Daniel Carvalho da Cunha

Orcid: 0000-0003-4515-4938

Affiliations:
  • Federal University of Pernambuco, Centro de Informática (CIn), Brazil
  • University of Campinas, Brazil (PhD 2006)


According to our database1, Daniel Carvalho da Cunha authored at least 22 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Proposal of a Memory-Based Ensemble Particle Swarm Optimizer.
Proceedings of the Advances in Swarm Intelligence, 2024

A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

2023
Generation of irregular grid maps for fingerprinting-based mobile radio localization using farthest-first traversal and low-discrepancy sequences.
Comput. Commun., November, 2023

2021
A cost-effective trilateration-based radio localization algorithm using machine learning and sequential least-square programming optimization.
Comput. Commun., 2021

2020
A scalable fingerprint-based angle-of-arrival machine learning approach for cellular mobile radio localization.
Comput. Commun., 2020

2019
An RSS-based regression model for user equipment location in cellular networks using machine learning.
Wirel. Networks, 2019

Autonomous power management in mobile devices using dynamic frequency scaling and reinforcement learning for energy minimization.
Microprocess. Microsystems, 2019

A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018
A proposal of an RF fingerprint-based outdoor localization technique using irregular grid maps.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Identifying power consumption signatures in LTE conformance tests using machine learning.
Proceedings of the 9th IEEE Latin American Symposium on Circuits & Systems, 2018

Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Autonomous Power Management for Embedded Systems Using a Non-linear Power Predictor.
Proceedings of the Euromicro Conference on Digital System Design, 2017

2016
An approach using support vector regression for mobile location in cellular networks.
Comput. Networks, 2016

Optimal power distribution in non-binary LDPC code-based cooperative wireless networks.
Comput. Networks, 2016

A hardware and software Web-based environment for Energy Consumption analysis in mobile devices.
Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016

On the use of nonlinear methods for low-power CPU frequency prediction based on Android context variables.
Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016

2013
On the complexity-performance trade-off in soft-decision decoding for unequal error protection block codes.
EURASIP J. Adv. Signal Process., 2013

2012
Multiuser communication based on the discrete fractional fourier transform.
Proceedings of IEEE International Conference on Communications, 2012

2011
Symbol-Wise Chase Decoding of q-ary Block Codes over BI-AWGN Channels.
IEEE Commun. Lett., 2011

2008
On Frequency Sensitive Competitive Learning for VQ Codebook Design.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

2006
Blockwise noncoherent M-APSK channel: capacity and coding scheme for iterative receivers.
PhD thesis, 2006

2005
Bounds on the capacity of the blockwise noncoherent APSK-AWGN channels.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005


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