| A proposal for path loss prediction in urban environments using support vector regression RDA Timoteo, DC Cunha, GDC Cavalcanti The Tenth Advanced International Conference on Telecommunications (AICT 2014), 2014 | 34 | 2014 |
| An approach using support vector regression for mobile location in cellular networks RDA Timoteo, LN Silva, DC Cunha, GDC Cavalcanti Elsevier Computer Networks 95, 51-61, 2016 | 22 | 2016 |
| On the use of nonlinear methods for low-power CPU frequency prediction based on Android context variables SAL Carvalho, DC Cunha, AG Silva-Filho 2016 IEEE 15th International Symposium on Network Computing and Applications …, 2016 | 6 | 2016 |
| Autonomous power management in mobile devices using dynamic frequency scaling and reinforcement learning for energy minimization SAL Carvalho, DC Cunha, AG Silva-Filho Microprocessors and Microsystems 64, 205-220, 2019 | 5 | 2019 |
| A Proposal of an RF Fingerprint-based Outdoor Localization Technique using Irregular Grid Maps GP Bittencourt, AAF Urbano, DC Cunha IEEE Wireless Communications and Networking Conference (WCNC 2018), 2018 | 5 | 2018 |
| A Hybrid Machine Learning Approach for Mobile User Positioning in Cellular Networks RDA Timoteo, LN Silva, DC Cunha, GDC Cavalcanti XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT …, 2017 | 5 | 2017 |
| Autonomous Power Management for Embedded Systems using a Non-Linear Power Predictor SAL Carvalho, DC Cunha, AG Silva-Filho Euromicro on Digital System Design (DSD 2017), 2017 | 5 | 2017 |
| Symbol-wise chase decoding of q-ary block codes over bi-awgn channels DC Cunha, J Portugheis, VV do Nascimento IEEE Communications Letters 15 (2), 229-231, 2011 | 5 | 2011 |
| An RSS-based regression model for user equipment location in cellular networks using machine learning LL Oliveira, LA Oliveira Jr, GWA Silva, RDA Timoteo, DC Cunha Springer Wireless Networks (2019), 1-10, 2019 | 4 | 2019 |
| Multiuser communication based on the discrete fractional Fourier transform JB Lima, RMC de Souza, DC Cunha 2012 IEEE International Conference on Communications (ICC), 3569-3570, 2012 | 4 | 2012 |
| Uma alternativa de aceleração do algoritmo fuzzy K-Means aplicado à quantização vetorial F Madeiro, RRA Galvão, FABS Ferreira, DC Cunha TEMA (São Carlos) 13 (2), 193-206, 2012 | 3 | 2012 |
| On frequency sensitive competitive learning for VQ codebook design PHE Santo, RC Albuquerque, DC Cunha, F Madeiro 2008 10th Brazilian Symposium on Neural Networks, 135-140, 2008 | 3 | 2008 |
| Iterative decoding of q-ary product turbo codes in FFH-CDMA systems VV do Nascimento, J Portugheis, DC Cunha Signal Processing Advances in Wireless Communications, 2008. SPAWC 2008 …, 2008 | 3 | 2008 |
| Optimal power distribution in non-binary LDPC code-based cooperative wireless networks BLR Melo, DC Cunha, C Pimentel Elsevier Computer Networks 100, 157-165, 2016 | 2 | 2016 |
| An evaluation of the generalized Chase-2 algorithm applied to unequal error protection block codes RC Albuquerque, DC Cunha, C Pimentel Communications (LATINCOM), 2011 IEEE Latin-American Conference on, 1-6, 2011 | 2* | 2011 |
| Capacity of blockwise noncoherent M-APSK/AWGN channel DC Cunha, J Portugheis Electronics Letters 42 (14), 816-817, 2006 | 2 | 2006 |
| Canal M-APSK não-coerente de bloco: capacidade e proposta de codificação para receptores iterativos DC Cunha [sn], 2006 | 2 | 2006 |
| Bounds on the capacity of the blockwise noncoherent APSK-AWGN channels DC Cunha, J Portugheis Proceedings. International Symposium on Information Theory, 2005. ISIT 2005 …, 2005 | 2 | 2005 |
| Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems DM Almeida, PSG Mattos Neto, DC Cunha IEEE International Joint Conference on Neural Networks (IJCNN 2018), 2018 | 1 | 2018 |
| Identifying Power Consumption Signatures in LTE Conformance Tests using Machine Learning SAL Carvalho, LMF Harada, RN Lima, CMA Barbosa, DC Cunha, ... 9th IEEE Latin American Symposium on Circuits and Systems (LASCAS 2018), 2018 | 1 | 2018 |
Robson Dias Alves TimoteoPhD, Federal University of PernambucoDirección de correo verificada de cin.ufpe.br
