{"id":136,"date":"2025-03-07T15:28:53","date_gmt":"2025-03-07T18:28:53","guid":{"rendered":"https:\/\/idric.ic.unicamp.br\/?page_id=136"},"modified":"2026-04-06T17:49:54","modified_gmt":"2026-04-06T20:49:54","slug":"periodicos","status":"publish","type":"page","link":"https:\/\/idric.ic.unicamp.br\/index.php\/periodicos\/","title":{"rendered":"Peri\u00f3dicos"},"content":{"rendered":"\n

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2025<\/h2>\n\n\n\n

Internacionais<\/h4>\n\n\n\n
    \n
  1. MARQUES, Jonatas A.; LEVCHENKO, K.; OBELHEIRO, Rafael R.; PARIZOTTO, Ricardo; GASPARY, Luciano P. Balancing Act: Navigating Control and Data Plane Responsibilities for Fast Operation in Programmable Networks. J. Netw. Syst. Manag., v. 33, 38, 2025.<\/li>\n\n\n\n
  2. TAJBAKHSH, HESAM ; PARIZOTTO, RICARDO ; SCHAEFFER-FILHO, A. E. ; HAQUE, ISRAAT . Reinforcement Learning-Based In-Network Load Balancing. IEEE Transactions on Network and Service Management, v. -, p. 1-1, 2025.<\/li>\n\n\n\n
  3. CHANTRE, H. D.; da Fonseca, N.L.S.. Cost Analysis of VNF Distributions in 5G MEC-Based Networks with Protection Scheme. IEEE Transactions on Network and Service Management, v. 23, p. 1014-1027, 2025.<\/li>\n\n\n\n
  4. LIRA, OSCAR G.; CAICEDO, OSCAR M.; FONSECA, NELSON L. S. DA. Large Language Models for Zero Touch Network Configuration Management. IEEE COMMUNICATIONS MAGAZINE, v. 63, p. 146-153, 2025.<\/li>\n\n\n\n
  5. Luiz F. Bittencourt; RODRIGUES-FILHO, R.; SPILLNER, J.; TURCK, F.; SANTOS, J.; da Fonseca, N.L.S.; RANA, O.; PARASHAR, M.; FOSTER, I., The Computing Continuum: Past, Present, and Future. Computer Science Review, v. 58, 2025.<\/li>\n\n\n\n
  6. CICERI, OSCAR J.; ASTUDILLO, CARLOS A.; FIGUEIREDO, GUSTAVO B.; ZHU, ZUQING; da Fonseca, Nelson L. S.. Resource Allocation in Passive Optical Networks for Low-Latency Mobile Fronthauling Services. IEEE NETWORK, v. 39, p. 278-288, 2025.<\/li>\n\n\n\n
  7. SOUSA, JOHN; RIBEIRO, EDUARDO; BUSTINCIO, ROMULO; BASTOS, LUCAS; MORAIS, RENAN; Cerqueira, Eduardo; ROS\u00c1RIO, DENIS. Enhancing robustness in federated learning using minimal repair and dynamic adaptation in a scenario with client failures. Annals of Telecommunications, v. 1, p. 1-, 2025.<\/li>\n\n\n\n
  8. FREIRE, M.; MAIA, A.; FIGUEIREDO, G.; PRAZERES, C.; LOBATO, W.; VILLAS, L.; SOMMER, C.; PEIXOTO, M.. Clear data, clear roads: Imputing missing data for enhanced intersection flow of connected autonomous vehicles. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 242, p. 104233-, 2025.<\/li>\n\n\n\n
  9. LADEIRA, LUCAS ZANCO; SANTOS, FRANCES ALBERT; VILLAS, LEANDRO APARECIDO. NES: Neural Embedding Squared. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 16, p. 1-12, 2025.<\/li>\n\n\n\n
  10. DE ANDRADE, IAN H.; COSTA, LU\u00cdS HENRIQUE M.K.; Couto, Rodrigo S.. Battery life optimization in LoRa networks using spreading factor reallocation. Ad Hoc Networks, v. 177, p. 103911-, 2025.<\/li>\n\n\n\n
  11. FITTIPALDI, GIULIANO; Couto, Rodrigo S.; COSTA, LU\u00cdS H.M.K.. Exploring traffic pattern variability in vehicular federated learning. COMPUTER COMMUNICATIONS, v. 242, p. 108279-, 2025.<\/li>\n\n\n\n
  12. BRAUN, CARNOT; JARCZEWSKI, RAFAEL O.; DE SOUZA, ALLAN M.. Which One is Better? Distributed Artificial Intelligence Strategies for Accurate Vehicular Emissions Forecasting. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 16, p. 554-565, 2025.<\/li>\n\n\n\n
  13. MOHAMED, AISSA HADJ; DA COSTA, JOAHANNES B. D.; DE SOUZA, ALLAN M.; VILLAS, LEANDRO A.; DOS REIS, JULIO C.. Empowering Client Selection with Local Knowledge Distillation for Efficient Federated Learning in Non-IID Data. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 16, p. 543-553, 2025.<\/li>\n\n\n\n
  14. BUSTINCIO, R\u00d3MULO; DE SOUZA, ALLAN M.; DA COSTA, JOAHANNES B. D.; GONZALEZ, LUIS F. G.; BITTENCOURT, LUIZ F.. Reducing communication overhead through one-shot model pruning in federated learning. Annals of Telecommunications, v. 1, p. 1-, 2025.<\/li>\n\n\n\n
  15. DOS REIS, DAVID DE MELO A.; DE SOUZA, ALLAN M.. Synthetic Driving Conditions Data Generation Using Federated Generative Adversarial Networks. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 16, p. 320-331, 2025.<\/li>\n\n\n\n
  16. SANTO, YURI; ABEL\u00c9M, Ant\u00f4nio; RIKER, ANDR\u00c9; TSIROPOULOU, EIRINI ELENI. Integrating Data Privacy and Energy Management in Smart Cities with Partial Sustainable IoT Networks. IEEE Access, v. 1, p. 1-1, 2025.<\/li>\n\n\n\n
  17. DE ABREU, DIEGO MEDEIROS; MOURA, DAVID; ROTHEMBERG, C. E.; ABEL\u00c9M, A. J. G.. QuantumNetSec: Quantum Machine Learning for Network Security. International Journal of Network Management (Online), v. 35, p. 1-20, 2025.<\/li>\n\n\n\n
  18. ABREU, DIEGO; PIMENTEL, ARTHUR; MOURA, DAVID; ROTHENBERG, CHRISTIAN; ABEL\u00c9M, Ant\u00f4nio. A two-stage Q-learning routing approach for quantum entanglement networks. ANNALS OF TELECOMMUNICATIONS, v. 1, p. 1-16, 2025.<\/li>\n\n\n\n
  19. NARVAEZ BURBANO, ROBINSON; CAICEDO RENDON, OSCAR MAURICIO; ASTUDILLO, CARLOS. A.. An Encoder-Only Transformer Model for Depression Detection from Social Network Data: The DEENT Approach. Applied Sciences-Basel, v. 15, p. 3358-, 2025.<\/li>\n\n\n\n
  20. GUTIERREZ, GABRIEL B.; Astudillo, Carlos A.; NAPOLI, OT\u00c1VIO O.; DE MIRANDA, DANIEL B.; SOUZA, ALAN; NAVARRO, JO\u00c3O P.; BORIN, EDSON. On the Performance Evaluation of Deep Learning Models for Seismic Facies Segmentation. GEOPHYSICAL PROSPECTING, v. 73, p. e70104-, 2025.<\/li>\n\n\n\n
  21. 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.<\/li>\n\n\n\n
  22. 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-, 2025.<\/li>\n\n\n\n
  23. SCHWANCK, FELIPE MACHADO; LEIPNITZ, MARCOS TOMAZZOLI; CARBONERA, JOEL LU\u00cdS; Wickboldt, Juliano Araujo. A Framework for testing Federated Learning algorithms using an edge-like environment. Future Generation Computer Systems, v. 166, p. 107626-, 2025.<\/li>\n\n\n\n
  24. WERMANN, ALEXANDRE GUSTAVO; Wickboldt, Juliano Araujo. KTWIN: A serverless Kubernetes-based Digital Twin platform. Computer Networks, v. 259, p. 111095-, 2025.<\/li>\n\n\n\n
  25. ANDRADE, MAIKO; WICKBOLDT, JULIANO. A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools. Journal of Network and Systems Management, v. 33, p. 90-, 2025.<\/li>\n\n\n\n
  26. LEIPNITZ, MARCOS TOMAZZOLI; ABEL, MARA; PETRY, RAFAEL HUMANN; RODRIGUES, FABR\u00cdCIO HENRIQUE; DE SOUZA SILVA, HAROLDO ROJAS; CORREIA, JAQUELINE BITENCOURT; BECKER, KARIN; WICKBOLDT, JULIANO ARA\u00daJO; CARBONERA, JOEL LU\u00cdS; NETTO, JO\u00c3O CESAR. Architecting Digital Twins: From Concept to Reality. PROCEDIA COMPUTER SCIENCE, v. 256, p. 530-537, 2025.<\/li>\n\n\n\n
  27. JACOBS, ARTHUR SELLE; PFITSCHER, RICARDO JOS\u00c9; RIBEIRO, RAFAEL HENGEN; GRANVILLE, Lisandro Zambenedetti; FERREIRA, RONALDO ALVES; WILLINGER, WALTER; RAO, SANJAY G.. Establishing Trust for Using Natural Language for Intent-Based Networking. IEEE Transactions on Network and Service Management, v. 22, p. 4775-4787, 2025.<\/li>\n\n\n\n
  28. CUNHA CAMARGO, ARTHUR VIN\u00cdCIUS; Granville, Lisandro; BERTHOLDO, LEANDRO M.. Beyond Size: Investigating the Impact of Scaled-Down Network Telescopes on Threat Detection. International Journal of Network Management, v. 35, p. 1-, 2025.<\/li>\n\n\n\n
  29. WILLINGER, WALTER; FERREIRA, RONALDO A.; GUPTA, ARPIT; BELTIUKOV, ROMAN (SYLEE); GUTHULA, SATYANDRA; Granville, Lisandro Z.; JACOBS, ARTHUR S.. When Something Looks too Good to be True, it Usually is! AI is Causing a Credibility Crisis in Networking. ACM SIGCOMM Computer Communication Review, v. 55, p. 10-15, 2025.<\/li>\n\n\n\n
  30. GROSSI, Arthur B\u00f6ckmann; TAVARES DA COSTA FILHO, ROBERTO IRAJ\u00c1; GASPARY, LUCIANO PASCHOAL. On the quality of WebRTC-based videoconferencing under adverse and mobility scenarios. Annals of Telecommunications, v. 80, p. 1-, 2025.<\/li>\n\n\n\n
  31. GUTI\u00c9RREZ, SERGIO ARMANDO; BOTERO, JUAN FELIPE; FLETSCHER, LUIS; GASPARY, LUCIANO PASCHOAL; GAVIRIA, NATALIA; JACOB, EDUARDO; LARA, ADRIAN; P\u00c9REZ-D\u00cdAZ, JES\u00daS ARTURO; TO, MARCO ANTONIO. Cybersecurity Via Programmable Networks: Are We There Yet?. Journal of Network and Systems Management, v. 33, p. 95-, 2025.<\/li>\n\n\n\n
  32. FERREIRA, J. V. R.; ANDRADE, D. I. S.; SERUFFO, MARCOS C\u00c9SAR ROCHA; RIBEIRO, B. C.; OLIVEIRA, F. A.; CARNEIRO, S. R.; NEVES, L. M. T.. Desenvolvimento e avalia\u00e7\u00e3o da usabilidade de aplicativo sobre doen\u00e7as respirat\u00f3rias. journal of health informatics, v. 17, p. 1-8, 2025.<\/li>\n\n\n\n
  33. SILVA FILHO, F. G. S.; FALCAO, I. W. S.; SOUZA, T. M.; CARNEIRO, S. R.; SERUFFO, MARCOS CESAR DA ROCHA; CARDOSO, D. L.. Integrated Artificial Intelligence Framework for Tuberculosis Treatment Abandonment Prediction: A Multi-Paradigm Approach. Journal of Clinical Medicine, v. 14, p. 8646-8682, 2025.<\/li>\n\n\n\n
  34. DIAS, JEAN A. C.; COSTA, FERNANDO A. R.; SERUFFO, M. C. R.; GUIMAR\u00c3ES, PEDRO H. DO V.; PEREIRA, WILLIANE G. S.; TAMASAUSKAS, LEONARDO DE O.; GOMES, MARIVAN S.; CORR\u00caA, ALAN B. S.; FIGUEIREDO, KARLA; COSTA, GILSON; BRITO-COSTA,G.. Enhanced Carbon Flux Forecasting via STL Decomposition and Hybrid ARIMA-ES-LSTM Model in Amazon Forest. IEEE Access, v. 13, p. 84713-84726, 2025.<\/li>\n\n\n\n
  35. PEREIRA, R. S.; FALC\u00c3O, IGOR W. S.; CARNEIRO, S. R.; SERUFFO, MARCOS CESAR DA ROCHA; FIGUEIREDO, KARLA. Modelo preditivo para resultados cl\u00ednicos da tuberculose com Redes Neurais. journal of health informatics, v. 17, p. 1419-1427, 2025.<\/li>\n\n\n\n
  36. SANTOS, A. E. C.; PANTOJA, M. G. G.; PAIXAO, .A. R.; TEIXEIRA, R. C.; SERUFFO, MARCOS CESAR DA ROCHA; CARDOSO, D. L.. Network Selection in B5G Heterogeneous Networks Using AHP-TOPSIS. IEEE Access, v. 1, p. 1-22, 2025.<\/li>\n\n\n\n
  37. PACHECO, ROBERTO G.; BAJPAI, DIVYA J.; SHIFRIN, MARK; Couto, Rodrigo S.; MENASCH\u00c9, DANIEL SADOC; HANAWAL, MANJESH K.; Campista, Miguel Elias M.. UCBEE: A Multi Armed Bandit Approach for Early-Exit in Neural Networks. IEEE Transactions on Network and Service Management, v. 22, p. 107-120, 2025.<\/li>\n\n\n\n
  38. THOMAZ, GUILHERME A.; BARRY, THIERNO; SAMMARCO, MATTEO; M. CAMPISTA, MIGUEL ELIAS. End-to-end trusted computing architecture for vehicular over-the-air updates. ANNALS OF TELECOMMUNICATIONS, v. 1, p. 1-, 2025.<\/li>\n\n\n\n
  39. ROCHA, Acquila Santos; Pinheiro, Billy; CORDEIRO, W.; BORGES, Vinicius da Cunha Martins. TrustMD – A multi-layer framework for domain, edge and D2D caching based on trust dissemination and blockchain. Pervasive and Mobile Computing, p. 102015-, 2025.<\/li>\n<\/ol>\n\n\n\n

    2024<\/h1>\n\n\n\n

    Internacionais<\/h4>\n\n\n\n
      \n
    1. Capanema, Cl\u00e1udio G. S.; De Souza, Allan M.; Costa, Joahannes B. D. da; Silva, Fabr\u00edcio 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.<\/li>\n\n\n\n
    2. PACHECO, LUCAS ; BRAUN, TORSTEN ; ROS\u00c1RIO, DENIS ; DI MAIO, ANTONIO ; Cerqueira, Eduardo . A Distributed Aggregation Approach for Vehicular Federated Learning. IEEE Access, v. 12, p. 72155-72169, 2024.<\/li>\n\n\n\n
    3. 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\u2013782, 2024.<\/li>\n\n\n\n
    4. da SILVA, R. A. C.; da Fonseca, Nelson L. S. The Fog Node Location Problem. CLEI ELECTRONIC JOURNAL, v. 27, p. 2:1\u20132:13, 2024.<\/li>\n\n\n\n
    5. 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.<\/li>\n\n\n\n
    6. 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.<\/li>\n\n\n\n
    7. TRINDADE, S.; da Fonseca, Nelson L. S. Client Selection in Hierarchical Federated Learning. IEEE Internet of Things Journal, v. 11, p. 28480\u201328495, 2024.<\/li>\n\n\n\n
    8. 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\u20135504, 2024.<\/li>\n\n\n\n
    9. 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\u201331916, 2024.<\/li>\n\n\n\n
    10. 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.<\/li>\n\n\n\n
    11. 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\u2013126, 2024.<\/li>\n\n\n\n
    12. CARDOSO-PEREIRA, Isadora; BORGES, Jo\u00e3o 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\u201317183, 2024.<\/li>\n\n\n\n
    13. 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.<\/li>\n\n\n\n
    14. BRITO, MATHEUS; SANTOS, CAMILO; MARTINS, BRUNO S.; MEDEIROS, IAGO; SERUFFO, MARCOS; Cerqueira, Eduardo; ROS\u00c1RIO, DENIS. Context-aware multi-modal route selection service for urban computing scenarios. Ad Hoc Networks, v. 161, p. 103525, 2024.<\/li>\n\n\n\n
    15. PACHECO, LUCAS; BRAUN, TORSTEN; ROS\u00c1RIO, DENIS; DI MAIO, ANTONIO; Cerqueira, Eduardo. A Distributed Aggregation Approach for Vehicular Federated Learning. IEEE Access, v. 12, p. 72155\u201372169, 2024.<\/li>\n\n\n\n
    16. 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.<\/li>\n\n\n\n
    17. VEIGA, RAFAEL; SOUSA, JOHN; MORAIS, RENAN; BASTOS, LUCAS; LOBATO, WELLINGTON; ROS\u00c1RIO, DENIS; Cerqueira, Eduardo. A Robust Client Selection Mechanism for Federated Learning Environments. JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY (ONLINE), v. 30, p. 444\u2013455, 2024.<\/li>\n\n\n\n
    18. SILVA, ANTONIO; Mendes, Paulo; Cerqueira, Eduardo; ROS\u00c1RIO, 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\u2013382, 2024.<\/li>\n\n\n\n
    19. 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.<\/li>\n\n\n\n
    20. CAMILO, GUSTAVO F.; REBELLO, GABRIEL ANTONIO F.; DE SOUZA, LUCAS AIRAM C.; Campista, Miguel Elias M.; COSTA, LU\u00cdS 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\u20131, 2024.<\/li>\n\n\n\n
    21. Couto, Rodrigo S.; CRUZ, PEDRO; PACHECO, ROBERTO G.; SOUZA, VIVIAN MARIA S.; Campista, Miguel Elias M.; Costa, Lu\u00eds 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\u201314, 2024.<\/li>\n\n\n\n
    22. DE SOUZA, LUCAS AIRAM C.; CAMILO, GUSTAVO F.; REBELLO, GABRIEL A. FONTES; SAMMARCO, M.; CAMPISTA, M. E. M.; COSTA, LU\u00cdS 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\u2013288, 2024.<\/li>\n\n\n\n
    23. 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\u2013711, 2024.<\/li>\n\n\n\n
    24. 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.<\/li>\n\n\n\n
    25. 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\u201334, 2024.<\/li>\n\n\n\n
    26. ARAUJO, M. C.; BITTENCOURT, L. F. CMFogV: Proactive content migration for multi-level fog computing. Pervasive and Mobile Computing, v. 102, p. 101933, 2024.<\/li>\n\n\n\n
    27. FALCAO, I. W. S.; SANTOS, A. E. C.; LEIT, K. T. F.; CARDOSO, D. L.; PAIXAO; CARNEIRO, S. R.; SERUFFO, MARCOS C\u00c9SAR 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.<\/li>\n\n\n\n
    28. SILVA, ANDREIA FERREIRA DA; FIGUEIREDO, KARLA; FALC\u00c3O, IGOR W. S.; COSTA, FERNANDO A. R.; DA ROCHA SERUFFO, MARCOS C\u00c9SAR; DE MORAES, CARLA CRISTINA GUIMAR\u00c3ES. Study of machine learning techniques for outcome assessment of leptospirosis patients. Scientific Reports, v. 14, p. 13929\u2013139339, 2024.<\/li>\n\n\n\n
    29. 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.<\/li>\n\n\n\n
    30. 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.<\/li>\n\n\n\n
    31. 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\u201313, 2024.<\/li>\n\n\n\n
    32. CAMILO, GUSTAVO F.; REBELLO, GABRIEL ANTONIO F.; DE SOUZA, LUCAS AIRAM C.; Campista, Miguel Elias M.; Costa, Lu\u00eds 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\u20133178, 2024.<\/li>\n\n\n\n
    33. DE SOUZA, LUCAS AIRAM C.; CAMILO, G. F.; REBELLO, GABRIEL ANTONIO F.; SAMMARCO, M.; Campista, M. E. M.; Costa, Lu\u00eds 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.<\/li>\n\n\n\n
    34. 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\u2013320, 2024.<\/li>\n\n\n\n
    35. 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.<\/li>\n\n\n\n
    36. 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\u2013355, 2024.<\/li>\n\n\n\n
    37. 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\u201337, 2024.<\/li>\n\n\n\n
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      3. 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: VALIDA\u00c7\u00c3O PREDITIVA DE CHATBOT COM USO DE INTELIG\u00caNCIA ARTIFICIAL PARA PR\u00c9-TRIAGEM DE PACIENTES PARA CL\u00cdNICA UNIVERSIT\u00c1RIA. REVISTA MULTIDISCIPLINAR DO NORDESTE MINEIRO, v. 12, p. 1\u201319, 2024.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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