UAV downwash dynamic texture features for terrain classification on autonomous navigation. - João Pedro Matos-Carvalho; José Manuel Fonseca; André Damas Mora (FedCSIS, 2018)

Vision-based UAV detection and tracking using motion signatures. - Pedro Alexandre Prates; Ricardo Mendonça; André Lourenço; Francisco Marques; João Pedro Matos-Carvalho; José Barata (ICPS, 2018)

GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing. - Ricardo Silva Peres; André Dionísio Rocha; João Pedro Matos-Carvalho; José Barata (INDIN, 2018)

Use of Particle Swarm Optimization in Terrain Classification based on UAV Downwash. - Iuliia Kim; João Pedro Matos-Carvalho; Ilya I. Viksnin; Luís Miguel Campos; José Manuel Fonseca; André Mora; Sergey Chuprov (CEC, 2019)

UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters. - João Pedro Matos-Carvalho; André Mora; Raul Tello Rato; Ricardo Mendonça; José M. Fonseca 001 (DoCEIS, 2019)

Terrain Classification Using W-K Filter and 3D Navigation with Static Collision Avoidance. - João Pedro Matos-Carvalho; Dário Pedro; Luís Miguel Campos; José Manuel Fonseca; André Mora (IntelliSys (2), 2019)

Semantic Navigation Mapping from Aerial Multispectral Imagery. - Ana Beatriz Salvado; Ricardo Mendonça; André Lourenço; Francisco Marques; João Pedro Matos-Carvalho; Luís Miguel Campos; José Barata (ISIE, 2019)

Terrain Classification Using Static and Dynamic Texture Features by UAV Downwash Effect. - João Pedro Matos-Carvalho; José Manuel Fonseca; André Damas Mora (J. Autom. Mob. Robotics Intell. Syst., 2019)

Static and Dynamic Algorithms for Terrain Classification in UAV Aerial Imagery. - João Pedro Matos-Carvalho; Filipe Moutinho; Ana Beatriz Salvado; Tiago Carrasqueira; Rogério Campos-Rebelo; Dário Pedro; Luís Miguel Campos; José Manuel Fonseca; André Mora (Remote. Sens., 2019)

UAV Cloud Platform for Precision Farming. - Miguel Pino; João Pedro Matos-Carvalho; Dário Pedro; Luís Miguel Campos; João Costa Seco (CSNDSP, 2020)

Multi-purpose Low Latency Streaming Using Unmanned Aerial Vehicles. - Ricardo Sacoto-Martins; João Madeira; João Pedro Matos-Carvalho; Fábio Azevedo; Luís Miguel Campos (CSNDSP, 2020)

FFAU - Framework for Fully Autonomous UAVs. - Dário Pedro; João Pedro Matos-Carvalho; Fábio Azevedo; Ricardo Sacoto-Martins; Luís Bernardo; Luís Miguel Campos; José M. Fonseca 001; André Mora (Remote. Sens., 2020)

Flow Empirical Mode Decomposition. - Dário Pedro; Raul Tello Rato; João Pedro Matos-Carvalho; José Manuel Fonseca; André Mora (IntelliSys (3), 2021)

HEIFU - Hexa Exterior Intelligent Flying Unit. - Dário Pedro; Pedro Lousã; Álvaro Ramos; João Pedro Matos-Carvalho; Fábio Azevedo; Luís Miguel Campos (SAFECOMP Workshops, 2021)

Fabric Defect Detection With Deep Learning and False Negative Reduction. - Tomás Almeida; Filipe Moutinho; João Pedro Matos-Carvalho (IEEE Access, 2021)

GTRS-Based Algorithm for UAV Navigation in Indoor Environments Employing Range Measurements and Odometry. - João Pedro Matos-Carvalho; Ricardo Serras Santos; Slavisa Tomic; Marko Beko (IEEE Access, 2021)

Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques. - Dário Pedro; João Pedro Matos-Carvalho; José M. Fonseca 001; André Mora (Remote. Sens., 2021)

How to Build a 2D and 3D Aerial Multispectral Map? - All Steps Deeply Explained. - André Vong; João Pedro Matos-Carvalho; Piero Toffanin; Dário Pedro; Fábio Azevedo; Filipe Moutinho; Nuno Cruz Garcia; André Mora (Remote. Sens., 2021)

µJSON, a Lightweight Compression Scheme for Embedded GNSS Data Transmission on IoT Nodes. - Sérgio D. Correia 001; Rafael Perez; João Pedro Matos-Carvalho; Valderi R. Q. Leithardt (CIoT, 2022)

Open-Source Mapping Method Applied to Thermal Imagery. - André Vong; João Pedro Matos-Carvalho; Dário Pedro; Slavisa Tomic; Marko Beko; Fábio Azevedo; Sérgio D. Correia 001; André Mora (SAI (1), 2022)

Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images. - Shazia Sulemane; João Pedro Matos-Carvalho; Dário Pedro; Filipe Moutinho; Sérgio D. Correia 001 (Algorithms, 2022)

WLS algorithm for UAV navigation in satellite-less environments. - Ricardo Serras Santos; João Pedro Matos-Carvalho; Slavisa Tomic; Marko Beko (IET Wirel. Sens. Syst., 2022)

Particle Swarm Optimization Embedded in UAV as a Method of Territory-Monitoring Efficiency Improvement. - Iuliia Kim; João Pedro Matos-Carvalho; Ilya I. Viksnin; Tiago Simas; Sérgio Duarte Correia (Symmetry, 2022)

UAV-based Scenario Builder and Physical Testing platform for Autonomous Vehicles. - Adarsh Chilkunda; Sarah Nakama; Vikram Chilkunda; Dário Pedro; João Pedro Matos-Carvalho; Luís Miguel Campos (CIoT, 2023)

Sensitivity Analysis of LSTM Networks for Fall Detection Wearable Sensors. - João Pedro Matos-Carvalho; Sérgio D. Correia 001; Slavisa Tomic (CIoT, 2023)

A Hybrid LSTM-based Neural Network for Satellite-less UAV Navigation. - Ricardo Serras Santos; João Pedro Matos-Carvalho; Slavisa Tomic; Marko Beko; Sérgio D. Correia 001 (CIoT, 2023)

QiBERT - Classifying Online Conversations - Messages with BERT as a Feature. - Bruno D. Ferreira-Saraiva; Manuel Marques-Pita; João Pedro Matos-Carvalho; Zuil Pirola (DoCEIS, 2023)

Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers. - Brena Kelly Sousa Lima; João Pedro Matos-Carvalho; Rui Dinis 001; Daniel Benevides da Costa; Marko Beko; Rodolfo Oliveira (ISWCS, 2023)

Multispectral Indices for Wildfire Management. - Afonso Oliveira; João Pedro Matos-Carvalho; Filipe Moutinho; Nuno Fachada (CoRR, 2023)

Use of explicit replies as coordination mechanisms in online student debate. - Bruno D. Ferreira-Saraiva; João Pedro Matos-Carvalho; Manuel Pita (CoRR, 2023)

ParShift: a Python package to study order and differentiation in group conversations. - Bruno D. Ferreira-Saraiva; João Pedro Matos-Carvalho; Nuno Fachada; Manuel Marques-Pita (SoftwareX, 2023)

Empirical evaluation of multi UAV coverage path planning for aerial surveying. - Jamie Wubben; João Pedro Matos-Carvalho; Dário Pedro; Slavisa Tomic; Carlos T. Calafate (DCOSS-IoT, 2024)

Convolutional Neural Networks for Autonomous UAV Navigation in GPS-Denied Environments. - Ricardo Serras Santos; João Pedro Matos-Carvalho; Slavisa Tomic; Marko Beko; Carlos T. Calafate (DoCEIS, 2024)

Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection. - Sérgio D. Correia 001; João Pedro Matos-Carvalho; Slavisa Tomic (GoodIT, 2024)

A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks. - Slavisa Tomic; João Pedro Matos-Carvalho; Marko Beko (CoRR, 2024)

Text clustering with LLM embeddings. - Alina Petukhova; João Pedro Matos-Carvalho; Nuno Fachada (CoRR, 2024)

Data Science for Geographic Information Systems. - Afonso Oliveira; Nuno Fachada; João Pedro Matos-Carvalho (CoRR, 2024)

Raster Forge: Interactive raster manipulation library and GUI for Python. - Afonso Oliveira; Nuno Fachada; João Pedro Matos-Carvalho (Softw. Impacts, 2024)

AutoNAV: A Python package for simulating UAV navigation in satellite-less environments. - Ricardo Serras Santos; Nuno Fachada; João Pedro Matos-Carvalho; Slavisa Tomic; Marko Beko (SoftwareX, 2024)

Generic FPGA Pre-Processing Image Library for Industrial Vision Systems. - Diogo Ferreira; Filipe Moutinho; João Pedro Matos-Carvalho; Magno Guedes; Pedro Deusdado (Sensors, 2024)

LSTM-Based Trajectory and Phase-Shift Prediction for RSMA Networks Assisted by AIRS. - Brena Kelly Sousa Lima; João Pedro Matos-Carvalho; Rui Dinis 001; Daniel Benevides da Costa; Marko Beko; Rodolfo Oliveira (IEEE Trans. Commun., 2024)

Detection and Characterization of Plume-Dominated Wildfires. - Afonso Oliveira; Nuno Fachada; João Pedro Matos-Carvalho (DoCEIS, 2025)

Deep Learning Models for GNSS-Denied Target Navigation. - Ricardo Serras Santos; João Pedro Matos-Carvalho; Carlos T. Calafate; Sérgio D. Correira; Slavisa Tomic; Marko Beko; Pietro Manzoni (DoCEIS, 2025)

Neural Hierarchical Interpolation Time Series (NHITS) for Reservoir Level Multi-Horizon Forecasting in Hydroelectric Power Plants. - Stéfano Frizzo Stefenon; Laio Oriel Seman; Cristina Keiko Yamaguchi; Leandro dos Santos Coelho; Viviana Cocco Mariani; João Pedro Matos-Carvalho; Valderi Reis Quietinho Leithardt (IEEE Access, 2025)

Deep learning in time series forecasting with transformer models and RNNs. - Rogério Pereira Dos Santos; João Pedro Matos-Carvalho; Valderi R. Q. Leithardt (PeerJ Comput. Sci., 2025)

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 generate correct code for LoRaWAN-related engineering tasks. - Daniel Fernandes; João Pedro Matos-Carvalho; Carlos M. Fernandes 001; Nuno Fachada (CoRR, 2025)

Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators. - João Pedro Matos-Carvalho; Stéfano Frizzo Stefenon; Valderi Reis Quietinho Leithardt; Kin Choong Yow 001 (CoRR, 2025)

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries. - Nuno Fachada; Daniel Fernandes; Carlos M. Fernandes 001; Bruno D. Ferreira-Saraiva; João Pedro Matos-Carvalho (CoRR, 2025)