Attaining Strictly Increasing and Precise Time Count in Energy-Efficient Computer Systems. - Diego Leonel Cadette Dutra; Lauro Luis Armondi Whately; Claudio Luis de Amorim (SBAC-PAD, 2013)

RadFlow: An Interest-Centric Task Based Dataflow Runtime. - Diego Leonel Cadette Dutra; Heberte F. Moraes; Cláudio L. Amorim (SBAC-PAD (Workshops), 2015)

Ensuring End-to-End QoS Based on Multi-Paths Routing Using SDN Technology. - Diego Leonel Cadette Dutra; Miloud Bagaa; Tarik Taleb; Konstantinos Samdanis (GLOBECOM, 2017)

An efficient virtual system clock for the wireless raspberry pi computer platform. - Diego Leonel Cadette Dutra; Edilson C. Corrêa; Cláudio L. Amorim (Concurr. Comput. Pract. Exp., 2017)

Towards a Fast Service Migration in 5G. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Miloud Bagaa; Tarik Taleb; Hannu Flinck (CSCN, 2018)

Benchmarking the ONOS Intent Interfaces to Ease 5G Service Management. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Miloud Bagaa; Tarik Taleb; Hannu Flinck; Mehdi Namane (GLOBECOM, 2018)

MIRA!: An SDN-Based Framework for Cross-Domain Fast Migration of Ultra-Low Latency 5G Services. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Tarik Taleb; Miloud Bagaa; Hannu Flinck (GLOBECOM, 2018)

Towards Modeling Cross-Domain Network Slices for 5G. - Rami Akrem Addad; Tarik Taleb; Miloud Bagaa; Diego Leonel Cadette Dutra; Hannu Flinck (GLOBECOM, 2018)

Virtual security as a service for 5G verticals. - Yacine Khettab; Miloud Bagaa; Diego Leonel Cadette Dutra; Tarik Taleb; Nassima Toumi (WCNC, 2018)

Towards Studying Service Function Chain Migration Patterns in 5G Networks and Beyond. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Miloud Bagaa; Tarik Taleb; Hannu Flinck (GLOBECOM, 2019)

Fluid computing: interest-based communication in dataflow/multiset rewriting computing. - Rui Rodrigues de Mello Junior; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Gabriel Antoine Louis Paillard; Claudio Luis de Amorim; Felipe Maia Galvão França (EATIS, 2020)

Fast Service Migration in 5G Trends and Scenarios. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Miloud Bagaa; Tarik Taleb; Hannu Flinck (IEEE Netw., 2020)

Network Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutions. - Rami Akrem Addad; Tarik Taleb; Hannu Flinck; Miloud Bagaa; Diego Leonel Cadette Dutra (IEEE Netw., 2020)

Optimization Model for Cross-Domain Network Slices in 5G Networks. - Rami Akrem Addad; Miloud Bagaa; Tarik Taleb; Diego Leonel Cadette Dutra; Hannu Flinck (IEEE Trans. Mob. Comput., 2020)

On SDN-Driven Network Optimization and QoS Aware Routing Using Multiple Paths. - Miloud Bagaa; Diego Leonel Cadette Dutra; Tarik Taleb; Konstantinos Samdanis (IEEE Trans. Wirel. Commun., 2020)

Self-optimized network: When Machine Learning Meets Optimization. - Abdelhakim Nacef; Miloud Bagaa; Youcef Aklouf; Abdellah Kaci; Diego Leonel Cadette Dutra; Adlen Ksentini (GLOBECOM, 2021)

Toward Using Reinforcement Learning for Trigger Selection in Network Slice Mobility. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Tarik Taleb; Hannu Flinck (IEEE J. Sel. Areas Commun., 2021)

Weightless Neural Networks for Efficient Edge Inference. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (PACT, 2022)

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Diego Leonel Cadette Dutra; Leandro Santiago de Araújo; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John; Maurício Breternitz (ASAP, 2022)

Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. - Alan T. L. Bacellar; Zachary Susskind; Luis A. Q. Villon; Igor D. S. Miranda; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Maurício Breternitz Jr.; Lizy K. John; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2022)

Pruning Weightless Neural Networks. - Zachary Susskind; Alan T. L. Bacellar; Aman Arora 001; Luis A. Q. Villon; Renan Mendanha; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Igor D. S. Miranda; Maurício Breternitz Jr.; Lizy K. John (ESANN, 2022)

A WiSARD-based conditional branch predictor. - Luis A. Q. Villon; Zachary Susskind; Alan T. L. Bacellar; Igor D. S. Miranda; Leandro Santiago de Araújo; Priscila M. V. Lima; Maurício Breternitz Jr.; Lizy K. John; Felipe M. G. França; Diego Leonel Cadette Dutra (ESANN, 2022)

A New Interest-Based Protocol to Hide and Protect Servers in IP Networks. - Marco A. Coutinho; Evandro L. C. Macedo; Luís F. M. de Moraes; Victor Cracel Messner; Diego Leonel Cadette Dutra; Claudio Luis de Amorim; Valeriana Gomes Roncero; Nilton Alves Júinior; Marita Maestrelli; Márcio Portes de Albuquerque; Sandro Silva (ICOIN, 2022)

Machine learning based fast self optimized and life cycle management network. - Abdelhakim Nacef; Abdellah Kaci; Youcef Aklouf; Diego Leonel Cadette Dutra (Comput. Networks, 2022)

AI-Based Network-Aware Service Function Chain Migration in 5G and Beyond Networks. - Rami Akrem Addad; Diego Leonel Cadette Dutra; Tarik Taleb; Hannu Flinck (IEEE Trans. Netw. Serv. Manag., 2022)

Toward Enabling Network Slice Mobility to Support 6G System. - Miloud Bagaa; Diego Leonel Cadette Dutra; Tarik Taleb; Hannu Flinck (IEEE Trans. Wirel. Commun., 2022)

Lotka-Volterra Applied to Misinformation Extinction in Opportunistic Networks. - Victor Cracel Messner; Anderson Zudio; Diego Leonel Cadette Dutra; Cláudio L. Amorim (AINA (1), 2023)

COIN: Combinational Intelligent Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Josias S. A. Souza; Mugdha P. Jadhao; Luis A. Q. Villon; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ASAP, 2023)

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. - Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego Leonel Cadette Dutra; Igor D. S. Miranda; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (FPGA, 2023)

Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies. - Lizy K. John; Felipe M. G. França; Subhasish Mitra; Zachary Susskind; Priscila M. V. Lima; Igor D. S. Miranda; Eugene B. John; Diego L. C. Dutra; Maurício Breternitz (ICRC, 2023)

A conditional branch predictor based on weightless neural networks. - Luis A. Q. Villon; Zachary Susskind; Alan T. L. Bacellar; Igor D. S. Miranda; Leandro Santiago de Araújo; Priscila M. V. Lima; Maurício Breternitz; Lizy K. John; Felipe M. G. França; Diego Leonel Cadette Dutra (Neurocomputing, 2023)

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Alan T. L. Bacellar; Luis A. Q. Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ACM Trans. Archit. Code Optim., 2023)

Ensemble Learning Approaches for Detecting Fishing Activity in Maritime Surveillance: A Performance Evaluation. - Vinicius D. do Nascimento; Claudio M. de Farias; Diego L. C. Dutra; Tiago A. O. Alves (FUSION, 2024)

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. - Shashank Nag; Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego L. C. Dutra; Igor D. S. Miranda; Krishnan Kailas; Eugene B. John; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (MWSCAS, 2024)

A Hybrid Framework for Maritime Surveillance: Detecting Illegal Activities through Vessel Behaviors and Expert Rules Fusion. - Vinicius D. do Nascimento; Tiago A. O. Alves; Claudio M. de Farias; Diego Leonel Cadette Dutra (Sensors, 2024)

Updating KernelCanvas for weightless graph classification. - Raul Bezerra Barbosa; Diego Leonel Cadette Dutra; Priscila Machado Vieira Lima; Diego Carvalho 001; Felipe Maia Galvão França (Neurocomputing, 2025)