Fabio A. A. Andrade

According to our database, Fabio A. A. Andrade authored at least 22 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Predicting faults in diesel engines with kernel machines regression techniques.

Denys Pestana-Viana, Dionísio H. C. S. S. Martins, Diego B. Haddad, Fabrício Lopes e Silva, Milena F. Pinto, Ricardo H. R. Gutiérrez, Ulisses A. Monteiro, Luiz A. P. Vaz, Thiago de M. Prego, Fabio A. A. Andrade, Luís Tarrataca, Amaro A. de Lima

Appl. Intell., August, 2025

A Novel Stochastic Stability Model for the Coefficient Reusing LMS Algorithm.

Leonardo C. Resende, Fabio Augusto de Alcantara Andrade, Diego Barreto Haddad, Mariane R. Petraglia

Telecommun. Syst., June, 2025

Collaborative Inspection of Solar Panel Farms Using YOLOv5-Based Computer Vision and UGV-UAV Integration.

Johann S. J. C. C. Amorim, Accacio F. S. Neto, Rafael S. Chaves, Alessandro R. L. Zachi, Josiel A. Gouvea, Fabio Augusto de Alcantara Andrade, Milena F. Pinto

J. Intell. Robotic Syst., June, 2025

A novel stochastic model for the steady-state performance of norm-penalized adaptive algorithms.

Lucas Paiva R. da Silva, Fabio A. A. Andrade, Milena F. Pinto, Gilson A. Giraldi, Diego Barreto Haddad

Digit. Signal Process., 2025

Analysis and Control of Ball Displacement in Air Levitation Experiment by Using a Disturbance Rejection-Based Technique.

Alessandro R. L. Zachi, Josiel A. Gouvea, Carlos A. M. Correia, Milena F. Pinto, Mariane R. Petraglia, Diego B. Haddad, Fabio Augusto de Alcantara Andrade

IEEE Access, 2025

Optimizing Object Detection for Maritime Search and Rescue: Progressive Fine-Tuning of YOLOv9 with Real and Synthetic Data.

Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Youcef Djenouri, Carlos Pfeiffer, Marcos Moura

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Cooperative Multi-Modal Robots For Autonomous Coverage Path Planning.

Lluis Prior Sancho, Fabio Augusto de Alcantara Andrade

Proceedings of the 39th ECMS International Conference on Modelling and Simulation, 2025

A Hybrid Deep Learning-Based Approach in Agricultural Sustainability: Apple Orchard Study.

Amin Mavaddat, Fabio A. A. Andrade, Karl Thomas Hjelmervik, Erik Andrew Johannessen, Christian Hovden

Proceedings of the 3rd Cognitive Models and Artificial Intelligence Conference, 2025

2024

Federated Constrastive Learning and Visual Transformers for Personal Recommendation.

Asma Belhadi, Youcef Djenouri, Fabio Augusto de Alcantara Andrade, Gautam Srivastava

Cogn. Comput., September, 2024

Stochastic Modeling of the Set-Membership- Sign-NLMS Algorithm.

José V. G. de Souza, Felipe da Rocha Henriques, Newton N. Siqueira, Luís Tarrataca, Fabio Augusto de Alcantara Andrade, Diego B. Haddad

IEEE Access, 2024

ARCog-NET: An Aerial Robot Cognitive Network Architecture for Swarm Applications Development.

Gabryel Silva Ramos, Felipe da Rocha Henriques, Diego B. Haddad, Fabio Augusto de Alcantara Andrade, Milena F. Pinto

IEEE Access, 2024

Autonomous UAV Exploration and Mapping in Uncharted Terrain Through Boundary-Driven Strategy.

Fabrício O. Coelho, Milena Faria Pinto, Iago Z. Biundini, Gabriel G. R. Castro, Fabio Augusto de Alcantara Andrade, André Luís Marques Marcato

IEEE Access, 2024

Revolutionizing Personal Recommendations via Federated Contrastive Transformer Learning.

Youcef Djenouri, Fabio Augusto de Alcantara Andrade, Gautam Srivastava, Ahmed Nabil Belbachir

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

A Novel Framework to Evaluate and Train Object Detection Models for Real-Time Victims Search and Rescue at Sea with Autonomous Unmanned Aerial Systems Using High-Fidelity Dynamic Marine Simulation Environment.

Rajeev Poudel, Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

1^st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety.

Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Youcef Djenouri, Carlos Pfeiffer, Marcos Moura

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers.

Aurelio G. Melo, Fabio Augusto de Alcantara Andrade, Ihannah Pinto Guedes, Guilherme F. Carvalho, Alessandro R. L. Zachi, Milena F. Pinto

Sensors, 2022

Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications.

Carlos A. M. Correia, Fabio Augusto de Alcantara Andrade, Agnar Sivertsen, Ihannah Pinto Guedes, Milena Faria Pinto, Aline Gesualdi Manhães, Diego Barreto Haddad

Sensors, 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

CoRR, 2022

2019

A Survey of Practical Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems.

Christopher Dahlin Rodin, Fabio Augusto de Alcantara Andrade, Anthony Reinier Hovenburg, Tor Arne Johansen

Sensors, 2019

Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control.

Fabio Augusto de Alcantara Andrade, Anthony Hovenburg, Luciano Netto de Lima, Christopher Dahlin Rodin, Tor Arne Johansen, Rune Storvold, Carlos A. M. Correia, Diego Barreto Haddad

Sensors, 2019

2018

Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems.

Christopher Dahlin Rodin, Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Diego Barreto Haddad, Tor Arne Johansen, Rune Storvold

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018