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Rafael Kunst

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2020 – today

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2024
[j16]
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Vitor A. Fraga, Lincoln Vinicius Schreiber, Marco Antonio Chitolina Da Silva, Rafael Kunst, Jorge L. V. Barbosa, Gabriel de Oliveira Ramos:
A machine learning pipeline for extracting decision-support features from traffic scenes. AI Commun. 37(2): 189-201 (2024)
[c15]
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Guilherme Falcão da Silva Campos, Jovani Dalzochio, Raul Ceretta Nunes, Luís Alvaro de Lima Silva, Edison Pignaton de Freitas, Rafael Kunst:
Using Biometric Data to Authenticate Tactical Edge Network Users. AINA (4) 2024: 360-371
[c14]
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Luis Claudio Gubert, Felipe André Zeiser, Cristiano André da Costa, Rafael Kunst:
Classification and Prediction of Hypoglycemia in Patients with Type 2 Diabetes Mellitus Using Data from the EHR and Patient Context. IoTBDS 2024: 276-283
[c13]
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Eduardo G. Cortes, Ana Luiza Vianna, Mikaela Martins, Sandro Rigo, Rafael Kunst:
LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese. PROPOR 2024: 45-55
2023
[j15]
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Jovani Dalzochio, Rafael Kunst, Jorge Luis Victória Barbosa, Pedro Clarindo da Silva Neto, Edison Pignaton, Carla Schwengber ten Caten, Alex de Lima Teodoro da Penha:
Predictive Maintenance in the Military Domain: A Systematic Review of the Literature. ACM Comput. Surv. 55(13s): 267:1-267:30 (2023)
[j14]
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Faezeh Pasandideh, João P. J. da Costa, Rafael Kunst, Wibowo Hardjawana, Edison Pignaton de Freitas:
A systematic literature review of flying ad hoc networks: State-of-the-art, challenges, and perspectives. J. Field Robotics 40(4): 955-979 (2023)
[j13]
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  - journals/sensors/ArrudaBKBPB23
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Helder Moreira Arruda, Rodrigo Simon Bavaresco, Rafael Kunst, Elvis Fernandes Bugs, Giovani Cheuiche Pesenti, Jorge Luis Victória Barbosa:
Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy. Sensors 23(11): 5010 (2023)
[c12]
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Jovani Dalzochio, Rafael Kunst, Jorge L. V. Barbosa, Edison Pignaton de Freitas, Alécio P. D. Binotto:
MILPdM: A Predictive Maintenance Architecture for the Military Domain. ICMLA 2023: 2026-2032
[c11]
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  - conf/iswcs/CostaKLF23
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Luis Antonio Leite Francisco da Costa, Rafael Kunst, Rodrigo C. de Lamare, Edison Pignaton de Freitas:
Routing Performance Evaluation in Centralized and Distributed FANETs for 6G Networks. ISWCS 2023: 1-6
[c10]
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  - conf/sbsi/SilvaFKD23
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Robson Keemps Silva, Kleinner Farias, Rafael Kunst, Jovani Dalzochio:
An Approach Based on Machine Learning for Predicting Software Design Problems. SBSI 2023: 53-60
2022
[j12]
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  - journals/computing/CostaKF22
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Luis Antonio Leite Francisco da Costa, Rafael Kunst, Edison Pignaton de Freitas:
Intelligent resource sharing to enable quality of service for network clients: the trade-off between accuracy and complexity. Computing 104(5): 1219-1231 (2022)
[j11]
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Jovani Dalzochio, Rafael Kunst, Jorge Luis Victória Barbosa, Henrique Damasceno Vianna, Gabriel de Oliveira Ramos, Edison Pignaton, Alécio P. D. Binotto, Jose Favilla:
ELFpm: A machine learning framework for industrial machines prediction of remaining useful life. Neurocomputing 512: 420-442 (2022)
[j10]
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  - journals/remotesensing/PasandidehCKIHF22
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Faezeh Pasandideh, João Paulo C. L. da Costa, Rafael Kunst, Nahina Islam, Wibowo Hardjawana, Edison Pignaton de Freitas:
A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies. Remote. Sens. 14(18): 4459 (2022)
[c9]
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Vitor A. Fraga, Lincoln Schreiber, Rafael Kunst, Jorge L. V. Barbosa, Gabriel de Oliveira Ramos:
A Machine Learning Pipeline for Extracting Decision-Support Features from Traffic Scenes. ATT@IJCAI 2022: 194-208
2021
[j9]
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  - journals/cn/CostaKF21
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Luis Antonio Leite Francisco da Costa, Rafael Kunst, Edison Pignaton de Freitas:
Q-FANET: Improved Q-learning based routing protocol for FANETs. Comput. Networks 198: 108379 (2021)
2020
[j8]
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Rodrigo da Rosa Righi, Guilherme Goldschmidt, Rafael Kunst, Cássio Deon, Cristiano André da Costa:
Towards combining data prediction and internet of things to manage milk production on dairy cows. Comput. Electron. Agric. 169: 105156 (2020)
[j7]
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Jovani Dalzochio, Rafael Kunst, Edison Pignaton, Alécio Pedro Delazari Binotto, Srijnan Sanyal, Jose Favilla, Jorge L. V. Barbosa:
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges. Comput. Ind. 123: 103298 (2020)
[j6]
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Vinicius Facco Rodrigues, Euclides Palma Paim, Rafael Kunst, Rodolfo Stoffel Antunes, Cristiano André da Costa, Rodrigo da Rosa Righi:
Exploring publish/subscribe, multilevel cloud elasticity, and data compression in telemedicine. Comput. Methods Programs Biomed. 191: 105403 (2020)
[c8]
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  - conf/ihci/MonteiroRKCS20
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Emiliano Soares Monteiro, Rodrigo da Rosa Righi, Rafael Kunst, Cristiano André da Costa, Dhananjay Singh:
Combining Natural Language Processing and Blockchain for Smart Contract Generation in the Accounting and Legal Field. IHCI (1) 2020: 307-321

2010 – 2019

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2019
[j5]
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Patric Marques, Diogo Manfroi, Eduardo Deitos, Jonatan Cegoni, Rodrigo Castilhos, Juergen Rochol, Edison Pignaton, Rafael Kunst:
An IoT-based smart cities infrastructure architecture applied to a waste management scenario. Ad Hoc Networks 87: 200-208 (2019)
[j4]
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  - journals/eaai/KunstABPBR19
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Rafael Kunst, Leandro Avila, Alécio P. D. Binotto, Edison Pignaton, Sergio Bampi, Juergen Rochol:
Improving devices communication in Industry 4.0 wireless networks. Eng. Appl. Artif. Intell. 83: 1-12 (2019)
[c7]
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  - conf/cse/RighiSCKGKS19
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Rodrigo da Rosa Righi, Alexandre Lima Santana, Cristiano André da Costa, Rafael Kunst, Guilherme Goldschmidt, Dhananjay Singh, Madhusudan Singh:
Reducing Cost and Time-to-Market on Supporting Driver Assistance Systems to Avoid Rear-end Collisions in Vehicles Traffic. CSE/EUC 2019: 367-372
2018
[j3]
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Rafael Kunst, Leandro Avila, Edison Pignaton, Sergio Bampi, Juergen Rochol:
Improving network resources allocation in smart cities video surveillance. Comput. Networks 134: 228-244 (2018)
2017
[b1]
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  - phd/ndltd/Kunst17
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Rafael Kunst:
A QoS-aware resources sharing architecture for homogeneous and heterogeneous wireless networks. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2017
[c6]
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  - conf/icc/FernandezKR17
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Jean Cerrillo Fernandez, Rafael Kunst, Juergen Rochol:
A cognitive algorithm for traffic steering in LTE-LSA/Wi-Fi resource sharing scenarios. ICC 2017: 1-6
2016
[c5]
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  - conf/icecsys/AvilaKPRB16
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Leandro A. de Avila, Rafael Kunst, Edison Pignaton, Juergen Rochol, Sergio Bampi:
Energy efficiency evaluation of the pulse shapes and modulation techniques for IR-UWB in WBANs. ICECS 2016: 173-176
[c4]
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  - conf/lcn/KunstAPBR16
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Rafael Kunst, Leandro Avila, Edison Pignaton, Sergio Bampi, Juergen Rochol:
A Resources Sharing Architecture for Heterogeneous Wireless Cellular Networks. LCN 2016: 228-231
[c3]
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Rafael Kunst, Leandro Avila, Edison Pignaton, Sergio Bampi, Juergen Rochol:
Improving QoS in multi-operator cellular networks. WiMob 2016: 1-8
2013
[c2]
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  - conf/wcnc/FaganelloKBGR13
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Leonardo Roveda Faganello, Rafael Kunst, Cristiano Bonato Both, Lisandro Zambenedetti Granville, Juergen Rochol:
Improving reinforcement learning algorithms for dynamic spectrum allocation in cognitive sensor networks. WCNC 2013: 35-40
2012
[j2]
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  - journals/jnca/BothMKGR12
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Cristiano Bonato Both, Clarissa Cassales Marquezan, Rafael Kunst, Lisandro Zambenedetti Granville, Juergen Rochol:
A self-adapting connection admission control solution for mobile WiMAX: Enabling dynamic switching of admission control algorithms based on predominant network usage profiles. J. Netw. Comput. Appl. 35(5): 1392-1401 (2012)
2011
[j1]
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  - journals/cn/KunstBGR11
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Rafael Kunst, Cristiano Bonato Both, Lisandro Zambenedetti Granville, Juergen Rochol:
On the impact of hybrid errors on mobile WiMAX networks. Comput. Networks 55(16): 3659-3671 (2011)

2000 – 2009

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2008
[c1]
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Cristiano Bonato Both, Eliane Gobetti de Camargo, Rafael Kunst:
Analysis of WiMAX bandwidth allocation mechanism considering physical conditions. ISWCS 2008: 643-647

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