Acoustic image estimation using fast transforms. - Vítor H. Nascimento; Mateus C. Silva; Bruno S. Masiero (SAM, 2016)

Toward the Design of a Novel Wearable System for Field Research in Ecology. - Mateus Coelho Silva; Saul E. Delabrida; Sérvio Pontes Ribeiro; Ricardo A. O. Oliveira (SBESC, 2018)

Analyzing the Effect of Increased Distribution on a Wearable Appliance. - Mateus Coelho Silva; Ricardo Oliveira 001 (COMPSAC (2), 2019)

Evaluating the Effect of Audio Feedback on the Behavior of Automotive Fatigue and Distraction Detection System Users. - Ricardo C. Câmara de M. Santos; Mateus Coelho Silva; Ricardo Augusto Rabelo Oliveira (SBESC, 2019)

Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices' Performance. - Vicente J. P. Amorim; Mateus C. Silva; Ricardo Augusto Rabelo Oliveira (Sensors, 2019)

Field Research Cooperative Wearable Systems: Challenges in Requirements, Design and Validation. - Mateus C. Silva; Vicente J. P. Amorim; Sérvio Pontes Ribeiro; Ricardo Augusto Rabelo Oliveira (Sensors, 2019)

Constraints and Challenges in Designing Applications for Industry 4.0: A Functional Approach. - Mateus Coelho Silva; Frederico Luiz Martins de Sousa; Débora Lage Moreira Barbosa; Ricardo Augusto Rabelo Oliveira (ICEIS (1), 2020)

Real-Time Systems Implications in the Blockchain-Based Vertical Integration of Industry 4.0. - Charles Tim Batista Garrocho; Mateus Coelho Silva; Celio Marcio Soares Ferreira; Carlos Frederico Marcelo da Cunha Cavalcanti; Ricardo Augusto Rabelo Oliveira (Computer, 2020)

Edge Deep Learning Applied to Granulometric Analysis on Quasi-particles from the Hybrid Pelletized Sinter (HPS) Process. - Natália F. de C. Meira; Mateus C. Silva; Ricardo A. R. Oliveira; Aline Souza; Thiago D'Angelo; Cláudio B. Vieira (ICEIS (1), 2021)

Edge Deep Learning Towards the Metallurgical Industry: Improving the Hybrid Pelletized Sinter (HPS) Process. - Natália F. de C. Meira; Mateus C. Silva; Cláudio B. Vieira; Alinne Souza; Ricardo A. R. Oliveira (ICEIS (Revised Selected Papers), 2021)

Faceshield HUD: Extended Usage of Wearable Computing on the COVID-19 Frontline. - Mateus C. Silva; Ricardo A. R. Oliveira; Thiago D'Angelo; Charles Tim Batista Garrocho; Vicente J. P. Amorim (ICEIS (1), 2021)

An Improved Deep Learning Application for Leaf Shape Reconstruction and Damage Estimation. - Mateus Coelho Silva; Sérvio Pontes Ribeiro; Andrea Gomes Campos Bianchi; Ricardo Augusto Rabelo Oliveira (ICEIS (1), 2021)

IDiSSC: Edge-computing-based Intelligent Diagnosis Support System for Citrus Inspection. - Mateus Coelho Silva; Jonathan Cristóvão Ferreira da Silva; Ricardo Augusto Rabelo Oliveira (ICEIS (1), 2021)

Synchronous and Asynchronous Requirements for Digital Twins Applications in Industry 4.0. - Rafael Ferreira Vitor; Breno N. S. Keller; Débora Lage Moreira Barbosa; Débora Nasser Diniz; Mateus C. Silva; Ricardo A. R. Oliveira; Saul Emanuel Delabrida Silva (ICEIS (2), 2021)

Enabling Digital Twins in Industry 4.0. - Rafael Ferreira Vitor; Breno N. S. Keller; Débora Lage Moreira Barbosa; Débora Nasser Diniz; Mateus C. Silva; Ricardo A. R. Oliveira; Saul Emanuel Delabrida Silva (ICEIS (Revised Selected Papers), 2021)

Leaf shape reconstruction and damage estimation using a U-net-based conditional GAN. - Mateus C. Silva; Andrea G. C. Bianchi; Sérvio Pontes Ribeiro; Ricardo A. R. Oliveira (SAC, 2021)

Deep-Learning-Based Embedded ADAS System. - Frederico Luiz Martins de Sousa; Maurício José da Silva; Ricardo C. Câmara de M. Santos; Mateus Coelho Silva; Ricardo Augusto Rabelo Oliveira (SBESC, 2021)

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications. - Pollyanna G. Faria Dias; Mateus C. Silva; Geraldo P. Rocha Filho; Patrícia A. Vargas; Luciano Perdigão Cota; Gustavo Pessin (Sensors, 2021)

Wearable Edge AI Applications for Ecological Environments. - Mateus C. Silva; Jonathan Cristóvão Ferreira da Silva; Saul E. Delabrida; Andrea G. C. Bianchi; Sérvio Pontes Ribeiro; Jorge Sá Silva; Ricardo A. R. Oliveira (Sensors, 2021)

Towards a novel wearable solution for citrus inspection using Edge AI. - Jonathan Cristóvão Ferreira da Silva; Mateus Coelho Silva; Ricardo A. R. Oliveira (COMPSAC, 2022)

Applying Edge AI towards Deep-learning-based Monocular Visual Odometry Model for Mobile Robotics. - Frederico Luiz Martins de Sousa; Mateus Coelho Silva; Ricardo Augusto Rabelo Oliveira (ICEIS (1), 2022)

Designing a Multiple-User Wearable Edge AI system towards Human Activity Recognition. - Mateus Coelho Silva; Andrea Gomes Campos Bianchi; Ricardo Augusto Rabelo Oliveira; Sérvio Pontes Ribeiro (SBESC, 2022)

Mask R-CNN Applied to Quasi-particle Segmentation from the Hybrid Pelletized Sinter (HPS) Process. - Natália F. de C. Meira; Mateus C. Silva; Andrea G. C. Bianchi; Cláudio B. Vieira; Alinne Souza; Efrem Ribeiro; Roberto O. Junior; Ricardo A. R. Oliveira (VISIGRAPP (4: VISAPP), 2022)

Deep Learning Approach at the Edge to Detect Iron Ore Type. - Emerson Klippel; Andrea Gomes Campos Bianchi; Saul E. Delabrida; Mateus Coelho Silva; Charles Tim Batista Garrocho; Vinicius da Silva Moreira; Ricardo Augusto Rabelo Oliveira (Sensors, 2022)

Bringing Deep Learning to the Fields and Forests: Leaf Reconstruction and Shape Estimation. - Mateus C. Silva; Andrea G. C. Bianchi; Sérvio Pontes Ribeiro; Ricardo A. R. Oliveira (SN Comput. Sci., 2022)

Towards a Novel Edge AI System for Particle Size Detection in Mineral Processing Plants. - Flávio Wellb Cardoso; Mateus Coelho Silva; Natália F. de C. Meira; Ricardo Augusto Rabelo Oliveira; Andrea Gomes Campos Bianchi (ICEIS (1), 2023)

Advancing Particle Size Detection in Mineral Processing: Exploring Edge AI Solutions. - Flávio Wellb Cardoso; Mateus Coelho Silva; Natália F. de C. Meira; Ricardo Augusto Rabelo Oliveira; Andrea Gomes Campos Bianchi (ICEIS (Revised Selected Papers 1), 2023)

Generating Synthetic Faces for Data Augmentation with StyleGAN2-ADA. - Natália F. de C. Meira; Mateus C. Silva; Andrea G. C. Bianchi; Ricardo A. R. Oliveira (ICEIS (1), 2023)

Towards Autonomous Mobile Inspection Robots Using Edge AI. - Ricardo C. Câmara de M. Santos; Mateus Coelho Silva; Rodrigo Lucas Santos; Emerson Klippel; Ricardo A. R. Oliveira (ICEIS (1), 2023)

An Automatic Ant Counting and Distribution Estimation System Using Convolutional Neural Networks. - Mateus Coelho Silva; Breno Henrique Felisberto; Mateus Caldeira Batista; Andrea Gomes Campos Bianchi; Sérvio Pontes Ribeiro; Ricardo Augusto Rabelo Oliveira (ICEIS (1), 2023)

Expanding the Capacities of a CNN-Based Ant Counting and Density Estimation Application. - Mateus Coelho Silva; Breno Henrique Felisberto; Mateus Caldeira Batista; Andrea Gomes Campos Bianchi; Sérvio Pontes Ribeiro; Ricardo Augusto Rabelo Oliveira (ICEIS (Revised Selected Papers 1), 2023)

EduVR: Towards an Evaluation Platform for User Interactions in Personalized Virtual Reality Learning Environments. - Robson Santiago Viol; Paula Cintra Fernandes; Iago Izidório Lacerda; Koda Gabriel Faria Melo; Arilton Junior de Aguilar Nunes; André Schneider Guimarães Montresor Pimenta; Cláudia Martins Carneiro; Mateus Coelho Silva; Saul E. Delabrida (IHC, 2023)

Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization. - Natália F. de C. Meira; Ricardo C. Câmara de M. Santos; Mateus C. Silva; Eduardo José da S. Luz; Ricardo A. R. Oliveira (VISIGRAPP (5: VISAPP), 2023)

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards. - Jonathan Cristóvão Ferreira da Silva; Mateus Coelho Silva; Eduardo José da S. Luz; Saul E. Delabrida; Ricardo A. R. Oliveira (Sensors, 2023)

The Power of Gyroscope Data: Advancing Human Movement Analysis for Walking and Running Activities. - Patrick B. N. Alvim; Jonathan C. F. da Silva; Vicente J. P. Amorim; Pedro S. O. Lazaroni; Mateus Coelho Silva; Ricardo A. R. Oliveira (ICEIS (1), 2024)

Using Soft Computing and Computer Vision to Create and Control an Integrated Autonomous Robotic Manipulator Process. - João Antônio Toledo Rodrigues; Samuel Dos Anjos; Mateus Coelho Silva; Ricardo C. Câmara de M. Santos; Ricardo Augusto Rabelo Oliveira (ICEIS (1), 2024)

A Computer Vision-Based Method for Collecting Ground Truth for Mobile Robot Odometry. - Ricardo C. Câmara de M. Santos; Mateus Coelho Silva; Ricardo A. R. Oliveira (ICEIS (1), 2024)

An Extension of Orbslam for Mobile Robot Using Lidar and Monocular Camera Data for SLAM Without Odometry. - Rodrigo Lucas Santos; Mateus Coelho Silva; Ricardo A. R. Oliveira (ICEIS (1), 2024)

Industry 4.0: Wearable IoT Device Applied to Warehouse Management. - Lucas Samaniego Vicente; Saul E. Delabrida; Mateus Coelho Silva; Adrielle de Carvalho Santana; Ricardo Augusto Rabelo Oliveira (ICEIS (2), 2024)

An Approach for Data Augmentation in HAR with Wearable Sensors Using TIMEGAN. - Jonathan C. F. da Silva; Mateus C. Silva; Vicente J. P. Amorim; Pedro S. O. Lazaroni; Ricardo A. R. Oliveira (ICMLA, 2024)

Wearable Sensors: Improving AI for Walking Activities Through GAN-Based Data Augmentation. - Jonathan C. F. da Silva; Mateus C. Silva; Vicente J. P. Amorim; Pedro S. O. Lazaroni; Ricardo A. R. Oliveira (SBESC, 2024)

Obtaining the Grundy chromatic number: How bad can my greedy heuristic coloring be? - Mateus C. Silva; Rafael A. Melo; Mauricio G. C. Resende; Marcio Costa Santos; Rodrigo F. Toso (Comput. Oper. Res., 2024)

The connected Grundy coloring problem: Formulations and a local-search enhanced biased random-key genetic algorithm. - Mateus C. Silva; Rafael A. Melo; Mauricio G. C. Resende; Marcio Costa Santos; Rodrigo F. Toso (CoRR, 2024)

Blockchain-Based Smart Contract and Edge AI Applied in a Multirobot System: An Approach. - Charles Tim Batista Garrocho; Frederico Luiz Martins de Sousa; Mateus C. Silva; Ricardo A. R. Oliveira (IEEE Robotics Autom. Mag., 2024)

Towards a VR-BCI Based System to Evaluate the Effectiveness of Immersive Technologies in Industry. - Mateus Nazário Coelho; João Victor Jardim; Mateus Coelho Silva; Flávia P. C. Silvas; Saul E. Delabrida (ICEIS (2), 2025)

The connected Grundy coloring problem: Formulations and a local-search enhanced biased random-key genetic algorithm. - Mateus C. Silva; Rafael A. Melo; Mauricio G. C. Resende; Marcio C. Santos; Rodrigo F. Toso (Comput. Oper. Res., 2025)

EduVR Collab: A tool for management immersive collaborative learning. - Robson Santiago Viol; Paula Cintra Fernandes; Iago Izidório Lacerda; Koda Gabriel Faria Melo; Arilton Junior de Aguilar Nunes; André Schneider Guimarães Montresor Pimenta; Cláudia Martins Carneiro; Mateus Coelho Silva; Saul Emanuel Delabrida (J. Interact. Syst., 2025)