Performance evaluation of a compression algorithm for wireless sensor networks in monitoring applications. - Ivanovitch M. D. Silva; Luiz Affonso Guedes; Francisco Vasques (ETFA, 2008)

Towards a WirelessHART module for the ns-3 simulator. - Marcelo Nobre; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal (ETFA, 2010)

Preliminary results on the assessment of WirelessHART networks in transient fault scenarios. - Ivanovitch M. D. Silva; Luiz F. Guedes; Paulo Portugal; Francisco Vasques (ETFA, 2011)

Dependability evaluation of WirelessHART best practices. - Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal; Francisco Vasques (ETFA, 2012)

Reliability and Availability Evaluation of Wireless Sensor Networks for Industrial Applications. - Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal; Francisco Vasques (Sensors, 2012)

A framework for dependability evaluation of industrial processes. - Daniel Macedo; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal; Francisco Vasques (ETFA, 2013)

A dependability evaluation tool for the Internet of Things. - Ivanovitch M. D. Silva; Rafael Leandro; Daniel Macêdo Batista; Luiz Affonso Guedes (Comput. Electr. Eng., 2013)

Availability assessment of wireless visual sensor networks for target coverage. - Daniel G. Costa; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal; Francisco Vasques (ETFA, 2014)

Ontology for computer-aided fault tree synthesis. - Allan Venceslau; Raphaela G. F. Lima; Luiz Affonso Guedes; Ivanovitch M. D. Silva (ETFA, 2014)

A dependability evaluation for Internet of Things incorporating redundancy aspects. - Daniel Macedo; Luiz Affonso Guedes; Ivanovitch M. D. Silva (ICNSC, 2014)

Selecting redundant nodes when addressing availability in wireless visual sensor networks. - Daniel G. Costa; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal; Francisco Vasques (INDIN, 2014)

Reliability evaluation of wirelesshart under faulty link scenarios. - Marcelo Nobre; Ivanovitch M. D. Silva; Luiz Affonso Guedes (INDIN, 2014)

Enhancing Redundancy in Wireless Visual Sensor Networks for Target Coverage. - Daniel G. Costa; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Paulo Portugal; Francisco Vasques (WebMedia, 2014)

Availability Issues in Wireless Visual Sensor Networks. - Daniel G. Costa; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Francisco Vasques; Paulo Portugal (Sensors, 2014)

Assessment of WirelessHART networks in closed-loop control system. - Anderson Santos 003; Daniel Lopes; Julio Cesar; Layon Luciano; Adrião Duarte Dória Neto; Luiz Affonso Guedes; Ivanovitch Silva (ICIT, 2015)

Optimal sensing redundancy for multiple perspectives of targets in wireless visual sensor networks. - Daniel G. Costa; Ivanovitch M. D. Silva; Luiz Affonso Guedes; Francisco Vasques; Paulo Portugal (INDIN, 2015)

SystemC AMS modeling of a sensor node energy consumption and battery state-of-charge for WSN. - Michel Vasilevski; E. Queiroz; A. L. Fonseca; Ivanovitch Silva; Sebastian Yuri Cavalcanti Catunda; Luiz Affonso Guedes (NEWCAS, 2015)

Performance evaluation of WirelessHART networks using a new network simulator 3 module. - Marcelo Nobre; Ivanovitch M. D. Silva; Luiz Affonso Guedes (Comput. Electr. Eng., 2015)

Routing and Scheduling Algorithms for WirelessHARTNetworks: A Survey. - Marcelo Nobre; Ivanovitch M. D. Silva; Luiz Affonso Guedes (Sensors, 2015)

A Hybrid Architecture for Experimentation in Wireless Sensor Networks. - Gilles Silvano; Ivanovitch Silva; Leonardo Willer de Oliveira; Marcos Pinheiro; Bruno Ferreira 003 (SBESC, 2016)

LVWNet: an hybrid simulation architecture for wireless sensor networks. - Gilles Silvano; Ivanovitch Silva; Leonardo Willer de Oliveira; Marcos Pinheiro; Bruno Ferreira 003 (Des. Autom. Embed. Syst., 2017)

Research activities on industrial wireless instrumentation: Brazilian perspective. - Guilherme Bertelli; Anderson Santos 003; Ivanovitch Silva; Renato Fernandes; Dennis Brandão; Ivan Müller; João Cesar Netto; Jean Michel Winter; Carlos Eduardo Pereira (IEEE Instrum. Meas. Mag., 2017)

Latency evaluation for MQTT and WebSocket Protocols: an Industry 4.0 perspective. - Diego R. C. Silva; Guilherme M. B. Oliveira; Ivanovitch M. D. Da Silva; Paolo Ferrari; Emiliano Sisinni (ISCC, 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)

Enhanced flexible LoRaWAN node for industrial IoT. - Emiliano Sisinni; Dhiego Fernandes Carvalho; Paolo Ferrari; Alessandra Flammini; Diego Rodrigo Cabral Silva; Ivanovitch M. D. Da Silva (WFCS, 2018)

An Effective Extension of Anti-Collision Protocol for RFID in the Industrial Internet of Things (IIoT). - Israel Eduardo de Barros Filho; Ivanovitch Silva; Carlos M. D. Viegas (Sensors, 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 Preliminary Exploration of Uber Data as an Indicator of Urban Liveability. - Aguinaldo Bezerra; Gisliany Alves; Ivanovitch Silva; Pierangelo Rosati; Patricia Takako Endo; Theo Lynn (CyberSA, 2019)

A Comparison of Machine Learning Approaches for Detecting Misogynistic Speech in Urban Dictionary. - Theo Lynn; Patricia Takako Endo; Pierangelo Rosati; Ivanovitch Silva; Guto Leoni Santos; Debbie Ging (CyberSA, 2019)

Analysing Dependability and Performance of a Real-World Elastic Search Application. - Malika Bendechache; Theo Lynn; Ivanovitch Silva; Guto Leoni Santos; Luiz Affonso Guedes; Sergej Svorobej; Manuel Noya Mario; M. Eduardo Ares; James Byrne; Patricia Takako Endo (LADC, 2019)

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)

Implementation of a Dependable Smart Device in IoT Era. - Diego R. C. Silva; Marcelo B. Nogueira; Marconi C. Rodrigues; Ivanovitch 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)

Brazilian Mercosur License Plate Detection: a Deep Learning Approach Relying on Synthetic Imagery. - Vinicius Campos Tinoco Ribeiro; Vitor Rodrigues Greati; Aguinaldo Bezerra; Gilles Silvano; Ivanovitch Silva; Patricia Takako Endo; Theo Lynn (SBESC, 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)

Extracting Value from Industrial Alarms and Events: A Data-Driven Approach Based on Exploratory Data Analysis. - Aguinaldo Bezerra; Ivanovitch Silva; Luiz Affonso Guedes; Diego R. C. Silva; Gustavo Bezerra Paz Leitao; Kaku Saito (Sensors, 2019)

Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks. - Guto Leoni Santos; Patricia Takako Endo; Kayo Monteiro; Élisson da Silva Rocha; Ivanovitch Silva; Theo Lynn (Sensors, 2019)

Urban Dictionary definitions dataset for misogyny speech detection. - Theo Lynn; Patricia Takako Endo; Pierangelo Rosati; Ivanovitch Silva; Guto Leoni Santos; Debbie Ging (IEEE DataPort, 2019)

Evaluating Human-Machine Translation with Attention Mechanisms for Industry 4.0 Environment SQL-Based Systems. - Silvan Ferreira; Gustavo Bezerra Paz Leitao; Ivanovitch Silva; Allan de M. Martins; Paolo Ferrari (MetroInd4.0&IoT, 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)

Medidas de distanciamento social e mobilidade na América do Sul durante a pandemia por COVID-19: Condições necessárias e suficientes? - Gisliany Lillian Alves de Oliveira; Luciana Conceição de Lima; Ivanovitch Silva; Marcel da Câmara Ribeiro-Dantas; Kayo Henrique Monteiro; Patricia Takako Endo (CoRR, 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)

MSensorMob: A Multi-Sensors Hardware Framework to Support the Development of Adaptable Monitoring Units in Mobile Applications. - Franklin Oliveira; Daniel G. Costa; Ivanovitch Silva; Pedro Andrade; Anfranserai Dias (MetroInd4.0&IoT, 2021)

A reliability and performance GSPN-Based model for anti-collision RFID algorithms under noisy channels in industrial internet of things. - Israel Eduardo de Barros Filho; Ivanovitch Silva; Daniel G. Costa; Carlos M. D. Viegas; Paolo Ferrari (Comput. Ind., 2021)

Synthetic image generation for training deep learning-based automated license plate recognition systems on the Brazilian Mercosur standard. - Gilles Silvano; Vinicius Campos Tinoco Ribeiro; Vitor Rodrigues Greati; Aguinaldo Bezerra; Ivanovitch Silva; Patricia Takako Endo; Theo Lynn (Des. Autom. Embed. Syst., 2021)

Evaluating Social Distancing Measures and Their Association with the Covid-19 Pandemic in South America. - Gisliany Lillian Alves de Oliveira; Luciana Conceição de Lima; Ivanovitch Silva; Marcel da Câmara Ribeiro-Dantas; Kayo Henrique Monteiro; Patricia Takako Endo (ISPRS Int. J. Geo Inf., 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)

Illusion of Truth: Analysing and Classifying COVID-19 Fake News in Brazilian Portuguese Language. - Patricia Takako Endo; Guto Leoni Santos; Maria Eduarda de Lima Xavier; Gleyson Rhuan Nascimento Campos; Luciana Conceição de Lima; Ivanovitch Silva; Antonia Egli; Theo Lynn (Big Data Cogn. Comput., 2022)

Discovering temporal scientometric knowledge in COVID-19 scholarly production. - Breno Santana Santos; Ivanovitch Silva; Luciana Conceição de Lima; Patricia Takako Endo; Gisliany Alves; Marcel da Câmara Ribeiro-Dantas (Scientometrics, 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)

On the Use of LoRaWAN and Cloud Platforms for Diversification of Mobility-as-a-Service Infrastructure in Smart City Scenarios. - Paolo Ferrari; Emiliano Sisinni; Paolo Bellagente; Dhiego Fernandes Carvalho; Alessandro Depari; Alessandra Flammini; Marco Pasetti; Stefano Rinaldi; Ivanovitch Silva (IEEE Trans. Instrum. Meas., 2022)

TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance. - Jordão da Silva; Thommas K. S. Flores; Silvan Júnior; Ivanovitch Silva (LA-CCI, 2023)

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 Multi Soft-sensor Approach for the Development of Emergencies Detection Units on the Edge. - Franklin Oliveira; Daniel G. Costa; Flávio Assis 001; Ivanovitch Silva (MetroInd4.0&IoT, 2023)

Can adaptive strategies sustain bidirectional LoRaWAN traffic? - Emiliano Sisinni; Alessandro Depari; Paolo Bellagente; Alessandra Flammini; Ivanovitch Silva; Thommas K. S. Flores; 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)

End-to-end Semantic Object Detection with Cross-Modal Alignment. - Silvan Ferreira; Allan de Medeiros Martins; Ivanovitch Silva (CoRR, 2023)

SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understanding. - Silvan Ferreira; Allan de M. Martins; Ivanovitch Silva (CoRR, 2023)

Symmetry in Scientific Collaboration Networks: A Study Using Temporal Graph Data Science and Scientometrics. - Breno Santana Santos; Ivanovitch Silva; Daniel G. Costa (Symmetry, 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)

Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence. - Silvan Ferreira; Ivanovitch Silva; Allan de M. Martins (CoRR, 2024)

Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning. - Franklin Oliveira; Daniel G. Costa; Flávio Assis 001; Ivanovitch Silva (Internet Things, 2024)

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

Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique. - Pedro Andrade; Ivanovitch Silva; Marianne Diniz; Thommas K. S. Flores; Daniel G. Costa; Eduardo A. Soares 001 (ACM Trans. Embed. Comput. Syst., 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)

Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles. - Thommas K. S. Flores; Ivanovitch Silva; Mariana Azevedo; Thaís Medeiros; Morsinaldo Medeiros; Daniel G. Costa; Paolo Ferrari; Emiliano Sisinni (IEEE Micro, 2025)

TensorFlores: An enhanced Python-based TinyML framework. - Thommas K. S. Flores; Daniel G. Costa; Ivanovitch Silva (SoftwareX, 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)