Fernando José Mateus da Silva

Affiliations:
  • Instituto Politécnico de Leiria, Portugal
  • Universidad de Extremadura, Caceres, Spain (PhD 2011)


According to our database1, Fernando José Mateus da Silva authored at least 13 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
SmartWalk Mobile - A Context-Aware m-Health App for Promoting Physical Activity Among the Elderly.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Real-Time Low-Cost Active and Assisted Living for the Elderly.
Proceedings of the Ambient Intelligence, 2019

2018
Big Data Analytics in IOT: Challenges, Open Research Issues and Tools.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

2015
Smart Remote Control Design for Seniors.
Proceedings of the Universal Access in Human-Computer Interaction. Access to Interaction, 2015

2014
Traffic Management in Rural Networks.
Proceedings of the Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services, 2014

2011
Parallel Niche Pareto AlineaGA - an Evolutionary Multiobjective approach on Multiple Sequence Alignment.
J. Integr. Bioinform., 2011

A Parallel Niched Pareto Evolutionary Algorithm for Multiple Sequence Alignment.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

2010
AlineaGA - a genetic algorithm with local search optimization for multiple sequence alignment.
Appl. Intell., 2010

Parallel AlineaGA: An island parallel evolutionary algorithm for multiple sequence alignment.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

A Niched Pareto Genetic Algorithm - For Multiple Sequence Alignment Optimization.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

An evolutionary approach for performing multiple sequence alignment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Optimizing Multiple Sequence Alignment by Improving Mutation Operators of a Genetic Algorithm.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
AlineaGA: A Genetic Algorithm for Multiple Sequence Alignment.
Proceedings of the New Challenges in Applied Intelligence Technologies, 2008


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