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Julio C. S. dos Anjos
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2020 – today
- 2024
- [j18]Julio C. S. dos Anjos
, Kassiano J. Matteussi
A Survey on Collaborative Learning for Intelligent Autonomous Systems. ACM Comput. Surv. 56(4): 98:1-98:37 (2024) - [j17]João Eduardo Costa Gomes
Surveying Emerging Network Approaches for Military Command and Control Systems. ACM Comput. Surv. 56(6): 143:1-143:38 (2024) - [j16]Ancilon Leuch Alencar
Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks. Future Internet 16(3): 97 (2024) - [j15]Rodrigo B. Dos Passos
Towards a Decentralized Blockchain-Based Resource Monitoring Solution For Distributed Environments. J. Internet Serv. Appl. 15(1): 1-13 (2024) - [j14]Mauricio D. O. Farina
Hardware-Independent Embedded Firmware Architecture Framework. J. Internet Serv. Appl. 15(1): 14-24 (2024) - [j13]Shirlei L. O. Do Carmo
Data quantitative and qualitative study in Brazilian Open Data Portals. J. Internet Serv. Appl. 15(1): 72-82 (2024) - [c13]Carlos André Rodrigues da Silva, Lauro de Souza Silva, Julio Cesar Santos dos Anjos, Jorgito Matiuzzi Stocchero
SDN Supported Network State Aware Command and Control Application Framework. AINA (4) 2024: 448-459 - [c12]Otávio Augusto Rocha Da Cruz
Micro-Chain: Towards the use of NDN microservices. SAC 2024: 1099-1103 - [c11]Guilherme Antonio Borges, Julio Cesar Santos dos Anjos, Jorge Sá Silva:
Federated Learning for Sleep Detection Problems. SMARTCOMP 2024: 368-373 - 2023
- [j12]Fernanda C. Orlandi
Entropy to Mitigate Non-IID Data Problem on Federated Learning for the Edge Intelligence Environment. IEEE Access 11: 78845-78857 (2023) - [j11]Mauricio D. O. Farina
Real-Time Auto Calibration for Heterogeneous Wireless Sensor Networks. J. Internet Serv. Appl. 14(1): 1-9 (2023) - [c10]Dante A. C. Barone, Juliano Araujo Wickboldt, Maria Cláudia Reis Cavalcanti, David F. C. Moura, Júlio Cesar Cardoso Tesolin, André M. Demori
Integrating a Multi-Agent System Simulator and a Network Emulator to Realistically Exercise Military Network Scenarios. SIMULTECH 2023: 194-201 - 2022
- [j10]Lidia Martins da Silva, Lucas P. S. Dias, Jorge L. V. Barbosa, Sandro José Rigo, Julio C. S. dos Anjos, Cláudio Fernando Resin Geyer, Valderi R. Q. Leithardt:
Learning analytics and collaborative groups of learners in distance education: a systematic mapping study. Informatics Educ. 21(1): 113-146 (2022) - [j9]Kassiano J. Matteussi
Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines. Sensors 22(13): 4756 (2022) - 2021
- [j8]Julio C. S. dos Anjos
An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture. Sensors 21(9): 2914 (2021) - 2020
- [j7]Julio C. S. dos Anjos
Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures. IEEE Access 8: 170281-170294 (2020) - [j6]Paulo Ricardo Rodrigues De Souza
Boosting Big Data Streaming Applications in Clouds With BurstFlow. IEEE Access 8: 219124-219136 (2020) - [c9]João Luiz Grave Gross, Kassiano José Matteussi, Julio C. S. dos Anjos
A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Edge Computing Environment. ICSOC 2020: 101-109
2010 – 2019
- 2019
- [j5]Joneval Zanella Gomes, Jorge Luis Victória Barbosa
Ubiquitous Intelligent Services for Vehicular Users: A Systematic Mapping. Interact. Comput. 31(5): 465-479 (2019) - [j4]Julio C. S. dos Anjos
Fast-Sec: an approach to secure Big Data processing in the cloud. Int. J. Parallel Emergent Distributed Syst. 34(3): 272-287 (2019) - [c8]Alexandre Da Silva Veith
Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. ICPP 2019: 106:1-106:10 - [c7]Kassiano J. Matteussi, Breno F. Zanchetta, Germano Bertoncello, Jobe D. D. dos Santos, Julio C. S. dos Anjos
Analysis and Performance Evaluation of Deep Learning on Big Data. ISCC 2019: 1-6 - 2018
- [c6]Paulo Ricardo Rodrigues De Souza, Kassiano J. Matteussi, Julio C. S. dos Anjos
Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems. HPCS 2018: 585-592 - [c5]Julio C. S. dos Anjos
Enabling Strategies for Big Data Analytics in Hybrid Infrastructures. HPCS 2018: 869-876 - 2017
- [i1]Alexandre Da Silva Veith, Julio C. S. dos Anjos, Edison Pignaton de Freitas, Thomas J. Lampoltshammer, Cláudio Fernando Resin Geyer:
Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments. CoRR abs/1708.04796 (2017) - 2016
- [j3]Julio C. S. dos Anjos
BIGhybrid: a simulator for MapReduce applications in hybrid distributed infrastructures validated with the Grid5000 experimental platform. Concurr. Comput. Pract. Exp. 28(8): 2416-2439 (2016) - 2015
- [j2]Julio C. S. dos Anjos
MRA++: Scheduling and data placement on MapReduce for heterogeneous environments. Future Gener. Comput. Syst. 42: 22-35 (2015) - [c4]Julio C. S. dos Anjos
SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. CIT/IUCC/DASC/PICom 2015: 199-206 - [c3]Julio Cesar Santos dos Anjos
Genetic Mapping of Diseases through Big Data Techniques. ICEIS (1) 2015: 279-286 - 2014
- [c2]Julio C. S. dos Anjos
BIGhybrid - A Toolkit for Simulating MapReduce in Hybrid Infrastructures. SBAC-PAD (Workshops) 2014: 132-137 - 2013
- [j1]Wagner Kolberg, Pedro de B. Marcos, Julio C. S. dos Anjos
MRSG - A MapReduce simulator over SimGrid. Parallel Comput. 39(4-5): 233-244 (2013) - 2012
- [c1]Julio Cesar Santos dos Anjos
Addressing Data-Intensive Computing Problems with the Use of MapReduce on Heterogeneous Environments as Desktop Grid on Slow Links. WSCAD-SSC 2012: 148-155
Coauthor Index
aka: Cláudio F. R. Geyer
aka: Kassiano José Matteussi
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last updated on 2024-07-30 20:48 CEST by the dblp team
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