Mateus C. Silva

Orcid: 0000-0003-3717-1906

According to our database1, Mateus C. Silva authored at least 40 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Blockchain-Based Smart Contract and Edge AI Applied in a Multirobot System: An Approach.
IEEE Robotics Autom. Mag., September, 2024

Obtaining the Grundy chromatic number: How bad can my greedy heuristic coloring be?
Comput. Oper. Res., 2024

Wearable Sensors: Improving AI for Walking Activities Through GAN-Based Data Augmentation.
Proceedings of the XIV Brazilian Symposium on Computing Systems Engineering, 2024

Industry 4.0: Wearable IoT Device Applied to Warehouse Management.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

An Extension of Orbslam for Mobile Robot Using Lidar and Monocular Camera Data for SLAM Without Odometry.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

A Computer Vision-Based Method for Collecting Ground Truth for Mobile Robot Odometry.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Using Soft Computing and Computer Vision to Create and Control an Integrated Autonomous Robotic Manipulator Process.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

The Power of Gyroscope Data: Advancing Human Movement Analysis for Walking and Running Activities.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2023
Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards.
Sensors, February, 2023

Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

EduVR: Towards an Evaluation Platform for User Interactions in Personalized Virtual Reality Learning Environments.
Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems, 2023

An Automatic Ant Counting and Distribution Estimation System Using Convolutional Neural Networks.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Towards Autonomous Mobile Inspection Robots Using Edge AI.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Generating Synthetic Faces for Data Augmentation with StyleGAN2-ADA.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Towards a Novel Edge AI System for Particle Size Detection in Mineral Processing Plants.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022
Bringing Deep Learning to the Fields and Forests: Leaf Reconstruction and Shape Estimation.
SN Comput. Sci., 2022

Deep Learning Approach at the Edge to Detect Iron Ore Type.
Sensors, 2022

Mask R-CNN Applied to Quasi-particle Segmentation from the Hybrid Pelletized Sinter (HPS) Process.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Designing a Multiple-User Wearable Edge AI system towards Human Activity Recognition.
Proceedings of the XII Brazilian Symposium on Computing Systems Engineering, 2022

Applying Edge AI towards Deep-learning-based Monocular Visual Odometry Model for Mobile Robotics.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Towards a novel wearable solution for citrus inspection using Edge AI.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Wearable Edge AI Applications for Ecological Environments.
Sensors, 2021

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications.
Sensors, 2021

Deep-Learning-Based Embedded ADAS System.
Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, 2021

Leaf shape reconstruction and damage estimation using a U-net-based conditional GAN.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Enabling Digital Twins in Industry 4.0.
Proceedings of the Enterprise Information Systems - 23rd International Conference, 2021

Synchronous and Asynchronous Requirements for Digital Twins Applications in Industry 4.0.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

IDiSSC: Edge-computing-based Intelligent Diagnosis Support System for Citrus Inspection.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

An Improved Deep Learning Application for Leaf Shape Reconstruction and Damage Estimation.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Faceshield HUD: Extended Usage of Wearable Computing on the COVID-19 Frontline.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Edge Deep Learning Towards the Metallurgical Industry: Improving the Hybrid Pelletized Sinter (HPS) Process.
Proceedings of the Enterprise Information Systems - 23rd International Conference, 2021

Edge Deep Learning Applied to Granulometric Analysis on Quasi-particles from the Hybrid Pelletized Sinter (HPS) Process.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

2020
Real-Time Systems Implications in the Blockchain-Based Vertical Integration of Industry 4.0.
Computer, 2020

Constraints and Challenges in Designing Applications for Industry 4.0: A Functional Approach.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

2019
Field Research Cooperative Wearable Systems: Challenges in Requirements, Design and Validation.
Sensors, 2019

Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices' Performance.
Sensors, 2019

Evaluating the Effect of Audio Feedback on the Behavior of Automotive Fatigue and Distraction Detection System Users.
Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, 2019

Analyzing the Effect of Increased Distribution on a Wearable Appliance.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Toward the Design of a Novel Wearable System for Field Research in Ecology.
Proceedings of the VIII Brazilian Symposium on Computing Systems Engineering, 2018

2016
Acoustic image estimation using fast transforms.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016


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