João Pedro Matos-Carvalho

57 papers B 1C 2Journal 33Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CNN-based wheat yield prediction using multi-source and multi-stage data integration from UAV imagery and sensors. Ecol. Informatics Süreyya Betül Rufaioglu, Ali Volkan Bilgili, Sibel Ipekesen, Amjed Mohamed Ismael, Yunus Kaya, João Pedro Matos-Carvalho
2026	J	`jnl`	Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study. CoRR Nuno Fachada, Daniel F. S. Fernandes, Carlos M. Fernandes, João Pedro Matos-Carvalho
2026	J	`jnl`	Hybrid Kalman Filter-Kolmogorov-Arnold Network Using Local Interpretable Model-Agnostic Explanations for Photovoltaic Power Forecasting. SN Comput. Sci. João Pedro Matos-Carvalho, Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Kin Choong Yow
2025	J	`jnl`	CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting. CoRR Stéfano Frizzo Stefenon, João Pedro Matos-Carvalho, Valderi R. Q. Leithardt, Kin Choong Yow
2025	—	`conf`	Deep Learning Models for GNSS-Denied Target Navigation. DoCEIS Ricardo Serras Santos, João Pedro Matos-Carvalho, Carlos T. Calafate, Sérgio D. Correira, Slavisa Tomic, Marko Beko, Pietro Manzoni
2025	J	`jnl`	Deep learning in time series forecasting with transformer models and RNNs. PeerJ Comput. Sci. Rogério Pereira Dos Santos, João Pedro Matos-Carvalho, Valderi R. Q. Leithardt
2025	J	`jnl`	DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 generate correct code for LoRaWAN-related engineering tasks. CoRR Daniel Fernandes, João Pedro Matos-Carvalho, Carlos M. Fernandes, Nuno Fachada
2025	—	`conf`	Detection and Characterization of Plume-Dominated Wildfires. DoCEIS Afonso Oliveira, Nuno Fachada, João Pedro Matos-Carvalho
2025	J	`jnl`	GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries. CoRR Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes, Bruno D. Ferreira-Saraiva, João Pedro Matos-Carvalho
2025	J	`jnl`	GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries. Future Internet Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes, Bruno D. Ferreira-Saraiva, João Pedro Matos-Carvalho
2025	J	`jnl`	Neural Hierarchical Interpolation Time Series (NHITS) for Reservoir Level Multi-Horizon Forecasting in Hydroelectric Power Plants. IEEE Access Stéfano Frizzo Stefenon, Laio Oriel Seman, Cristina Keiko Yamaguchi, Leandro dos Santos Coelho, Viviana Cocco Mariani, João Pedro Matos-Carvalho, Valderi Reis Quietinho Leithardt
2025	J	`jnl`	Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators. CoRR João Pedro Matos-Carvalho, Stéfano Frizzo Stefenon, Valderi Reis Quietinho Leithardt, Kin Choong Yow
2024	J	`jnl`	A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks. CoRR Slavisa Tomic, João Pedro Matos-Carvalho, Marko Beko
2024	J	`jnl`	AutoNAV: A Python package for simulating UAV navigation in satellite-less environments. SoftwareX Ricardo Serras Santos, Nuno Fachada, João Pedro Matos-Carvalho, Slavisa Tomic, Marko Beko
2024	—	`conf`	Convolutional Neural Networks for Autonomous UAV Navigation in GPS-Denied Environments. DoCEIS Ricardo Serras Santos, João Pedro Matos-Carvalho, Slavisa Tomic, Marko Beko, Carlos T. Calafate
2024	J	`jnl`	Data Science for Geographic Information Systems. CoRR Afonso Oliveira, Nuno Fachada, João Pedro Matos-Carvalho
2024	—	`conf`	Empirical evaluation of multi UAV coverage path planning for aerial surveying. DCOSS-IoT Jamie Wubben, João Pedro Matos-Carvalho, Dário Pedro, Slavisa Tomic, Carlos T. Calafate
2024	J	`jnl`	Generic FPGA Pre-Processing Image Library for Industrial Vision Systems. Sensors Diogo Ferreira, Filipe Moutinho, João Pedro Matos-Carvalho, Magno Guedes, Pedro Deusdado
2024	J	`jnl`	LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors. Symmetry Sérgio D. Correia, Pedro M. Roque, João Pedro Matos-Carvalho
2024	J	`jnl`	LSTM-Based Trajectory and Phase-Shift Prediction for RSMA Networks Assisted by AIRS. IEEE Trans. Commun. Brena Kelly Sousa Lima, João Pedro Matos-Carvalho, Rui Dinis, Daniel Benevides da Costa, Marko Beko, Rodolfo Oliveira
2024	J	`jnl`	QiBERT - Classifying Online Conversations Messages with BERT as a Feature. CoRR Bruno D. Ferreira-Saraiva, Zuil Pirola, João Pedro Matos-Carvalho, Manuel Marques-Pita
2024	—	`conf`	Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection. GoodIT Sérgio D. Correia, João Pedro Matos-Carvalho, Slavisa Tomic
2024	J	`jnl`	Raster Forge: Interactive Raster Manipulation Library and GUI for Python. CoRR Afonso Oliveira, Nuno Fachada, João Pedro Matos-Carvalho
2024	J	`jnl`	Raster Forge: Interactive raster manipulation library and GUI for Python. Softw. Impacts Afonso Oliveira, Nuno Fachada, João Pedro Matos-Carvalho
2024	J	`jnl`	Text clustering with LLM embeddings. CoRR Alina Petukhova, João Pedro Matos-Carvalho, Nuno Fachada
2023	—	`conf`	A Hybrid LSTM-based Neural Network for Satellite-less UAV Navigation. CIoT Ricardo Serras Santos, João Pedro Matos-Carvalho, Slavisa Tomic, Marko Beko, Sérgio D. Correia
2023	J	`jnl`	Multispectral Indices for Wildfire Management. CoRR Afonso Oliveira, João Pedro Matos-Carvalho, Filipe Moutinho, Nuno Fachada
2023	J	`jnl`	ParShift: a Python package to study order and differentiation in group conversations. SoftwareX Bruno D. Ferreira-Saraiva, João Pedro Matos-Carvalho, Nuno Fachada, Manuel Marques-Pita
2023	—	`conf`	QiBERT - Classifying Online Conversations - Messages with BERT as a Feature. DoCEIS Bruno D. Ferreira-Saraiva, Manuel Marques-Pita, João Pedro Matos-Carvalho, Zuil Pirola
2023	—	`conf`	Sensitivity Analysis of LSTM Networks for Fall Detection Wearable Sensors. CIoT João Pedro Matos-Carvalho, Sérgio D. Correia, Slavisa Tomic
2023	—	`conf`	Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers. ISWCS Brena Kelly Sousa Lima, João Pedro Matos-Carvalho, Rui Dinis, Daniel Benevides da Costa, Marko Beko, Rodolfo Oliveira
2023	—	`conf`	UAV-based Scenario Builder and Physical Testing platform for Autonomous Vehicles. CIoT Adarsh Chilkunda, Sarah Nakama, Vikram Chilkunda, Dário Pedro, João Pedro Matos-Carvalho, Luís Miguel Campos
2023	J	`jnl`	Use of explicit replies as coordination mechanisms in online student debate. CoRR Bruno D. Ferreira-Saraiva, João Pedro Matos-Carvalho, Manuel Pita
2022	—	`conf`	Open-Source Mapping Method Applied to Thermal Imagery. SAI (1) André Vong, João Pedro Matos-Carvalho, Dário Pedro, Slavisa Tomic, Marko Beko, Fábio Azevedo, Sérgio D. Correia, André Mora
2022	J	`jnl`	Particle Swarm Optimization Embedded in UAV as a Method of Territory-Monitoring Efficiency Improvement. Symmetry Iuliia Kim, João Pedro Matos-Carvalho, Ilya I. Viksnin, Tiago Simas, Sérgio Duarte Correia
2022	J	`jnl`	Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images. Algorithms Shazia Sulemane, João Pedro Matos-Carvalho, Dário Pedro, Filipe Moutinho, Sérgio D. Correia
2022	J	`jnl`	WLS algorithm for UAV navigation in satellite-less environments. IET Wirel. Sens. Syst. Ricardo Serras Santos, João Pedro Matos-Carvalho, Slavisa Tomic, Marko Beko
2022	—	`conf`	µJSON, a Lightweight Compression Scheme for Embedded GNSS Data Transmission on IoT Nodes. CIoT Sérgio D. Correia, Rafael Perez, João Pedro Matos-Carvalho, Valderi R. Q. Leithardt
2021	J	`jnl`	Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques. Remote. Sens. Dário Pedro, João Pedro Matos-Carvalho, José M. Fonseca, André Mora
2021	J	`jnl`	Fabric Defect Detection With Deep Learning and False Negative Reduction. IEEE Access Tomás Almeida, Filipe Moutinho, João Pedro Matos-Carvalho
2021	—	`conf`	Flow Empirical Mode Decomposition. IntelliSys (3) Dário Pedro, Raul Tello Rato, João Pedro Matos-Carvalho, José Manuel Fonseca, André Mora
2021	J	`jnl`	GTRS-Based Algorithm for UAV Navigation in Indoor Environments Employing Range Measurements and Odometry. IEEE Access João Pedro Matos-Carvalho, Ricardo Serras Santos, Slavisa Tomic, Marko Beko
2021	—	`conf`	HEIFU - Hexa Exterior Intelligent Flying Unit. SAFECOMP Workshops Dário Pedro, Pedro Lousã, Álvaro Ramos, João Pedro Matos-Carvalho, Fábio Azevedo, Luís Miguel Campos
2021	J	`jnl`	How to Build a 2D and 3D Aerial Multispectral Map? - All Steps Deeply Explained. Remote. Sens. André Vong, João Pedro Matos-Carvalho, Piero Toffanin, Dário Pedro, Fábio Azevedo, Filipe Moutinho, Nuno Cruz Garcia, André Mora
2020	J	`jnl`	FFAU - Framework for Fully Autonomous UAVs. Remote. Sens. Dário Pedro, João Pedro Matos-Carvalho, Fábio Azevedo, Ricardo Sacoto-Martins, Luís Bernardo, Luís Miguel Campos, José M. Fonseca, André Mora
2020	—	`—`	Improved terrain type classification using UAV downwash dynamic texture effect. João Pedro Matos-Carvalho
2020	—	`conf`	Multi-purpose Low Latency Streaming Using Unmanned Aerial Vehicles. CSNDSP Ricardo Sacoto-Martins, João Madeira, João Pedro Matos-Carvalho, Fábio Azevedo, Luís Miguel Campos
2020	—	`conf`	UAV Cloud Platform for Precision Farming. CSNDSP Miguel Pino, João Pedro Matos-Carvalho, Dário Pedro, Luís Miguel Campos, João Costa Seco
2019	—	`conf`	Semantic Navigation Mapping from Aerial Multispectral Imagery. ISIE Ana Beatriz Salvado, Ricardo Mendonça, André Lourenço, Francisco Marques, João Pedro Matos-Carvalho, Luís Miguel Campos, José Barata
2019	J	`jnl`	Static and Dynamic Algorithms for Terrain Classification in UAV Aerial Imagery. Remote. Sens. João Pedro Matos-Carvalho, Filipe Moutinho, Ana Beatriz Salvado, Tiago Carrasqueira, Rogério Campos-Rebelo, Dário Pedro, Luís Miguel Campos, José Manuel Fonseca, André Mora
2019	J	`jnl`	Terrain Classification Using Static and Dynamic Texture Features by UAV Downwash Effect. J. Autom. Mob. Robotics Intell. Syst. João Pedro Matos-Carvalho, José Manuel Fonseca, André Damas Mora
2019	—	`conf`	Terrain Classification Using W-K Filter and 3D Navigation with Static Collision Avoidance. IntelliSys (2) João Pedro Matos-Carvalho, Dário Pedro, Luís Miguel Campos, José Manuel Fonseca, André Mora
2019	—	`conf`	UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters. DoCEIS João Pedro Matos-Carvalho, André Mora, Raul Tello Rato, Ricardo Mendonça, José M. Fonseca
2019	B	`conf`	Use of Particle Swarm Optimization in Terrain Classification based on UAV Downwash. CEC Iuliia Kim, João Pedro Matos-Carvalho, Ilya I. Viksnin, Luís Miguel Campos, José Manuel Fonseca, André Mora, Sergey Chuprov
2018	C	`conf`	GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing. INDIN Ricardo Silva Peres, André Dionísio Rocha, João Pedro Matos-Carvalho, José Barata
2018	C	`conf`	UAV downwash dynamic texture features for terrain classification on autonomous navigation. FedCSIS João Pedro Matos-Carvalho, José Manuel Fonseca, André Damas Mora
2018	—	`conf`	Vision-based UAV detection and tracking using motion signatures. ICPS Pedro Alexandre Prates, Ricardo Mendonça, André Lourenço, Francisco Marques, João Pedro Matos-Carvalho, José Barata