A mobility-aware federated learning coordination algorithm von Macedo, Daniel, Santos, Danilo, Perkusich, Angelo, Valadares, Dalton

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Mobility-Aware Federated Learning Considering Multiple Networks von Macedo, Daniel, Santos, Danilo, Perkusich, Angelo, Valadares, Dalton C G

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Leveraging the innovation index (IVI): A research, development, and innovation-centric measurement approach von Albuquerque, Danyllo, Damásio, Jemerson, Santos, Danilo, Almeida, Hyggo, Perkusich, Mirko, Perkusich, Angelo

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Integrating Interactive Detection of Code Smells into Scrum: Feasibility, Benefits, and Challenges von Albuquerque, Danyllo, Guimarães, Everton, Perkusich, Mirko, Almeida, Hyggo, Perkusich, Angelo

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An Acoustic Sensing Gesture Recognition System Design Based on a Hidden Markov Model von Moreira, Bruna Salles, Perkusich, Angelo, Luiz, Saulo O D

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Systematic Literature Review on the Use of Trusted Execution Environments to Protect Cloud/Fog-Based Internet of Things Applications von Valadares, Dalton Cezane Gomes, Will, Newton Carlos, Caminha, Jean, Perkusich, Mirko Barbosa, Perkusich, Angelo, Gorgonio, Kyller Costa

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Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries von Sobrinho, Alvaro, da Silva, Leandro Dias, Perkusich, Angelo, Pinheiro, Maria Eliete, Cunha, Paulo

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Privacy-Preserving Blockchain Technologies von Valadares, Dalton Cézane Gomes, Perkusich, Angelo, Martins, Aldenor Falcão, Kamel, Mohammed B. M., Seline, Chris

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On Adopting Software Analytics for Managerial Decision-Making: A Practitioner's Perspective von Rique, Thiago, Perkusich, Mirko, Dantas, Emanuel, Albuquerque, Danyllo, Gorgonio, Kyller, Almeida, Hyggo, Perkusich, Angelo

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A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems von Silva, Lenardo C, Almeida, Hyggo O, Perkusich, Angelo, Perkusich, Mirko

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On the Assessment of Interactive Detection of Code Smells in Practice: A Controlled Experiment von Albuquerque, Danyllo, Guimaraes, S Everton, Perkusich, Mirko, Rique, Thiago, Cunha, Felipe, Almeida, Hyggo, Perkusich, Angelo

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Team Formation in Software Engineering: a Systematic Mapping Study von Costa, Alexandre, Ramos, Felipe, Perkusich, Mirko, Dantas, Emanuel, Dilorenzo, Ednaldo, Chagas, Ferdinandy, Meireles, Andre, Albuquerque, Danyllo, Silva, Luiz, Almeida, Hyggo, Perkusich, Angelo

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Computer-Aided Diagnosis of Chronic Kidney Disease in Developing Countries: A Comparative Analysis of Machine Learning Techniques von Sobrinho, Alvaro, Queiroz, Andressa C. M. Da S., Dias Da Silva, Leandro, De Barros Costa, Evandro, Eliete Pinheiro, Maria, Perkusich, Angelo

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An Insight into the Capabilities of Professionals and Teams in Agile Software Development: An Update of the Systematic Literature Review von Cunha, Felipe, Perkusich, Mirko, Guimaraes, Everton, Santos, Ramon, Rique, Thiago, Albuquerque, Danyllo, Perkusich, Angelo, Almeida, Hyggo, Costa Gorgonio, Kyller

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AICodeReview: Advancing code quality with AI-enhanced reviews von Almeida, Yonatha, Albuquerque, Danyllo, Filho, Emanuel Dantas, Muniz, Felipe, de Farias Santos, Katyusco, Perkusich, Mirko, Almeida, Hyggo, Perkusich, Angelo

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A Genetic Algorithm-Based Approach to Support Forming Multiple Scrum Project Teams von Costa, Alexandre, Ramos, Felipe, Perkusich, Mirko, Neto, Ademar De Sousa, Silva, Luiz, Cunha, Felipe, Rique, Thiago, Almeida, Hyggo, Perkusich, Angelo

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A coloured Petri nets-based system for validation of biomedical signal acquisition devices von Júnior, José Irineu Ferreira, Sobrinho, Álvaro, Silva, Leandro Dias da, Cunha, Paulo, Cordeiro, Thiago, Perkusich, Angelo, Lima, Antonio Marcus Nogueira

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Enabling the Reuse of Software Development Assets Through a Taxonomy for User Stories von Dilorenzo, Ednaldo, Dantas, Emanuel, Perkusich, Mirko, Ramos, Felipe, Costa, Alexandre, Albuquerque, Danyllo, Almeida, Hyggo, Perkusich, Angelo

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Machine Learning for COVID-19 and Influenza Classification during Coexisting Outbreaks von Viana dos Santos Santana, Iris, Sobrinho, Álvaro, Dias da Silva, Leandro, Perkusich, Angelo

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Exploring Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms for Small and Imbalanced Datasets von Silveira, Andressa C. M. da, Sobrinho, Álvaro, Silva, Leandro Dias da, Costa, Evandro de Barros, Pinheiro, Maria Eliete, Perkusich, Angelo

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