54 citations · 88 across the 13 of their papers we have counts for
14 papers
Multi-Tool Selection for Robotic Systems: Comparing Semantic Retrieval and LLM
Miguel Sousa, Luis Ramos Pinto, João P. Matos-Carvalho
Natural-language interfaces allow users to command robotic systems without interacting directly with mission planners or robotics middleware. Their reliable use depends on robot to…
A novel YOLO26-MoE optimized by an LLM agent for insulator fault detection considering UAV images
João Pedro Matos-Carvalho, Laio Oriel Seman, Stefano Frizzo Stefenon +2
The inspection of electrical power line insulators is essential for ensuring grid reliability and preventing failures caused by damaged or degraded insulation components. In recent…
Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes +1
Large language models (LLMs) can now synthesize non-trivial executable code from textual descriptions, raising an important question: can LLMs reliably implement agent-based models…
CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting
Stefano F. Stefenon, João P. Matos-Carvalho, Valderi R. Q. Leithardt +1
Convolutional neural networks (CNNs) and transformer architectures offer strengths for modeling temporal data: CNNs excel at capturing local patterns and translational invariances,…
GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries
Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes +2
Large Language Models (LLMs) have advanced rapidly as tools for automating code generation in scientific research, yet their ability to interpret and use unfamiliar Python APIs for…
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
João Pedro Matos-Carvalho, Stefano Frizzo Stefenon, Valderi Reis Quietinho Leithardt +1
Surface contamination on electrical grid insulators leads to an increase in leakage current until an electrical discharge occurs, which can result in a power system shutdown. To mi…
DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 generate correct code for LoRaWAN-related engineering tasks
Daniel Fernandes, João P. Matos-Carvalho, Carlos M. Fernandes +1
This paper investigates the performance of 16 Large Language Models (LLMs) in automating LoRaWAN-related engineering tasks involving optimal placement of drones and received power…
QiBERT -- Classifying Online Conversations Messages with BERT as a Feature
Bruno D. Ferreira-Saraiva, Zuil Pirola, João P. Matos-Carvalho +1
Recent developments in online communication and their usage in everyday life have caused an explosion in the amount of a new genre of text data, short text. Thus, the need to class…
Raster Forge: Interactive Raster Manipulation Library and GUI for Python
Afonso Oliveira, Nuno Fachada, João P. Matos-Carvalho
Raster Forge is a Python library and graphical user interface for raster data manipulation and analysis. The tool is focused on remote sensing applications, particularly in wildfir…
Data Science for Geographic Information Systems
Afonso Oliveira, Nuno Fachada, João P. Matos-Carvalho
The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of mac…
Text Clustering with Large Language Model Embeddings
Alina Petukhova, João P. Matos-Carvalho, Nuno Fachada
Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data. Th…
A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
Slavisa Tomic, João Pedro Matos-Carvalho, Marko Beko
This work addresses weight optimization problem for fully-connected feed-forward neural networks. Unlike existing approaches that are based on back-propagation (BP) and chain rule…
Use of explicit replies as coordination mechanisms in online student debate
Bruno D. Ferreira-Saraiva, Joao P. Matos-Carvalho, Manuel Pita
People in conversation entrain their linguistic behaviours through spontaneous alignment mechanisms [7] - both in face-to-face and computer-mediated communication (CMC) [8]. In CMC…
Multispectral Indices for Wildfire Management
Afonso Oliveira, João P. Matos-Carvalho, Filipe Moutinho +1
The increasing frequency and severity of wildfires necessitates advanced methods for effective surveillance and management, as traditional ground-based techniques often struggle to…