Public ICT Governance: A Quasi-systematic Review. - Marianne Batista Diniz Da Silva; Eduardo Coelho Silva; Fernando Alves De Carvalho Filho; Thauane Moura Garcia; Isabel Dillmann Nunes; Rogério Patrício Chagas do Nascimento (ICEIS (2), 2017)

Iniciativas Nacionais de Governança de TIC que sugerem Modelos, Técnicas e Boas Práticas para a Administração Pública Federal: um Mapeamento Sistemático. - Marianne Batista Diniz Da Silva; Rogério Patrício Chagas do Nascimento; Isabel Dillmann Nunes; Maria Augusta Silveira Netto Nunes (Braz. J. Inf. Syst., 2017)

A Practical Approach to Teaching-Learning for Undergraduate Students: Governance of ICT directed to the Federal Public Administration (FPA). - Marianne Batista Diniz Da Silva; Danilo Siqueira Ramos; Denise Xavier dos Santos; Michel S. Soares; Isabel Dillmann Nunes; Rogério P. C. do Nascimento (EATIS, 2018)

PeticGov: An auditing and direction framework for federal public organizations. - Marianne Batista Diniz Da Silva; Danilo Siqueira Ramos; Alef Menezes dos Santos; Denise Xavier dos Santos; Michel S. Soares; Isabel Dillmann Nunes; Rogério P. C. do Nascimento (EATIS, 2018)

A customer feedback platform for vehicle manufacturing in Industry 4.0. - Marianne Batista Diniz Da Silva; Elton Vieira; Ivanovitch M. D. Da Silva; Diego Rodrigo Cabral Silva; Paolo Ferrari; Stefano Rinaldi; Dhiego Fernandes Carvalho (ISCC, 2018)

A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision. - Marianne Batista Diniz Da Silva; Elton Vieira; Gabriel Signoretti; Ivanovitch M. D. Da Silva; Diego R. C. Silva; Paolo Ferrari (Sensors, 2018)

A Dependability Evaluation for OBD-II Edge Devices: An Internet of Intelligent Vehicles Perspective. - Gabriel Signoretti; Marianne Batista Diniz Da Silva; Jordy Araujo; Ivanovitch Silva; Diego R. C. Silva; Paolo Ferrari; Emiliano Sisinni (LADC, 2019)

Performance Evaluation of an Edge OBD-II Device for Industry 4.0. - Gabriel Signoretti; Marianne Batista Diniz Da Silva; Alexandre Dias; Ivanovitch Silva; Diego R. C. Silva; Paolo Ferrari (MetroInd4.0&IoT, 2019)

A Crowdsensing Platform for Monitoring of Vehicular Emissions: A Smart City Perspective. - Marianne Batista Diniz Da Silva; Gabriel Signoretti; Julio Oliveira; Ivanovitch Silva; Daniel G. Costa (Future Internet, 2019)

Perception of federal public administration ICT managers on good ICT governance practices. - Lizianne Maria G. M. Sales; Danillo Siqueira Ramos; Rogério Patrício Chagas do Nascimento; Marianne Batista Diniz Da Silva; Alef Menezes dos Santos (EATIS, 2020)

Performance Evaluation of an evolving data compression algorithm embedded into an OBD-II edge device. - Gabriel Signoretti; Marianne Batista Diniz Da Silva; Jordy Araujo; Luiz Affonso Guedes; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari (MetroInd4.0&IoT, 2020)

A Metrological Fuel Surveillance Application Based on Internet of Intelligent Vehicles. - Pedro Andrade; Ivanovitch Silva; Gabriel Signoretti; Marianne Batista Diniz Da Silva; João Dias 006; Lucas Marques; Wilson S. Melo; Carlos E. C. Galhardo (MetroAutomotive, 2021)

Towards a customized vehicular maintenance based on 2-layers data-stream application. - Marianne Batista Diniz Da Silva; Gabriel Signoretti; Pedro Andrade; Ivanovitch Silva; Paolo Ferrari (MetroAutomotive, 2021)

An Unsupervised TinyML Approach Applied for Pavement Anomalies Detection Under the Internet of Intelligent Vehicles. - Pedro Andrade; Ivanovitch Silva; Gabriel Signoretti; Marianne Batista Diniz Da Silva; João Dias 006; Lucas Marques; Daniel G. Costa (MetroInd4.0&IoT, 2021)

An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity. - Gabriel Signoretti; Marianne Batista Diniz Da Silva; Pedro Andrade; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari (Sensors, 2021)

An Online Unsupervised Machine Learning Approach to Detect Driving Related Events. - Marianne Silva; Thommas K. S. Flores; Pedro Andrade; Jordão Silva; Ivanovitch Silva; Daniel G. Costa (IECON, 2022)

A TinyML Soft-Sensor for the Internet of Intelligent Vehicles. - Thommas K. S. Flores; Marianne Silva; Pedro Andrade; Jordão Silva; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari; Stefano Rinaldi (MetroAutomotive, 2022)

A data-stream TinyML compression algorithm for vehicular applications: a case study. - Marianne Silva; Gabriel Signoretti; Thommas K. S. Flores; Pedro Andrade; Jordão Silva; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari (MetroInd4.0& IoT, 2022)

A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions. - Pedro Andrade; Ivanovitch Silva; Marianne Batista Diniz Da Silva; Thommas K. S. Flores; Jordão Cassiano; Daniel G. Costa (Sensors, 2022)

TinyML for Safe Driving: The Use of Embedded Machine Learning for Detecting Driver Distraction. - Thommas K. S. Flores; Marianne Silva; Mariana Azevedo; Thaís Medeiros; Morsinaldo Medeiros; Ivanovitch Silva; Max Mauro Dias Santos; Daniel G. Costa (MetroAutomotive, 2023)

An Adaptive TinyML Unsupervised Online Learning Algorithm for Driver Behavior Analysis. - Marianne Silva; Thaís Medeiros; Mariana Azevedo; Morsinaldo Medeiros; Mikael Themoteo; Tatiane Gois; Ivanovitch Silva; Daniel G. Costa (MetroAutomotive, 2023)

TinyML Custom AI Algorithms for Low-Power IoT Data Compression: A Bridge Monitoring Case Study. - Thaís Medeiros; Miguel Amaral; Matheus Targino; Marianne Silva; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari (MetroInd4.0&IoT, 2023)

A Voice-Assisted Approach for Vehicular Data Querying from Automotive IoT-Based Databases. - Matheus Andrade; Esther Wanderley; Mariana Azevedo; Thaís Medeiros; Marianne Silva; Ivanovitch Silva; Daniel G. Costa (SIoT, 2023)

Leveraging IoT and TinyML for Smart Battery Management in Electric Bicycles. - Thommas K. S. Flores; Matheus Andrade; Morsinaldo Medeiros; Miguel Amaral; Marianne Silva; Ivanovitch Silva (SIoT, 2023)

A Framework for Efficient Communication in IoT Applications in the Automotive Industry with OBD-II Edge. - Morsinaldo Medeiros; Mariana Azevedo; Miguel Amaral; Carlos M. D. Viegas; Marianne Silva; Ivanovitch Silva; Daniel G. Costa (SIoT, 2023)

A Framework to Support Collection, Processing and Analysis of Smart Vehicles Data. - Mariana Azevedo; Thaís Medeiros; Morsinaldo Medeiros; Carlos M. D. Viegas; Marianne Silva; Ivanovitch Silva; Daniel G. Costa (WF-IoT, 2023)

A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing. - Morsinaldo Medeiros; Thommas K. S. Flores; Marianne Silva; Ivanovitch Silva (EAIS, 2024)

Optimizing Vehicle IoT Systems: SUMO-Digital Twin Performance Analysis. - Mariana Azevedo; Matheus Andrade; Morsinaldo Medeiros; Thaís Medeiros; Marianne Silva; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari (MetroInd4.0 & IoT, 2024)

TinyML Implementation and Optimization for Fuel Type Classification on OBD-II Edge Device. - Miguel Amaral; Morsinaldo Medeiros; Matheus Andrade; Thommas K. S. Flores; Marianne Silva; Ivanovitch Silva (SIoT, 2024)

TAC: A Python package for IoT-focused Tiny Anomaly Compression. - Miguel Amaral; Gabriel Signoretti; Marianne Batista Diniz Da Silva; Ivanovitch Silva (SoftwareX, 2024)

Timing Challenges in Vehicular TinyML: Characterizing End-to-End Latency. - Hilton Machado; Matheus Andrade; Marianne Silva; Ivanovitch Silva; Dennis Brandão; Paolo Ferrari (MetroInd4.0 & IoT, 2025)

Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering. - Thommas K. S. Flores; Morsinaldo Medeiros; Marianne Silva; Daniel G. Costa; Ivanovitch Silva (IEEE Access, 2025)

Exploring Legislative Textual Data in Brazilian Portuguese: Readability Analysis and Knowledge Graph Generation. - Gisliany Lillian Alves de Oliveira; Breno Santana Santos; Marianne Silva; Ivanovitch Silva (Data, 2025)

TEDA-forecasting: an unsupervised tinyML incremental learning approach for outlier processing and forecasting. - Pedro Andrade; Morsinaldo Medeiros; Marianne Silva; Daniel G. Costa; Ivanovitch Silva (Computing, 2025)