Algoritmi | User | João Carlos Sampaio Maldonado Costa Mendes
João Carlos Sampaio Maldonado Costa Mendes
João Carlos Sampaio Maldonado Costa Mendes
At Algoritmi
Assistant Researcher with MSc
Member of the SEOR R&D Group
Academic Degree
MSc
Current Position
Assistant Researcher at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
jcsmcmendes@hotmail.comOrcid
0000-0003-0979-8314Researcher ID
Ciência ID
EA1F-844D-6BA9Google Scholar
h-index
4Publications
24Editorial
0Citations
54Q1 / Q2
0About Me 
João Mendes has a degree in Mechanical Engineering from the Instituto Politécnico de Bragança, Portugal, having completed a master's degree in Industrial Engineering at the same institution. Currently attending the PhD in Engineering and Systems at the University of Minho. He is part of the research team at the Center for Research in Digitization and Intelligent Robotics (CeDRI). He currently serves as a higher technician on the OleaChain project: Skills for sustainability and innovation in the value chain of traditional olive groves in the Northern Interior of Portugal. He is responsible for data analysis and treatment, algorithms, modeling, optimization, simulation, and artificial intelligence algorithms. He develops software for classifying the different varieties of olive trees in the region through their leaves, using artificial intelligence algorithms to analyze, process, and classify. The main areas of research interest are big data, deep and machine learning, data analysis and treatment, predictive methods, and industry 4.0.
Publications (33)
Impact of hyper-parameter tuning on CNN accuracy in agricultural image classification
Smart Agricultural Technology
2025 | journal-article
Deep learning networks for olive cultivar identification: A comprehensive analysis of convolutional neural networks
Smart Agricultural Technology
2024 | journal-article
A YOLO-Based Insect Detection: Potential Use of Small Multirotor Unmanned Aerial Vehicles (UAVs) Monitoring
Communications in Computer and Information Science
2024 | book-chapter
Adaptive Convolutional Neural Network for Predicting Steering Angle and Acceleration on Autonomous Driving Scenario
2024 | book-chapter
An Artificial Intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills
2024 | book-chapter
Deep Learning Networks for Olive Cultivar Identification: A Comprehensive Analysis of Convolutional Neural Networks.
Smart Agricultural Technology
2024 | journal-article
Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach
2024 | book-chapter
Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition
Communications in Computer and Information Science
2024 | book-chapter
Optimization of Machine Learning Models Applied to Robot Localization in the RobotAtFactory 4.0 Competition
2024 | book-chapter
Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques
2024 | book-chapter
Route Optimization for Urban Last-Mile Delivery: Truck vs. Drone Performance
2024 | book-chapter
Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment
2024 | book-chapter
Pest Management in Olive Cultivation through Computer Vision: A Comparative Study of Detection Methods for Yellow Sticky Traps
Sixth Iberian Robotics Conference ROBOT 2023
2023 | conference-paper
Advance reconnaissance of UGV path planning using unmanned aerial vehicle to carry our mission in unknown environment
Sixth Iberian Robotics Conference ROBOT 2023
2023 | conference-paper
UAV-Assisted Navigation for Insect Traps in Olive Groves
Sixth Iberian Robotics Conference ROBOT 2023
2023 | conference-paper
A YOLO-based insect detection: Potential use of small multirrotor UAV monitoring
3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023)
2023 | conference-paper
Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study
2023 | conference-paper
A Machine Learning Approach to Robot Localization Using Fiducial Markers in RobotAtFactory 4.0 Competition
Sensors
2023 | journal-article
Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System
Sensors
2023 | journal-article
Impact of Organizational Factors on Accident Prediction in the Retail Sector
2023 | book-chapter
A Forest Fire Monitoring System Based on IoT Technology
French German and Portuguese Conference of Optimization
2022 | conference-paper
Artificial Intelligence to Identify Olive-Tree Cultivars
Symposium of Applied Science for Young Researchers - SASYR 2022
2022 | conference-paper
Machine Learning to Identify Olive-Tree Cultivars
2022 | book-chapter
Map Coverage of LoRaWAN Signal’s Employing GPS from Mobile Devices
2022 | book-chapter
Object Detection for Indoor Localization System
2022 | book-chapter
Position Estimator for a Follow Line Robot: Comparison of Least Squares and Machine Learning Approaches
Lecture Notes in Networks and Systems
2022 | book-chapter
Clustering Analysis - a Case Study
19th International Conference of Numerical Analysis and Applied Mathematics
2021 | conference-paper
A SAÚDE MENTAL NA POPULAÇÃO DAS INSTITUIÇÕES ASSOCIADAS DA CNIS
CNIS - Confederação Nacional de Instituições de Solidariedade.
2021 | book
Optimizing Data Transmission in a Wireless Sensor Network Based on LoRaWAN Protocol
2021 | book-chapter
Deep Learning method to identify fire ignitions
VII WCDANM
2020 | conference-abstract
Deep Learning method to identify fire ignitions
VII WCDANM
2020 | conference-paper
Deep Learning method in fire prediction
VI Encontro de Jovens Investigadores
2019 | conference-abstract
Deep Learning method in fire prediction
VI Encontro de Jovens Investigadores
2019 | conference-paper
Fundings (0)
No title available
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History
| Init | End | Change | Value | |
|---|---|---|---|---|
| Group | SEOR | |||
| Internal Member Type | ||||
Impact of hyper-parameter tuning on CNN accuracy in agricultural image classification
Smart Agricultural Technology
2025 | journal-article
Deep learning networks for olive cultivar identification: A comprehensive analysis of convolutional neural networks
Smart Agricultural Technology
2024 | journal-article
A YOLO-Based Insect Detection: Potential Use of Small Multirotor Unmanned Aerial Vehicles (UAVs) Monitoring
Communications in Computer and Information Science
2024 | book-chapter
Adaptive Convolutional Neural Network for Predicting Steering Angle and Acceleration on Autonomous Driving Scenario
2024 | book-chapter
An Artificial Intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills
2024 | book-chapter
Deep Learning Networks for Olive Cultivar Identification: A Comprehensive Analysis of Convolutional Neural Networks.
Smart Agricultural Technology
2024 | journal-article
Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach
2024 | book-chapter
Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition
Communications in Computer and Information Science
2024 | book-chapter
Optimization of Machine Learning Models Applied to Robot Localization in the RobotAtFactory 4.0 Competition
2024 | book-chapter
Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques
2024 | book-chapter
Route Optimization for Urban Last-Mile Delivery: Truck vs. Drone Performance
2024 | book-chapter
Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment
2024 | book-chapter
Pest Management in Olive Cultivation through Computer Vision: A Comparative Study of Detection Methods for Yellow Sticky Traps
Sixth Iberian Robotics Conference ROBOT 2023
2023 | conference-paper
Advance reconnaissance of UGV path planning using unmanned aerial vehicle to carry our mission in unknown environment
Sixth Iberian Robotics Conference ROBOT 2023
2023 | conference-paper
UAV-Assisted Navigation for Insect Traps in Olive Groves
Sixth Iberian Robotics Conference ROBOT 2023
2023 | conference-paper
A YOLO-based insect detection: Potential use of small multirrotor UAV monitoring
3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023)
2023 | conference-paper
Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study
2023 | conference-paper
A Machine Learning Approach to Robot Localization Using Fiducial Markers in RobotAtFactory 4.0 Competition
Sensors
2023 | journal-article
Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System
Sensors
2023 | journal-article
Impact of Organizational Factors on Accident Prediction in the Retail Sector
2023 | book-chapter
A Forest Fire Monitoring System Based on IoT Technology
French German and Portuguese Conference of Optimization
2022 | conference-paper
Artificial Intelligence to Identify Olive-Tree Cultivars
Symposium of Applied Science for Young Researchers - SASYR 2022
2022 | conference-paper
Machine Learning to Identify Olive-Tree Cultivars
2022 | book-chapter
Map Coverage of LoRaWAN Signal’s Employing GPS from Mobile Devices
2022 | book-chapter
Object Detection for Indoor Localization System
2022 | book-chapter
Position Estimator for a Follow Line Robot: Comparison of Least Squares and Machine Learning Approaches
Lecture Notes in Networks and Systems
2022 | book-chapter
Clustering Analysis - a Case Study
19th International Conference of Numerical Analysis and Applied Mathematics
2021 | conference-paper
A SAÚDE MENTAL NA POPULAÇÃO DAS INSTITUIÇÕES ASSOCIADAS DA CNIS
CNIS - Confederação Nacional de Instituições de Solidariedade.
2021 | book
Optimizing Data Transmission in a Wireless Sensor Network Based on LoRaWAN Protocol
2021 | book-chapter
Deep Learning method to identify fire ignitions
VII WCDANM
2020 | conference-abstract
Deep Learning method to identify fire ignitions
VII WCDANM
2020 | conference-paper
Deep Learning method in fire prediction
VI Encontro de Jovens Investigadores
2019 | conference-abstract
Deep Learning method in fire prediction
VI Encontro de Jovens Investigadores
2019 | conference-paper
No title available
No journal available
No publication date available
No title available
No journal available
No publication date available
No title available
No journal available
No publication date available
| Start | End | Term | Value | |
|---|---|---|---|---|
| Group | SEOR | |||
| Internal Member Type | ||||
