Danilo Fernandes
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Danilo Fernandes has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Andre Luiz Lins Aquino
Federal University of Alagoas, Maceió, Brazil
3 shared publications - Geymerson S. Ramos
Computing Institute Universidade Federal de Alagoas Av. Lourival Melo Mota S/N Tabuleiro do Martins 57072-970 Maceió Alagoas Brazil
3 shared publications - Douglas Leite Leal Moura
Federal University of Minas Gerais, Belo Horizonte, Brazil
1 shared publication - Fabiane Queiroz
Federal University of Alagoas, Maceió, Brazil
1 shared publication - Gean Santos
Federal University of Alagoas, Maceió, Brazil
1 shared publication - Jorge Artur Peçanha de Miranda Coelho
Faculdade de Medicina—Universidade Federal de Alagoas (UFAL)
1 shared publication
Latest Publications
- 7 May 2024
- Published by Elsevier in Applied Soft Computing
- Vol. 160
A multi-start simulated annealing strategy for Data Lake Organization Problem
- 7 May 2024
- Published by Elsevier in Applied Soft Computing
- Vol. 160
A multi-start simulated annealing strategy for Data Lake Organization Problem
- Open Access
- 30 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Towards Edge-Based Data Lake Architecture for Intelligent Transportation System
The rapid urbanization growth has underscored the need for innovative solutions to enhance transportation efficiency and safety. Intelligent Transportation Systems (ITS) have emerged as a promising solution in this context. However, analyzing and processing the massive and intricate data generated by ITS presents significant challenges for traditional data processing systems. This work proposes an Edge-based Data Lake Architecture to integrate and analyze the complex data from ITS efficiently. The architecture offers scalability, fault tolerance, and performance, improving decision-making and enhancing innovative services for a more intelligent transportation ecosystem. We demonstrate the effectiveness of the architecture through an analysis of three different use cases: (i) Vehicular Sensor Network, (ii) Mobile Network, and (iii) Driver Identification applications.
- 30 October 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Open AccessTowards Edge-Based Data Lake Architecture for Intelligent Transportation System
The rapid urbanization growth has underscored the need for innovative solutions to enhance transportation efficiency and safety. Intelligent Transportation Systems (ITS) have emerged as a promising solution in this context. However, analyzing and processing the massive and intricate data generated by ITS presents significant challenges for traditional data processing systems. This work proposes an Edge-based Data Lake Architecture to integrate and analyze the complex data from ITS efficiently. The architecture offers scalability, fault tolerance, and performance, improving decision-making and enhancing innovative services for a more intelligent transportation ecosystem. We demonstrate the effectiveness of the architecture through an analysis of three different use cases: (i) Vehicular Sensor Network, (ii) Mobile Network, and (iii) Driver Identification applications.
- 29 March 2023
- Published by Springer Nature
- p. 3-29
Toward Data Lake Technologies for Intelligent Societies and Cities
- 29 March 2023
- Published by Springer Nature
- p. 3-29
Toward Data Lake Technologies for Intelligent Societies and Cities