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)

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)

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)

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)

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)