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Analysing Fire Propagation Models

Martins, Leonardo; Almeida, Rui Valente de; Maia, António; Vieira, Pedro

Funding Information: This research has been supported by project PRR New Space Portugal, funded by the European Union (NextGenerationEU). Ref: 02/C05-i01.01/2022.PC644936537-00000046. Publisher Copyright: © 2025 by the authors.; With increasing wildfire severity and duration driven by climate change, accurately predicting fire behavior over extended time frames is critical for effective management and mitigatio...


Real-Time Integration of Segmentation Techniques for Reduction of False Positiv...

Martins, Leonardo; Guede-Fernández, Federico; de Almeida, Rui Valente; Gamboa, Hugo; Vieira, Pedro

POCI-01-0247-FEDER-038342; Governmental offices are still highly concerned with controlling the escalation of forest fires due to their social, environmental and economic consequences. This paper presents new developments to a previously implemented system for the classification of smoke columns with object detection and a deep learning-based approach. The study focuses on identifying and correcting several Fal...


Data fusion approach for eucalyptus trees identification

Oliveira, Diogo; Martins, Leonardo; Mora, André; Damásio, Carlos; Caetano, Mário; Fonseca, José; Ribeiro, Rita A.

UIDB/00066/2020 DSAIPA/AI/0100/2018; Remote sensing is based on the extraction of data, acquired by satellites or aircrafts, through multispectral images, that allow their remote analysis and classification. Analysing those images with data fusion techniques is a promising approach for identification and classification of forest types. Fusion techniques can aggregate various sources of heterogeneous information...


A deep learning based object identification system for forest fire detection

Guede-Fernández, Federico; Martins, Leonardo; de Almeida, Rui Valente; Gamboa, Hugo; Vieira, Pedro

POCI-01-0247-FEDER-038342; Forest fires are still a large concern in several countries due to the social, environmental and economic damages caused. This paper aims to show the design and validation of a proposed system for the classification of smoke columns with object detection and a deep learning-based approach. This approach is able to detect smoke columns visible below or above the horizon. During the dat...


Application of artificial intelligence algorithms to estimate the success rate ...

Guimarães, Beatriz Cartaxo Brás de Vasconcellos; Martins, Leonardo; Metello, José Luís; Luís-Ferreira, Fernando; Ferreira, Pedro; Fonseca, José Manuel

This work is funded in part by the Portuguese “Fundação para a Ciência e a Tecnologia” (FCT) in the context of the Centre of Technology and Systems CTS/UNINOVA/FCT/NOVA, reference UIDB/00066/2020.; The aim of this study was to build an Artificial Neural Network (ANN) complemented by a decision tree to predict the chance of live birth after an In Vitro Fertilization (IVF)/Intracytoplasmic Sperm Injection (ICSI) ...


Measurement of gamma-ray production cross sections for nuclear reaction 31P(p,p...

Silva, Hugo; Santos, Catarina; Fonseca, Micaela; Luís, H.; Martins, Leonardo; Manteigas, Vasco; Cruz, João; Jesus, Adelaide P.

In order to implement a standard free PIGE analysis of phosphorus, the cross section of the reaction 31P(p,pγ1-0)31P, γ1-0=1266.1keV was measured for the proton energy range 2.6–4 MeV, with energy steps ranging from 1 keV on resonances to 10 keV off resonance. This data provides additional information in relation to previous works on this reaction, as a more detailed and extended (in energy) measurement was mad...


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