. S., & Jayakody, D. N. K. (2023). Outage Analysis of Sparse Vector Coding-Based Downlink Multicarrier NOMA for URLLC. IEEE Internet of Things Journal, 10(14), 12393-12400. https://doi.org/10.1109/JIOT.2023.3246300

Sampaio, P. S., Carbas, B., & Brites, C. (2023). Development of Prediction Models for the Pasting Parameters of Rice Based on Near-Infrared and Machine Learning Tools. Applied Sciences (Switzerland), 13(16). https://doi.org/10.3390/app13169081

Santos, R. P. D., Fachada, N., Beko, M., & Leithardt, V. (2023). A rapid review on the use of free and open source technologies and software applied to precision agriculture practices. Journal of Sensor and Actuator Networks, 12(2). https://doi.org/10.3390/jsan12020028

Silvestre, D., & Ramos, G. (2023). Model Predictive Control With Collision Avoidance for Unknown Environment. IEEE Control Systems Letters, 7, 2821-2826. https://doi.org/10.1109/LCSYS.2023.3288884

Stanković, M. S., Beko, M., & Stanković, S. S. (2023). Distributed consensus-based multi-agent temporal-difference learning. Automatica, 151. https://doi.org/10.1016/j.automatica.2023.110922

Stanković, M. S., Beko, M., Ilić, N., & Stanković, S. S. (2023). Multi-agent off-policy actor-critic algorithm for distributed multi-task reinforcement learning. European Journal of Control, 74. https://doi.org/10.1016/j.ejcon.2023.100853

Tomic, S., & Beko, M. (2023). A Min-Max Optimization-Based Approach for Secure Localization in Wireless Networks. IEEE Transactions on Vehicular Technology, 73(3), 4151-4161. https://doi.org/10.1109/TVT.2023.3325063

Velez, V. R., Pavia, J. P. C., Souto, N. M., Sebastiao, P. J., & Correia, A. M. (2023). Performance Assessment of a RIS-Empowered Post-5G/6G Network Operating at the mmWave/THz Bands. IEEE Access, 11, 49625-49638. https://doi.org/10.1109/ACCESS.2023.3277388

Viel, F., Maciel, R. C., Seman, L. O., Zeferino, C. A., Bezerra, E. A., & Leithardt, V. R. Q. (2023). Hyperspectral Image Classification. IEEE Access, 11, 24835-24850. https://doi.org/10.1109/ACCESS.2023.3255164

Westarb, G., Stefenon, S. F., Hoppe, A. F., Sartori, A., Klaar, A. C. R., & Leithardt, V. R. Q. (2023). Complex graph neural networks for medication interaction verification. Journal of Intelligent and Fuzzy Systems, 44(6), 10383-10395. https://doi.org/10.3233/JIFS-223656

Yazidi, A., Silvestre, D., & Oommen, B. J. (2023). Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers. IEEE Transactions on Neural Networks and Learning Systems, 34(2), 650-661. https://doi.org/10.1109/TNNLS.2021.3099095

Žarić, M. L., Draganić, A., Orović, I., Beko, M., & Stanković, S. (2023). Combining Gradient-Based and Thresholding Methods for Improved Signal Reconstruction Performance. Journal of Signal Processing Systems, 95(5), 643-656. https://doi.org/10.1007/s11265-022-01780-5

Denysyuk, H. V., Pinto, R. J., Silva, P. M., Duarte, R. P., Marinho, F. A., Pimenta, L., Gouveia, A. J., Gonçalves, N. J., Coelho, P. J., Zdravevski, E., Lameski, P., Leithardt, V., Garcia, N. M., & Pires, I. M. (2023). Algorithms for automated diagnosis of cardiovascular diseases based on ECG data. Heliyon, 9(2). https://doi.org/10.1016/j.heliyon.2023.e13601

Sampaio, P. S., & Fernandes, P. (2023). Machine Learning. Catalysts, 13(6). https://doi.org/10.3390/catal13060961

Silva, R., Lima, A. C., Andrade, E., Martins, A. I., & Rocha, N. P. (2023). Heuristic Evaluation of the Usability of a Mechanical Ventilator Interface through a Simulator. Procedia Computer Science, 219, 1232-1239. https://doi.org/10.1016/j.procs.2023.01.406

Draganić, A., Orović, I., Stanković, S., Lekić, N., & Beko, M. (2023). Hardware architectures for some sparse signal recovery approaches. In Cognitive Sensing Technologies and Applications (pp. 27-72). Institution of Engineering and Technology.