1 citations · 1 across the 2 of their papers we have counts for
10 papers
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…
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…
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…
Structural Tree Extraction from 3D Surfaces
Diogo de Andrade, Nuno Fachada
This paper introduces a method to extract a hierarchical tree representation from 3D unorganized polygonal data. The proposed approach first extracts a graph representation of the…
Generating 3D Terrain with 2D Cellular Automata
Nuno Fachada, António R. Rodrigues, Diogo de Andrade +1
This paper explores the use of 2D cellular automata (CA) to generate 3D terrains through a simple additive approach. Experimenting with multiple CA transition rules produced aesthe…
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…