DOI 10.14209/sbrt.2026.1571299609
André Paiva Conrado Rodrigues, Antonio Carlos Lopes Fernandes Junior, Paulo Farias, Eduardo Simas Filho, Edmar Egidio Purcino de Souza, Mateus H. M. Faria, Luciano M. Andrade Filho, Bertrand Laforge
Calorimeters with fine sensor segmentation used in High Energy Physics experiments suffer from mutual interference due to electromagnetic coupling between neighboring sensor cells. Crosstalk affects the characterization and measurement of incident particle properties, like energy and time of flight, degrading the quality of event reconstruction. This...
Convolutional Neural NetworksCalorimetryHigh Energy PhysicsCrosstalk
DOI 10.14209/sbrt.2026.1571299615
Rafael Fogarolli Vieira, André Jordan Santos, Albert E. C. Santos, Reyso Cunha Teixeira, Carlos Eduardo Vitelli da Silva, Andre Mendes Cavalcante, Joao Weyl Costa, Diego L Cardoso
A crescente densidade de usuários em redes 5G impõe desafios significativos para a alocação eficiente de recursos em sistemas sem fio. Nesse contexto, arquiteturas Cell-Free Massive MIMO (CF-mMIMO) combinadas com Rate-Splitting Multiple Access (RSMA) surgem como uma solução promissora para mitigar interferências e melhorar a eficiência espectral. No...
DOI 10.14209/sbrt.2026.1571299753
João Victor Morgado, Virgílio M Langoni, Carlos R. N. da Silva
This paper employs the NIH ChestX-ray14 dataset to compare the VGG16 and InceptionV3 architectures for multi-label chest X-ray classification. The impact of CLAHE-based contrast enhancement on convolutional neural network performance is investigated. Transfer learning was applied using ImageNet-pretrained weights. ROC curves and AUC metrics were used to...
Deep LearningChest X-ray classificationVGG16InceptionV3
DOI 10.14209/sbrt.2026.1571299754
Gabriel Andrade De Santana, Gabriel Silva Simao, João Vítor Macedo De Melo Moreira, Daniel dos Santos Gomes, Paulo Silva
Este trabalho apresenta uma abordagem interdisciplinar para o ensino de sistemas lineares e invariantes no tempo (LTI), utilizando o filtro RC passa-baixa como elemento integrador entre Circuitos Elétricos, Sinais e Sistemas e Cálculo Numérico. A proposta articula representações nos domínios do tempo e da frequência, incluindo modelagem por equações...
Ensino de sistemas LTIfiltro RC passa-baixaanálise de circuitossérie de Fourier
DOI 10.14209/sbrt.2026.1571299759
Caio Missfeld Carlos, Leonardo Cesar Cândido De Bitencourt, Walter Gontijo, Eduardo L. O. Batista, Richard Demo Souza
Neste trabalho, é apresentado um sistema de monitoramento acústico florestal em tempo real que utiliza aprendizado de máquina no próprio dispositivo para detecção de eventos. A solução tem como base o uso da arquitetura do YAMNet como extrator de características para gerar um modelo refinado que classifica sons críticos como "motosserra", "motor" e...
Monitoramento AcústicoAprendizado de MáquinaComputação de BordaLoRaWAN
DOI 10.14209/sbrt.2026.1571299762
Isaac Andrés Balbuca Guachizaca, Paulo Cardieri
We investigate the remote tracking of a Markovian source in an energy-harvesting wireless system within the goal-oriented communication framework. We propose a Predictive transmission policy that exploits the source dynamics to suppress redundant updates while preserving energy for correcting persistent errors. The proposed policy employs prediction at...
Goal-oriented communicationEnergy harvestingPredictionRemote tracking
DOI 10.14209/sbrt.2026.1571299767
Kauan Miranda Tavares, Ana Clara Dantas Bahia, Cleverson Veloso Nahum, Lucas Queiroz Costa, João Gabriel De Noronha Melter Fleury, Mariana Gonçalves Ribeiro, Cristiano Bonato Both, Glauco Estácio Gonçalves, Aldebaro Klautau, Silvia Lins, Andrey Silva
Fifth Generation (5G) Networks research requires high-fidelity testbeds that balance the scalability of emulation with the realism of bare-metal setups. This paper introduces Ygarapé, a cloud-native architecture solution for transport network emulation that integrates Mininet into Kubernetes. Using an automated interface-hijacking and a Representational...
TestbedTransport Networks5G Network Functions.
DOI 10.14209/sbrt.2026.1571299771
João Pedro Flausino de Lima, Luccas Torres de Fontes, Kai De Andrade Lima, Josinaldo Santos Azevedo, Dimas Irion Alves, Paulo Ricardo Branco da Silva, Renato Machado, Sarah Negreiros De Carvalho Leite
This work proposes a framework integrating technical network indicators from Brazil's Telecommunications Service Quality Regulation with consumer complaints filed at the national regulatory agency for Mobile Service (2022-2025). Complaint rates per thousand subscribers are spatially smoothed using Empirical Bayes estimation and associated with eight...
Quality RegulationConsumer ComplaintsMobile ServiceRQUAL
DOI 10.14209/sbrt.2026.1571299776
Bruno Faus Salussolia, Vitória Jacomelli Baratella, Caio Tácito Borges da Costa, Danilo Spadoti
This paper presents the design and experimental evaluation of a low-cost LoRa-based temperature monitoring system deployed in an operational indoor environment. Each node consists of a waterproof enclosure coupled to an NTC 10 kΩ sensor, transmitting readings every 10 minutes with a 2-year battery lifetime. LoRa link performance was evaluated in a 444 m²...
LoRatemperature monitoringindoor propagationInternet of Things
DOI 10.14209/sbrt.2026.1571299792
Roger Metz Meira, André A. Mariano, Arthur Liraneto Torres Costa
This work presents the design and comparative analysis of two 90º hybrids for phase-shift applications on OFDM signal processing in the context of 5G NR systems operating at 900 MHz (Band n8). Both designs were validated by electrical simulation and measurements that show two main conclusions: the low-cost (FR4) and the high precision (RO4003C)...
phase-shifter5GNRhybrid couplerOFDM