2022

Abstract

Brites, I. S., Silva, L. M., Barbosa, J. L., Rigo, S. J., Correia, S. D., & Leithardt, V. R. (2022). Machine Learning and IoT Applied to Cardiovascular Diseases Identification Through Heart Sounds. In Information Technology and Systems - Proceedings of ICITS 2022 (pp. 356-388). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-96293-7_32

Correia, S. D., Fé, J., Tomic, S., & Beko, M. (2022). Drones as Sound Sensors for Energy-Based Acoustic Tracking on Wildfire Environments. In Internet of Things. Technology and Applications - 4th IFIP International Cross-Domain Conference, IFIPIoT 2021, Revised Selected Papers (pp. 109-125). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-96466-5_8

Correia, S. D., Perez, R., Matos-carvalho, J., & Leithardt, V. R. (2022). μJSON, a Lightweight Compression Scheme for Embedded GNSS Data Transmission on IoT Nodes. In 5th Conference on Cloud and Internet of Things, CIoT 2022 (pp. 232-238). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIoT53061.2022.9766635

Devaja, T., Petkovic, M., Munari, A., Clazzer, F., Beko, M., & Vukobratovic, D. (2022). Massive Machine-Type Communications via Hybrid OWC/RF Networks. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 (pp. 93-97). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSNDSP54353.2022.9907922

Dos Santos, R. P., Beko, M., & Leithardt, V. R. (2022). Análise dos protocolos de comunicação MQTT-SN e LWM2M para dispositivos IoT de agricultura de precisão. In Proceedings of 2022 17th Iberian Conference on Information Systems and Technologies, CISTI 2022 . IEEE Computer Society. https://doi.org/10.23919/CISTI54924.2022.9820048

Fachada, N. (2022). A computational pipeline for modeling and predicting wildfire behavior. In COMPLEXIS 2022 - Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk (pp. 79-84). Science and Technology Publications, Lda. https://doi.org/10.5220/0011073900003197

Fachada, N., Serra, P., Códices, N., Luz, F., Andrade, D. N. D. M. G. D., Lopes, L. P. S. C. B., Fonseca, M. M., & Neves, P. P. (2022). Improving the CS Curriculum of a Top-Down Videogames BA. In Proceedings CSERC 2022 - 11th Computer Science Education Research Conference (pp. 62-63). Association for Computing Machinery. https://doi.org/10.1145/3569173.3569183

Ferreira, F. J., Alberto, J. M., & De Almeida, A. T. (2022). Induction Motor Tolerance to Supply Voltage Unbalance for Different Dual-Winding Configurations. In 2022 International Conference on Electrical Machines, ICEM 2022 (pp. 1981-1987). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEM51905.2022.9910896

Gomes, M., Pereira, R., Silva, M., De Vasconcelos, J. B., & Rocha, �. (2022). KPI’s for Evaluation of DevOps Teams. In Information Systems and Technologies - WorldCIST 2022 (pp. 142-156). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-04829-6_13

Magaia, N., Ferreira, P., & Rogerio Pereira, P. (2022). An edge-based smart network monitoring system for the Internet of Vehicles. In ICC 2022 - IEEE International Conference on Communications (pp. 2218-2223). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45855.2022.9838388

Mestre, G., Matos-carvalho, J. P., & Tavares, R. M. (2022). Irrigation Management System using Artificial Intelligence Algorithms. In Proceedings - 2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022 (pp. 69-74). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/YEF-ECE55092.2022.9849888

Pedro, D., Rato, R. T., Matos-carvalho, J. P., Fonseca, J. M., & Mora, A. (2022). Flow Empirical Mode Decomposition. In Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference, IntelliSys (pp. 234-250). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-82199-9_14

Pinto, D., Costa, C., Pereira, S., & Jardim, C. (2022). Children, young people and participation in and through the media. In Conference of the International Association for Media and Communication Research - IAMCR . .

Santos, R., Matos-carvalho, J. P., Tomic, S., Beko, M., & Correia, S. D. (2022). Applying Deep Neural Networks to Improve UAV Navigation in Satellite-less Environments. In Proceedings - 2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022 (pp. 63-68). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/YEF-ECE55092.2022.9850152

Sega, C. L., De Rossetto, A. G., Correia, S. D., & Leithardt, V. R. (2022). Uma proposta de arquitetura para proteger a privacidade dos dados de saúde armazenados na Blockchain. In Proceedings of 2022 17th Iberian Conference on Information Systems and Technologies, CISTI 2022 . IEEE Computer Society. https://doi.org/10.23919/CISTI54924.2022.9820597

Silvestre, D. (2022). Accurate Guaranteed State Estimation for Uncertain LPVs using Constrained Convex Generators. In 2022 IEEE 61st Conference on Decision and Control, CDC 2022 (pp. 4957-4962). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC51059.2022.9993211

Simonazzi, M., Sandrolini, L., Campanini, A., Alberto, J., & Mariscotti, A. (2022). Center-Fed Resonator Array for Increased Misalignment Tolerance in Automotive Wireless Power Transfer. In MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings (pp. 775-779). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MELECON53508.2022.9842937

Stankovic, M. S., Beko, M., & Stankovic, S. S. (2022). Convergent Distributed Actor-Critic Algorithm Based on Gradient Temporal Difference. In 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings (pp. 2066-2070). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/eusipco55093.2022.9909762

Stankovic, M. S., Beko, M., & Stankovic, S. S. (2022). Distributed Actor-Critic Learning Using Emphatic Weightings. In 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022 (pp. 1167-1172). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT55151.2022.9804022

Stankovic, M. S., Beko, M., Ilic, N., & Stankovic, S. S. (2022). Multi-Agent Actor-Critic Multitask Reinforcement Learning based on GTD(1) with Consensus. In 2022 IEEE 61st Conference on Decision and Control, CDC 2022 (pp. 4591-4596). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC51059.2022.9992951

Tennakoon, P., Rajkumar, S., Jayakody, D. N. K., & Beko, M. (2022). CoMP Based Delta-OMA Scheme for Visible Light Communications. In 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2022-Fall57202.2022.10013048

Vieira, M., Matos-carvalho, J. P., Correia, S. D., & Tavares, R. M. (2022). IoT Based Targeting System - Airsoft Use-Case. In Proceedings - 2022 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2022 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/YEF-ECE55092.2022.9850155

Vong, A., Matos-carvalho, J. P., Pedro, D., Tomic, S., Beko, M., Azevedo, F., Correia, S. D., & Mora, A. (2022). Open-Source Mapping Method Applied to Thermal Imagery. In Intelligent Computing - Proceedings of the 2022 Computing Conference (pp. 43-57). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-10461-9_3

Ali, M. F., Jayakody, D. N. K., Garg, S., Kaddoum, G., & Hossain, M. S. (2022). Dual-Hop Mixed FSO-VLC Underwater Wireless Communication Link. IEEE Transactions on Network and Service Management, 19(3), 3105-3120. https://doi.org/10.1109/TNSM.2022.3181169

Basnayake, V., Mabed, H., Jayakody, D. N. K., Canalda, P., & Beko, M. (2022). Adaptive Emergency Call Service for Disaster Management. Journal of Sensor and Actuator Networks, 11(4). https://doi.org/10.3390/jsan11040083

Branco, N. W., Cavalca, M. S. M., Stefenon, S. F., & Leithardt, V. R. Q. (2022). Wavelet LSTM for Fault Forecasting in Electrical Power Grids. Sensors (Basel, Switzerland), 22(21). https://doi.org/10.3390/s22218323

Cipriano, B. P., Fachada, N., & Alves, P. (2022). Drop Project. SoftwareX 18 (2022) 101079, 18. https://doi.org/10.1016/j.softx.2022.101079

De Freitas, M. P., Piai, V. A., Farias, R. H., Fernandes, A. M., De Moraes Rossetto, A. G., & Leithardt, V. R. Q. (2022). Artificial Intelligence of Things Applied to Assistive Technology. Sensors (Basel, Switzerland), 22(21). https://doi.org/10.3390/s22218531

De Lima, R. R., Fernandes, A. M., Bombasar, J. R., Da Silva, B. A., Crocker, P., & Leithardt, V. R. Q. (2022). An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade. Big Data and Cognitive Computing, 6(1). https://doi.org/10.3390/bdcc6010008

De Moraes Rossetto, A. G., Sega, C., & Leithardt, V. R. Q. (2022). An Architecture for Managing Data Privacy in Healthcare with Blockchain. Sensors (Basel, Switzerland), 22(21). https://doi.org/10.3390/s22218292

De Moura Costa, H. J., Da Costa, C. A., Da Rosa Righi, R., Antunes, R. S., De Paz Santana, J. F., & Leithardt, V. R. Q. (2022). A Fog and Blockchain Software Architecture for a Global Scale Vaccination Strategy. IEEE Access, 10, 44290-44304. https://doi.org/10.1109/ACCESS.2022.3169418

Duarte, C. T., Leithardt, V. R. Q., Crocker, P., Barbosa, J. L. V., Iglesia, D. H. D. L., & Silva, L. A. (2022). Uma Proposta de Solução Abordando o Contexto de Notícias Falsas em Países de Língua Portuguesa. Revista Ibérica de Sistemas e Tecnologias de Informação, 2022(E47), 199-211.

Fachada, V., Rahkila, P., Fachada, N., Turpeinen, T., Kujala, U. M., & Kainulainen, H. (2022). Enlarged PLIN5-uncoated lipid droplets in inner regions of skeletal muscle type II fibers associate with type 2 diabetes. Acta Histochemica, 124(3). https://doi.org/10.1016/j.acthis.2022.151869

Fernandes, F., Stefenon, S. F., Seman, L. O., Nied, A., Ferreira, F. C. S., Subtil, M. C. M., Klaar, A. C. R., & Leithardt, V. R. Q. (2022). Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19. Journal of Intelligent and Fuzzy Systems, 42(6), 6221-6234. https://doi.org/10.3233/JIFS-212788

Hu, Q., Gois, F. N. B., Costa, R., Zhang, L., Yin, L., Magaia, N., & De Albuquerque, V. H. C. (2022). Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification. Applied Soft Computing, 123. https://doi.org/10.1016/j.asoc.2022.108966

Kim, I., Matos-carvalho, J. P., Viksnin, I., Simas, T., & Correia, S. D. (2022). Particle Swarm Optimization Embedded in UAV as a Method of Territory-Monitoring Efficiency Improvement. Symmetry, 14(6). https://doi.org/10.3390/sym14061080

Kumar, A., Al-kuwari, S., Jayakody, D. N. K., & Alkanhel, R. (2022). Security Performance Analysis of a NOMA-Assisted Underwater VLC System Under Imprecise Channel Estimations. IEEE Access, 10, 117021-117032. https://doi.org/10.1109/ACCESS.2022.3218049

Leite, M., Parreira, W. D., Fernandes, A. M. D. R., & Leithardt, V. R. Q. (2022). Image Segmentation for Human Skin Detection. Applied Sciences (Switzerland), 12(23). https://doi.org/10.3390/app122312140

Lima, B. K. S., De Sena, A. S., Dinis, R., Da Costa, D. B., Beko, M., Oliveira, R., & Debbah, M. (2022). Aerial Intelligent Reflecting Surfaces in MIMO-NOMA Networks. IEEE Open Journal of the Communications Society, 3, 1007-1024. https://doi.org/10.1109/OJCOMS.2022.3182223

Lima, B. K. S., Dinis, R., Da Costa, D. B., Oliveira, R., & Beko, M. (2022). User Pairing and Power Allocation for UAV-NOMA Systems Based on Multi-Armed Bandit Framework. IEEE Transactions on Vehicular Technology, 71(12), 13017-13029. https://doi.org/10.1109/TVT.2022.3199606

Lima, B., Fachada, N., Dinis, R., Costa, D. B., & Beko, M. (2022). Uavnoma. Journal of Open Research Software, 10(1). https://doi.org/10.5334/JORS.397

Lima, R., Filippetto, A. S., Heckler, W., Barbosa, J. L., & Leithardt, V. R. (2022). Towards ubiquitous requirements engineering through recommendations based on context histories. PeerJ Computer Science, 8. https://doi.org/10.7717/PEERJ-CS.794

Magaia, N., Ferreira, P., Pereira, P. R., Muhammad, K., Ser, J. D., & De Albuquerque, V. H. C. (2022). Group'n Route. IEEE Transactions on Intelligent Transportation Systems, 23(10), 19589-19601. https://doi.org/10.1109/TITS.2022.3171978

Matteussi, K. J., Dos Anjos, J. C., Leithardt, V. R., & Geyer, C. F. (2022). Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines. Sensors (Basel, Switzerland), 22(13). https://doi.org/10.3390/s22134756

Merz, M., Pedro, D., Skliros, V., Bergenhem, C., Himanka, M., Houge, T., Matos-carvalho, J. P., Lundkvist, H., Cürüklü, B., Hamrén, R., Ameri, A. E., Ahlberg, C., & Johansen, G. (2022). Autonomous UAS-Based Agriculture Applications. Drones, 6(5). https://doi.org/10.3390/drones6050128

Miković, A., Oliveira, M. �., & Vojinović, M. (2022). Hamiltonian analysis of the BFCG theory for a strict Lie 2-group. Advances in Theoretical and Mathematical Physics, 26(10), 3783-3800. https://doi.org/10.4310/ATMP.2022.v26.n10.a10

Moron, V. B., Barbosa, D. N. F., Sanfelice, G. R., Barbosa, J. L. V., Leithardt, D. R., & Leithardt, V. R. Q. (2022). Executive Functions, Motor Development, and Digital Games Applied to Elementary School Children. Education Sciences, 12(3). https://doi.org/10.3390/educsci12030164

Oliveira, A. V. D., Dazzi, M. C. S., Fernandes, A. M. D. R., Dazzi, R. L. S., Ferreira, P., & Leithardt, V. R. Q. (2022). Decision Support Using Machine Learning Indication for Financial Investment. Future Internet, 14(11). https://doi.org/10.3390/fi14110304

Orović, I., Stanković, S., & Beko, M. (2022). On the Use of Gini Coefficient for Measuring Time-Frequency Distribution Concentration and Parameters Selection. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/7731309

Ramos, G., Silvestre, D., & Aguiar, A. P. (2022). A resilient continuous-time consensus method using a switching topology. Systems and Control Letters, 169. https://doi.org/10.1016/j.sysconle.2022.105381

Salazar, L. H. A., Leithardt, V. R., Parreira, W. D., Da Rocha Fernandes, A. M., Barbosa, J. L. V., & Correia, S. D. (2022). Application of machine learning techniques to predict a patient’s no-show in the healthcare sector. Future Internet, 14(1). https://doi.org/10.3390/fi14010003

Salazar, L. H. A., Parreira, W. D., Fernandes, A. M. D. R., & Leithardt, V. R. Q. (2022). No-Show in Medical Appointments with Machine Learning Techniques. Information (Switzerland), 13(11). https://doi.org/10.3390/info13110507

Santos, R., Matos-carvalho, J. P., Tomic, S., & Beko, M. (2022). WLS algorithm for UAV navigation in satellite-less environments. IET Wireless Sensor Systems, 12(3-4), 93-102. https://doi.org/10.1049/wss2.12041

Santos, V. A. D., Parreira, W. D., Fernandes, A. M. D. R., Garcia Ovejero, R., & Leithardt, V. R. Q. (2022). Improving Speaker Recognition in Environmental Noise With Adaptive Filter. IEEE Access, 10, 124523-124533. https://doi.org/10.1109/ACCESS.2022.3225405

Silva, R. C. E., Fachada, N., Andrade, D. D., & Códices, N. (2022). Procedural generation of 3D maps with snappable meshes. IEEE Access, 10, 43093-43111. https://doi.org/10.1109/ACCESS.2022.3168832

Silvestre, D. (2022). Set-valued estimators for Uncertain Linear Parameter-Varying systems. Systems and Control Letters, 166. https://doi.org/10.1016/j.sysconle.2022.105311

Silvestre, D., Hespanha, J., & Silvestre, C. (2022). Fast Desynchronization Algorithms for Decentralized Medium Access Control Based on Iterative Linear Equation Solvers. IEEE Transactions on Automatic Control, 67(11), 6219-6226. https://doi.org/10.1109/TAC.2021.3130888

Sousa Sampaio, P. N., & Calado, C. R. (2022). Antimicrobial evaluation of the Cynara cardunculus extract in Helicobacter pylori cells using mid-infrared spectroscopy and chemometric methods. Journal of Applied Microbiology, 133(3), 1743-1756. https://doi.org/10.1111/jam.15679

Stefenon, S. F., Bruns, R., Sartori, A., Meyer, L. H., Ovejero, R. G., & Leithardt, V. R. Q. (2022). Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods. IEEE Access, 10, 33980-33991. https://doi.org/10.1109/ACCESS.2022.3161506

Stefenon, S. F., Corso, M. P., Nied, A., Perez, F. L., Yow, K. C., Gonzalez, G. V., & Leithardt, V. R. Q. (2022). Classification of insulators using neural network based on computer vision. IET Generation, Transmission and Distribution, 16(6), 1096-1107. https://doi.org/10.1049/gtd2.12353

Stefenon, S. F., Seman, L. O., Pavan, B. A., Ovejero, R. G., & Leithardt, V. R. Q. (2022). Optimal design of electrical power distribution grid spacers using finite element method. IET Generation, Transmission and Distribution, 16(9), 1865-1876. https://doi.org/10.1049/gtd2.12425

Sulemane, S., Matos-carvalho, J. P., Pedro, D., Moutinho, F., & Correia, S. D. (2022). Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images. Algorithms, 15(12). https://doi.org/10.3390/a15120440

Tomic, S., & Beko, M. (2022). Detecting Distance-Spoofing Attacks in Arbitrarily-Deployed Wireless Networks. IEEE Transactions on Vehicular Technology, 71(4), 4383-4395. https://doi.org/10.1109/TVT.2022.3148199

Vieira, J. C., Sartori, A., Stefenon, S. F., Perez, F. L., De Jesus, G. S., & Leithardt, V. R. Q. (2022). Low-Cost CNN for Automatic Violence Recognition on Embedded System. IEEE Access, 10, 25190-25202. https://doi.org/10.1109/ACCESS.2022.3155123

Costa, C. (2022). ECGBL Preface. Proceedings of the European Conference on Games-based Learning, 2022-October, IX.

Fé, J., Correia, S. D., Tomic, S., & Beko, M. (2022). Swarm Optimization for Energy-Based Acoustic Source Localization. Sensors (Basel, Switzerland), 22(5). https://doi.org/10.3390/s22051894

Sopelsa Neto, N. F., Stefenon, S. F., Meyer, L. H., Ovejero, R. G., & Leithardt, V. R. Q. (2022). Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models. Sensors (Basel, Switzerland), 22(16). https://doi.org/10.3390/s22166121