Analysis of WiMAX bandwidth allocation mechanism considering physical conditions. - Cristiano Bonato Both; Eliane Gobetti de Camargo; Rafael Kunst (ISWCS, 2008)

On the impact of hybrid errors on mobile WiMAX networks. - Rafael Kunst; Cristiano Bonato Both; Lisandro Zambenedetti Granville; Juergen Rochol (Comput. Networks, 2011)

A self-adapting connection admission control solution for mobile WiMAX: Enabling dynamic switching of admission control algorithms based on predominant network usage profiles. - Cristiano Bonato Both; Clarissa Cassales Marquezan; Rafael Kunst; Lisandro Zambenedetti Granville; Juergen Rochol (J. Netw. Comput. Appl., 2012)

Improving reinforcement learning algorithms for dynamic spectrum allocation in cognitive sensor networks. - Leonardo Roveda Faganello; Rafael Kunst; Cristiano Bonato Both; Lisandro Zambenedetti Granville; Juergen Rochol (WCNC, 2013)

Energy efficiency evaluation of the pulse shapes and modulation techniques for IR-UWB in WBANs. - Leandro A. de Avila; Rafael Kunst; Edison Pignaton; Juergen Rochol; Sergio Bampi (ICECS, 2016)

A Resources Sharing Architecture for Heterogeneous Wireless Cellular Networks. - Rafael Kunst; Leandro Avila; Edison Pignaton; Sergio Bampi; Juergen Rochol (LCN, 2016)

Improving QoS in multi-operator cellular networks. - Rafael Kunst; Leandro Avila; Edison Pignaton; Sergio Bampi; Juergen Rochol (WiMob, 2016)

A cognitive algorithm for traffic steering in LTE-LSA/Wi-Fi resource sharing scenarios. - Jean Cerrillo Fernandez; Rafael Kunst; Juergen Rochol (ICC, 2017)

A QoS-aware resources sharing architecture for homogeneous and heterogeneous wireless networks. - Rafael Kunst (2017)

Improving network resources allocation in smart cities video surveillance. - Rafael Kunst; Leandro Avila; Edison Pignaton; Sergio Bampi; Juergen Rochol (Comput. Networks, 2018)

Reducing Cost and Time-to-Market on Supporting Driver Assistance Systems to Avoid Rear-end Collisions in Vehicles Traffic. - Rodrigo da Rosa Righi; Alexandre Lima Santana; Cristiano André da Costa; Rafael Kunst; Guilherme Goldschmidt; Dhananjay Singh 001; Madhusudan Singh 001 (CSE/EUC, 2019)

An IoT-based smart cities infrastructure architecture applied to a waste management scenario. - Patric Marques; Diogo Manfroi; Eduardo Deitos; Jonatan Cegoni; Rodrigo Castilhos; Juergen Rochol; Edison Pignaton; Rafael Kunst (Ad Hoc Networks, 2019)

Improving devices communication in Industry 4.0 wireless networks. - Rafael Kunst; Leandro Avila; Alécio P. D. Binotto; Edison Pignaton; Sergio Bampi; Juergen Rochol (Eng. Appl. Artif. Intell., 2019)

Combining Natural Language Processing and Blockchain for Smart Contract Generation in the Accounting and Legal Field. - Emiliano Soares Monteiro; Rodrigo da Rosa Righi; Rafael Kunst; Cristiano André da Costa; Dhananjay Singh 001 (IHCI (1), 2020)

Towards combining data prediction and internet of things to manage milk production on dairy cows. - Rodrigo da Rosa Righi; Guilherme Goldschmidt; Rafael Kunst; Cássio Deon; Cristiano André da Costa (Comput. Electron. Agric., 2020)

Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges. - Jovani Dalzochio; Rafael Kunst; Edison Pignaton; Alécio Pedro Delazari Binotto; Srijnan Sanyal; Jose Favilla; Jorge L. V. Barbosa (Comput. Ind., 2020)

Exploring publish/subscribe, multilevel cloud elasticity, and data compression in telemedicine. - Vinicius Facco Rodrigues; Euclides Palma Paim; Rafael Kunst; Rodolfo Stoffel Antunes; Cristiano André da Costa; Rodrigo da Rosa Righi (Comput. Methods Programs Biomed., 2020)

Q-FANET: Improved Q-learning based routing protocol for FANETs. - Luis Antonio Leite Francisco da Costa; Rafael Kunst; Edison Pignaton de Freitas (Comput. Networks, 2021)

A Machine Learning Pipeline for Extracting Decision-Support Features from Traffic Scenes. - Vitor A. Fraga; Lincoln Schreiber; Rafael Kunst; Jorge L. V. Barbosa; Gabriel de Oliveira Ramos (ATT@IJCAI, 2022)

Intelligent resource sharing to enable quality of service for network clients: the trade-off between accuracy and complexity. - Luis Antonio Leite Francisco da Costa; Rafael Kunst; Edison Pignaton de Freitas (Computing, 2022)

ELFpm: A machine learning framework for industrial machines prediction of remaining useful life. - Jovani Dalzochio; Rafael Kunst; Jorge Luis Victória Barbosa; Henrique Damasceno Vianna; Gabriel de Oliveira Ramos; Edison Pignaton; Alécio P. D. Binotto; Jose Favilla (Neurocomputing, 2022)

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies. - Faezeh Pasandideh; João Paulo C. L. da Costa; Rafael Kunst; Nahina Islam; Wibowo Hardjawana; Edison Pignaton de Freitas (Remote. Sens., 2022)

MILPdM: A Predictive Maintenance Architecture for the Military Domain. - Jovani Dalzochio; Rafael Kunst; Jorge L. V. Barbosa; Edison Pignaton de Freitas; Alécio P. D. Binotto (ICMLA, 2023)

Routing Performance Evaluation in Centralized and Distributed FANETs for 6G Networks. - Luis Antonio Leite Francisco da Costa; Rafael Kunst; Rodrigo C. de Lamare; Edison Pignaton de Freitas (ISWCS, 2023)

An Approach Based on Machine Learning for Predicting Software Design Problems. - Robson Keemps Silva; Kleinner Farias; Rafael Kunst; Jovani Dalzochio (SBSI, 2023)

Predictive Maintenance in the Military Domain: A Systematic Review of the Literature. - 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 (ACM Comput. Surv., 2023)

Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy. - Helder Moreira Arruda; Rodrigo Simon Bavaresco; Rafael Kunst; Elvis Fernandes Bugs; Giovani Cheuiche Pesenti; Jorge Luis Victória Barbosa (Sensors, 2023)

A systematic literature review of flying ad hoc networks: State-of-the-art, challenges, and perspectives. - Faezeh Pasandideh; João P. J. da Costa; Rafael Kunst; Wibowo Hardjawana; Edison Pignaton de Freitas (J. Field Robotics, 2023)

Using Biometric Data to Authenticate Tactical Edge Network Users. - Guilherme Falcão da Silva Campos; Jovani Dalzochio; Raul Ceretta Nunes; Luís Alvaro de Lima Silva; Edison Pignaton de Freitas; Rafael Kunst (AINA (4), 2024)

Classification and Prediction of Hypoglycemia in Patients with Type 2 Diabetes Mellitus Using Data from the EHR and Patient Context. - Luis Claudio Gubert; Felipe André Zeiser; Cristiano André da Costa; Rafael Kunst (IoTBDS, 2024)

LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese. - Eduardo G. Cortes; Ana Luiza Vianna; Mikaela Martins; Sandro Rigo; Rafael Kunst (PROPOR (1), 2024)

A machine learning pipeline for extracting decision-support features from traffic scenes. - Vitor A. Fraga; Lincoln Vinicius Schreiber; Marco Antonio Chitolina Da Silva; Rafael Kunst; Jorge L. V. Barbosa; Gabriel de Oliveira Ramos (AI Commun., 2024)

On proposing an intelligent model for tracking agrochemicals. - Emiliano Soares Monteiro; Maria Eloisa Mignoni; Rodrigo da Rosa Righi; Cristiano André da Costa; Rafael Kunst; Jorge Luis Victória Barbosa; Antônio Marcos Alberti (Internet Technol. Lett., 2024)

Machine Learning-Based Optimization of Cluster Formations in 6G Networks. - Luis Antonio Leite Francisco da Costa; Rafael Kunst; Rodrigo C. de Lamare; Edison Pignaton de Freitas (ICNC, 2025)

SmellDSL: A domain-specific language to assist developers in specifying code smell patterns. - Robson Keemps Silva; Kleinner Farias; Rafael Kunst; Carlos Eduardo Carbonera; Willian Bolzan (Inf. Softw. Technol., 2025)

OntoKaire: an ontology-based reasoning for work-related stressors in industrial settings. - Carlos Goetz; Rodrigo Simon Bavaresco; Wesllei Felipe Heckler; Gustavo Lazarotto Schroeder; Rafael Kunst; Jorge Luis Victória Barbosa (J. Univers. Comput. Sci., 2025)