2024

Internacionais

  • TRINDADE, S.; BITTENCOURT, L. F.; da Fonseca, N. L. S. Management of Resource at the Network Edge for Federated Learning. Digital Communications And Networks, v. 10, p. 765–782, 2024.
  • da SILVA, R. A. C.; da Fonseca, Nelson L. S. The Fog Node Location Problem. CLEI ELECTRONIC JOURNAL, v. 27, p. 2:1–2:13, 2024.
  • X. Yan, N. L. S. da Fonseca and Z. Zhu, “Self-Adaptive SRv6-INT-Driven System Adjustment in Runtime for Reliable Service Function Chaining,” in IEEE Transactions on Network and Service Management,  v. 21, p. 4962-4973, 2024.
  • MA, Z. ; LI, T. ; XU, Z. ; da Fonseca, Nelson L. S. ; ZHU, Z. . SFCache: Hybrid NF Synthesization in Runtime with Rule-Caching in Programmable Switches. IEEE Transactions on Network and Service Management, Volume: 21, Issue: 4, pp. 4613 – 4624, 2024.
  • TRINDADE, S.; da Fonseca, Nelson L. S. Client Selection in Hierarchical Federated Learning. IEEE Internet of Things Journal, v. 11, p. 28480–28495, 2024.
  • DADAUTO, CAIO V.; da Fonseca, Nelson L. S.; TORRES, RICARDO DA S. Data-Driven Intra-Autonomous Systems Graph Generator. IEEE Transactions on Network and Service Management, v. 21, p. 5491–5504, 2024.
  • BARROS, PEDRO H.; GUEVARA, JUDY C.; VILLAS, LEANDRO; GUIDONI, DANIEL; FONSECA, NELSON L. S. DA; RAMOS, HEITOR S. A Novel Federated Meta-Learning Approach for Discriminating Sedentary Behavior From Wearable Data. IEEE Internet of Things Journal, v. 11, p. 31909–31916, 2024.
  • SOUZA, A. M.; ROBERTO, F. M.; COSTA, J. B. D.; BITTENCOURT, L. F.; CERQUEIRA, E. C.; LOUREIRO, ANTONIO A.; VILLAS, L. A. Adaptive client selection with personalization for communication efficient Federated Learning. Ad Hoc Networks, v. 157, p. 103462, 2024.
  • LIEIRA, DOUGLAS D.; QUESSADA, MATHEUS S.; SAMPAIO, SANDRA; Loureiro, Antonio A. F.; MENEGUETTE, RODOLFO I. An Evaluation of Bio-Inspired Resource Allocation Methods for Vehicular Edge Computing. IEEE COMMUNICATIONS MAGAZINE, v. 62, p. 120–126, 2024.
  • CARDOSO-PEREIRA, Isadora; BORGES, João B.; VIANA, Aline C.; LOUREIRO, Antonio A. F.; RAMOS, Heitor S. POPAyI: Muscling Ordinal Patterns for Low-Complex and Usability-Aware Transportation Mode Detection. IEEE Internet of Things Journal, v. 11, p. 17170–17183, 2024.
  • MOURA, Douglas L. L.; AQUINO, Andre L. L.; LOUREIRO, Antonio A. F. An edge computing and distributed ledger technology architecture for secure and efficient transportation. Ad Hoc Networks, v. 164, p. 103633, 2024.
  • BRITO, MATHEUS; SANTOS, CAMILO; MARTINS, BRUNO S.; MEDEIROS, IAGO; SERUFFO, MARCOS; Cerqueira, Eduardo; ROSÁRIO, DENIS. Context-aware multi-modal route selection service for urban computing scenarios. Ad Hoc Networks, v. 161, p. 103525, 2024.
  • PACHECO, LUCAS; BRAUN, TORSTEN; ROSÁRIO, DENIS; DI MAIO, ANTONIO; Cerqueira, Eduardo. A Distributed Aggregation Approach for Vehicular Federated Learning. IEEE Access, v. 12, p. 72155–72169, 2024.
  • SILVA, ANTONIO; Mendes, Paulo; ROSARIO, D.; CERQUEIRA, E. C.; DA COSTA, JOAO PAULO J.; Edison Pignaton De Freitas. A distributed computing model based on delegation of serverless microservices in a cloud-to-thing environment. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 15, p. 1, 2024.
  • VEIGA, RAFAEL; SOUSA, JOHN; MORAIS, RENAN; BASTOS, LUCAS; LOBATO, WELLINGTON; ROSÁRIO, DENIS; Cerqueira, Eduardo. A Robust Client Selection Mechanism for Federated Learning Environments. JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY (ONLINE), v. 30, p. 444–455, 2024.
  • SILVA, ANTONIO; Mendes, Paulo; Cerqueira, Eduardo; ROSÁRIO, DENIS; Edison Pignaton De Freitas. Airborne fog computing framework: instant primers and design choices. ITU Journal on Future and Evolving Technologies, v. 5, p. 368–382, 2024.
  • MACIEL, FILIPE; DE SOUZA, ALLAN M.; BITTENCOURT, LUIZ F.; Villas, Leandro A.; BRAUN, TORSTEN. Federated learning energy saving through client selection. Pervasive and Mobile Computing, v. 103, p. 101948, 2024.
  • CAMILO, GUSTAVO F.; REBELLO, GABRIEL ANTONIO F.; DE SOUZA, LUCAS AIRAM C.; Campista, Miguel Elias M.; COSTA, LUÍS HENRIQUE M. K. ProfitPilot: Enabling Rebalancing in Payment Channel Networks Through Profitable Cycle Creation. IEEE Transactions on Network and Service Management, v. 1, p. 1–1, 2024.
  • Couto, Rodrigo S.; CRUZ, PEDRO; PACHECO, ROBERTO G.; SOUZA, VIVIAN MARIA S.; Campista, Miguel Elias M.; Costa, Luís Henrique M. K. A survey of public datasets for O-RAN: fostering the development of machine learning models. Annals of Telecommunications, v. 79, p. 1–14, 2024.
  • DE SOUZA, LUCAS AIRAM C.; CAMILO, GUSTAVO F.; REBELLO, GABRIEL A. FONTES; SAMMARCO, M.; CAMPISTA, M. E. M.; COSTA, LUÍS HENRIQUE M. K. ATHENA-FL: Avoiding Statistical Heterogeneity with One-versus-All in Federated Learning. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 15, p. 273–288, 2024.
  • TAJBAKHSH, HESAM; PARIZOTTO, RICARDO; Schaeffer-Filho, Alberto; HAQUE, ISRAAT. P4Hauler: An Accelerator-Aware In-Network Load Balancer for Applications Performance Boosting. IEEE TRANSACTIONS ON CLOUD COMPUTING, v. 12, p. 697–711, 2024.
  • CARDOSO NUNES, DIEGO; LOUREIRO COELHO, BRUNO; PARIZOTTO, RICARDO; EGON SCHAEFFER’FILHO, ALBERTO. No Worker Left (Too Far) Behind: Dynamic Hybrid Synchronization for In-Network ML Aggregation. International Journal of Network Management, v. -, p. 1, 2024.
  • PARIZOTTO, RICARDO; COELHO, BRUNO LOUREIRO; NUNES, DIEGO CARDOSO; HAQUE, ISRAAT; Schaeffer-Filho, Alberto. Offloading Machine Learning to Programmable Data Planes: A Systematic Survey. ACM COMPUTING SURVEYS, v. 56, p. 1–34, 2024.
  • ARAUJO, M. C.; BITTENCOURT, L. F. CMFogV: Proactive content migration for multi-level fog computing. Pervasive and Mobile Computing, v. 102, p. 101933, 2024.
  • FALCAO, I. W. S.; SANTOS, A. E. C.; LEIT, K. T. F.; CARDOSO, D. L.; PAIXAO; CARNEIRO, S. R.; SERUFFO, MARCOS CÉSAR DA ROCHA. Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques. PEERJ COMPUTER SCIENCE, v. 10, p. e2246, 2024.
  • SILVA, ANDREIA FERREIRA DA; FIGUEIREDO, KARLA; FALCÃO, IGOR W. S.; COSTA, FERNANDO A. R.; DA ROCHA SERUFFO, MARCOS CÉSAR; DE MORAES, CARLA CRISTINA GUIMARÃES. Study of machine learning techniques for outcome assessment of leptospirosis patients. Scientific Reports, v. 14, p. 13929–139339, 2024.
  • GILBERT, MATEUS S.; DE CAMPOS, MARCELLO L. R.; Campista, Miguel Elias M. Asymmetric Autoencoders: An NN alternative for resource-constrained devices in IoT networks. Ad Hoc Networks, v. 156, p. 103412, 2024.
  • Gantert, Luana; ZEFFIRO, TREVOR; SAMMARCO, MATTEO; Campista, Miguel Elias M. Multiclass classification of faulty industrial machinery using sound samples. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 136, p. 108943, 2024.
  • AFONSO, EDVAR; CAMPISTA, MIGUEL ELIAS M. Opportunistic data gathering in IoT networks using an energy-efficient data aggregation mechanism. Annals of Telecommunications, v. 1, p. 1–13, 2024.
  • CAMILO, GUSTAVO F.; REBELLO, GABRIEL ANTONIO F.; DE SOUZA, LUCAS AIRAM C.; Campista, Miguel Elias M.; Costa, Luís Henrique M. K. ProfitPilot: Enabling Rebalancing in Payment Channel Networks Through Profitable Cycle Creation. IEEE Transactions on Network and Service Management, v. 21, p. 3167–3178, 2024.
  • DE SOUZA, LUCAS AIRAM C.; CAMILO, G. F.; REBELLO, GABRIEL ANTONIO F.; SAMMARCO, M.; Campista, M. E. M.; Costa, Luís Henrique M. K. ATHENA-FL: Avoiding Statistical Heterogeneity with One-versus-All in Federated Learning. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 15, p. 273, 2024.
  • DIAS SOBRINHO, J. V.; Campista, M. E. M. Representation error reduction in compressive sensing using generative models with pivotal tuning. ITU Journal on Future and Evolving Technologies (ITU J-FET), v. 5, p. 310–320, 2024.
  • FRANCO, MURIEL F.; KUFFER, FABIAN; VON DER ASSEN, J.; FENG, C.; STILLER, B. RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports. COMPUTERS & SECURITY, v. 1, p. 103737, 2024.
  • PACHECO, R. G.; OLIVEIRA, F. D. V. R.; COUTO, R. S. Early exit deep neural networks for distorted images on edge environments. ITU Journal on Future and Evolving Technologies, v. 5, p. 344–355, 2024.
  • RAHMATH P, HASEENA; SRIVASTAVA, VISHAL; CHAURASIA, KULDEEP; PACHECO, ROBERTO G.; COUTO, RODRIGO S. Early-Exit Deep Neural Network – A Comprehensive Survey. ACM COMPUTING SURVEYS, v. 57, p. 1–37, 2024.
  • PAIM, KAYUÃ OLEQUES; QUINCOZES, VAGNER ERENO; KREUTZ, Diego; MANSILHA, Rodrigo Brandão; CORDEIRO, WEVERTON. Regenerating Networked Systems’ Monitoring Traces Using Neural Networks. Journal of Network and Systems Management, v. 32, p. 1–29, 2024.
  • PAIM, KAYUÃ OLEQUES; ROHWEDER, Ricardo; RECAMONDE-MENDOZA, Mariana; MANSILHA, Rodrigo Brandão; CORDEIRO, WEVERTON. Acoustic identification of Ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks. Biomedical Signal Processing and Control, v. 95, p. 106342, 2024.
  • GOMES, W. L. P.; SERUFFO, MARCOS CÉSAR DA ROCHA; SILVEIRA, A. S. Proposal of a multi-criteria decision-making model for the implementation of a supervisory system for industry 4.0. INTERNATIONAL JOURNAL OF MANAGEMENT AND DECISION MAKING, v. 1, p. 1–10, 2024.
  • RAMOS, A. J. A.; SERUFFO, MARCOS CÉSAR DA ROCHA; OLIVEIRA, R. C. L. TOPSIS method applied to the choice of the ideal object detection algorithm for an educational mobile application. INTERNATIONAL JOURNAL OF MANAGEMENT AND DECISION MAKING, v. 1, p. 1–10, 2024.
  • Santos, A. B.; VEIGA, R.; MORAIS, R.; Rosário, D.; CERQUEIRA, E. MESFLA: Model Efficiency through Selective Federated Learning Algorithm. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 15, p. 495–507, 2024.
  • BARBON, RAFAEL S.; MADEIRA, EDMUNDO R. M.; AKABANE, ADEMAR T. A two-context-aware approach for navigation: A case study for vehicular route recommendation. Ad Hoc Networks, v. 166, p. 103655, 2025.
  • VIEIRA, CRISTIANO COSTA ARGEMON; Bittencourt, Luiz Fernando; GENEZ, Thiago Augusto Lopes; PEIXOTO, Maycon Leone M.; MADEIRA, EDMUNDO ROBERTO MAURO. RAaaS: Resource Allocation as a Service in multiple cloud providers. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 221, p. 103790, 2024.
  • GONÇALVES, DIOGO M.; BITTENCOURT, LUIZ F.; MADEIRA, EDMUNDO R. M. Overhead and Performance of Dynamic Network Slice Allocation for Mobile Users. Future Generation Computer Systems, v. 160, p. 739–751, 2024.
  • CARDOSO-PEREIRA, ISADORA; BORGES, JOÃO B.; VIANA, ALINE C.; Loureiro, Antonio A. F.; Ramos, Heitor S. POPAyI: Muscling Ordinal Patterns for Low-Complex and Usability-Aware Transportation Mode Detection. IEEE Internet of Things Journal, v. 11, p. 17170–17183, 2024.
  • MICHELIN, LUCAS; GODOY, LUCAS C.; Ramos, Heitor S.; PRATES, MARCOS O. Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt. Spatial Statistics, v. 65, p. 100873, 2024.
  • CAPANEMA, CLÁUDIO G. S.; DE SOUZA, ALLAN M.; COSTA, JOAHANNES B. D. DA; SILVA, FABRÍCIO A.; VILLAS, LEANDRO A.; LOUREIRO, ANTONIO A. F. A Novel Prediction Technique for Federated Learning. IEEE Transactions on Emerging Topics in Computing, v. 1, p. 1–16, 2024.
  • SCHWANCK, FELIPE MACHADO; LEIPNITZ, MARCOS TOMAZZOLI; CARBONERA, JOEL LUÍS; Wickboldt, Juliano Araujo. A Framework for testing Federated Learning algorithms using an edge-like environment. Future Generation Computer Systems, v. 61, p. 107626, 2024.
  • RODRIGUEZ-VIVAS, ANGELA; CAICEDO, OSCAR MAURICIO; NOBRE, JÉFERSON CAMPOS; ORDOÑEZ, ARMANDO; CASILIMAS, KATHERINE. On the feasibility of using an autonomic control loop and automated planning for tenant-oriented reconfiguration of network slices.
  • FICARA, ANNAMARIA; CHERIFI, HOCINE; LIU, XIAOYANG; Bittencourt, Luiz Fernando; FAZIO, MARIA. Complex networks for Smart environments management. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 234, p. 104088, 2025.
  • RODRIGUES FILHO, R.; SENE JUNIOR, I.; PORTER, B.; BITTENCOURT, L. F.; KON, F.; COSTA, F. M. Exploring emergent microservice evolution in elastic deployment environments. JOURNAL OF SYSTEMS AND SOFTWARE, v. 219, p. 112252, 2025.
  • OLIVEIRA, L. T.; BITTENCOURT, L. F.; GENEZ, T. A. L.; LARA, E.; PEIXOTO, M. L. M. Enhancing modular application placement in a hierarchical fog computing: A latency and communication cost-sensitive approach. COMPUTER COMMUNICATIONS, v. 216, p. 95–111, 2024.

Nacionais

  • MEDEIROS, A. M.; SOUZA JUNIOR, J. L.; ANDRADE, M. C.; COSTA, S. W. S.; COSTA, F. A. R.; SAMPAIO NETO, N. C.; SERUFFO, MARCOS CÉSAR DA ROCHA. Application of a multicriteria decision model for the classification of Paraíba’s municipalities as to the occurrence of domestic and family violence against women. SBC JOURNAL ON 3D INTERACTIVE SYSTEMS, v. 15, p. 1–10, 2024.
  • PEREIRA, L. G. C.; SERUFFO, MARCOS CÉSAR DA ROCHA. Previsão de Desempenho Escolar Aplicando Perceptron de Multicamadas. REVISTA FISIO&TERAPIA, v. 28, p. 1–15, 2024.
  • FERREIRA, K.; VIDAL, D. A.; PANTOJA, L. J. C.; OLIVEIRA JUNIOR, O. B.; CARDOSO, D. L.; SERUFFO, MARCOS CESAR DA ROCHA; JASSE, F. F. A.; ARANTES, D. C. TRIAGEM INTELIGENTE: VALIDAÇÃO PREDITIVA DE CHATBOT COM USO DE INTELIGÊNCIA ARTIFICIAL PARA PRÉ-TRIAGEM DE PACIENTES PARA CLÍNICA UNIVERSITÁRIA. REVISTA MULTIDISCIPLINAR DO NORDESTE MINEIRO, v. 12, p. 1–19, 2024.