Experience with Testing of Mapping of Address and Port Using Translation (MAP-T). - Edwin Cordeiro; Rodrigo Matos Carnier; Antônio Marcos Moreiras (RFC, 2015)

Comparison Between IPv4 to IPv6 Transition Techniques. - Edwin Cordeiro; Rodrigo Matos Carnier; Wagner L. Zucchi (CoRR, 2016)

Energy-efficient optimal control of robotic leg by indirect methods. - Rodrigo Matos Carnier; Yasutaka Fujimoto (IECON, 2017)

Comparison of Energy Consumption of an Optimized Gait Cycle between Human-like and Bird-like Leg Models. - Rodrigo Matos Carnier; Yasutaka Fujimoto (IECON, 2018)

Optimization and Comparison of Human and Avian Robotic Walking. - Rodrigo Matos Carnier; Yasutaka Fujimoto (AIM, 2020)

Precise Optimization of Robotic Bipedal Walking Using Hamiltonian Dynamics. - Rodrigo Matos Carnier; Yasutaka Fujimoto (ISIE, 2020)

A hybrid approach for dynamically training a torque prediction model for devising a human-machine interface control strategy. - Sharmita Dey; Takashi Yoshida; Robert H. Foerster; Michael Ernst; Thomas Schmalz; Rodrigo Matos Carnier; Arndt F. Schilling (CoRR, 2021)

SIURU: A Framework for Machine Learning Based Anomaly Detection in IoT Network Traffic. - Laura Lahesoo; Uyen Do; Rodrigo Matos Carnier; Kensuke Fukuda (AINTEC, 2023)

Exact Markov Chain of Random Propagation of Malware With Network-Level Mitigation. - Rodrigo Matos Carnier; Yue Li; Yasutaka Fujimoto; Junji Shikata (IEEE Internet Things J., 2023)

Evaluation of XAI Algorithms in IoT Traffic Anomaly Detection. - Uyen Do; Laura Lahesoo; Rodrigo Matos Carnier; Kensuke Fukuda (ICAIIC, 2024)

GothX: a generator of customizable, legitimate and malicious IoT network traffic. - Manuel Poisson; Rodrigo Matos Carnier; Kensuke Fukuda (CSET @ USENIX Security Symposium, 2024)