| Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges J Dalzochio, R Kunst, E Pignaton, A Binotto, S Sanyal, J Favilla, ... Computers in Industry 123, 103298, 2020 | 540 | 2020 |
| An IoT-based smart cities infrastructure architecture applied to a waste management scenario P Marques, D Manfroi, E Deitos, J Cegoni, R Castilhos, J Rochol, ... Ad Hoc Networks 87, 200-208, 2019 | 163 | 2019 |
| Q-FANET: Improved Q-learning based routing protocol for FANETs LALF da Costa, R Kunst, EP de Freitas Computer Networks 198, 108379, 2021 | 98 | 2021 |
| Towards combining data prediction and internet of things to manage milk production on dairy cows R da Rosa Righi, G Goldschmidt, R Kunst, C Deon, CA da Costa Computers and Electronics in Agriculture 169, 105156, 2020 | 96 | 2020 |
| A predictive maintenance model for optimizing production schedule using deep neural networks T Zonta, CA Da Costa, FA Zeiser, G de Oliveira Ramos, R Kunst, ... Journal of Manufacturing Systems 62, 450-462, 2022 | 83 | 2022 |
| A review of flying ad hoc networks: Key characteristics, applications, and wireless technologies F Pasandideh, JPJ da Costa, R Kunst, N Islam, W Hardjawana, ... Remote Sensing 14 (18), 4459, 2022 | 57 | 2022 |
| RETRACTED ARTICLE: Stay-at-home policy is a case of exception fallacy: an internet-based ecological study RF Savaris, G Pumi, J Dalzochio, R Kunst Scientific reports 11 (1), 5313, 2021 | 57 | 2021 |
| Improving devices communication in Industry 4.0 wireless networks R Kunst, L Avila, A Binotto, E Pignaton, S Bampi, J Rochol Engineering Applications of Artificial Intelligence 83, 1-12, 2019 | 52 | 2019 |
| Improving reinforcement learning algorithms for dynamic spectrum allocation in cognitive sensor networks LR Faganello, R Kunst, CB Both, LZ Granville, J Rochol 2013 IEEE Wireless Communications and Networking Conference (WCNC), 35-40, 2013 | 38 | 2013 |
| Improving network resources allocation in smart cities video surveillance R Kunst, L Avila, E Pignaton, S Bampi, J Rochol Computer Networks 134, 228-244, 2018 | 31 | 2018 |
| Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification ME Mignoni, A Honorato, R Kunst, R Righi, A Massuquetti Data in Brief 40, 107756, 2022 | 20 | 2022 |
| Industrial intelligence in the care of workers’ mental health: A review of status and challenges C Goetz, R Bavaresco, R Kunst, J Barbosa International Journal of Industrial Ergonomics 87, 103234, 2022 | 20 | 2022 |
| A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives F Pasandideh, JPJ Costa, R Kunst, W Hardjawana, EP de Freitas Journal of Field Robotics 40 (4), 955-979, 2023 | 19 | 2023 |
| Predictive maintenance in the military domain: a systematic review of the literature J Dalzochio, R Kunst, JLV Barbosa, PCS Neto, E Pignaton, CS ten Caten, ... ACM computing surveys 55 (13s), 1-30, 2023 | 16 | 2023 |
| Data science methods and tools for industry 4.0: A systematic literature review and taxonomy HM Arruda, RS Bavaresco, R Kunst, EF Bugs, GC Pesenti, JLV Barbosa Sensors 23 (11), 5010, 2023 | 16 | 2023 |
| Application of future 6G technology to support heavy data traffic in highly mobile networks R Kunst, E Pignaton, T Zhou, H Hu 2020 First International Conference of Smart Systems and Emerging …, 2020 | 16 | 2020 |
| Combining natural language processing and blockchain for smart contract generation in the accounting and legal field E Monteiro, R Righi, R Kunst, C da Costa, D Singh International Conference on Intelligent Human Computer Interaction, 307-321, 2020 | 12 | 2020 |
| Intelligent resource sharing to enable quality of service for network clients: the trade-off between accuracy and complexity LALF Costa, R Kunst, EP de Freitas Computing 104 (5), 1219-1231, 2022 | 9 | 2022 |
| A resources sharing architecture for heterogeneous wireless cellular networks R Kunst, L Avila, E Pignaton, S Bampi, J Rochol 2016 IEEE 41st Conference on Local Computer Networks (LCN), 228-231, 2016 | 9 | 2016 |
| ELFpm: A machine learning framework for industrial machines prediction of remaining useful life J Dalzochio, R Kunst, JLV Barbosa, HD Vianna, G de Oliveira Ramos, ... Neurocomputing 512, 420-442, 2022 | 8 | 2022 |
Edison Pignaton de FreitasProfessor, Halmstad University, Assoc. Professor, Federal University of Rio Grande do SulPatvirtintas el. paštas ufrgs.br