Bounds on the capacity of the blockwise noncoherent APSK-AWGN channels. - Daniel C. Cunha 001; Jaime Portugheis (ISIT, 2005)

Blockwise noncoherent M-APSK channel: capacity and coding scheme for iterative receivers. - Daniel Carvalho da Cunha (2006)

On Frequency Sensitive Competitive Learning for VQ Codebook Design. - P. H. Espírito Santo; R. C. Albuquerque; Daniel Carvalho da Cunha; Francisco Madeiro (SBRN, 2008)

Symbol-Wise Chase Decoding of q-ary Block Codes over BI-AWGN Channels. - Daniel C. Cunha 001; Jaime Portugheis; Vagner Vale do Nascimento (IEEE Commun. Lett., 2011)

Multiuser communication based on the discrete fractional fourier transform. - Juliano B. Lima; Ricardo M. Campello de Souza; Daniel C. Cunha 001 (ICC, 2012)

On the complexity-performance trade-off in soft-decision decoding for unequal error protection block codes. - Rebecca C. de Albuquerque; Daniel C. Cunha 001; Cecilio Pimentel (EURASIP J. Adv. Signal Process., 2013)

On the use of nonlinear methods for low-power CPU frequency prediction based on Android context variables. - Sidartha A. L. Carvalho; Daniel C. Cunha 001; Abel G. Silva-Filho (NCA, 2016)

A hardware and software Web-based environment for Energy Consumption analysis in mobile devices. - Sidartha A. L. Carvalho; Rafael N. Lima; Daniel C. Cunha 001; Abel G. Silva-Filho (NCA, 2016)

Optimal power distribution in non-binary LDPC code-based cooperative wireless networks. - Bruna L. R. Melo; Daniel C. Cunha 001; Cecilio Pimentel (Comput. Networks, 2016)

An approach using support vector regression for mobile location in cellular networks. - Robson D. A. Timoteo; Lizandro N. Silva; Daniel C. Cunha 001; George D. C. Cavalcanti (Comput. Networks, 2016)

Autonomous Power Management for Embedded Systems Using a Non-linear Power Predictor. - Sidartha A. L. Carvalho; Daniel C. Cunha 001; Abel Guilhermino da Silva Filho (DSD, 2017)

Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems. - Diogo M. Almeida; Paulo S. G. de Mattos Neto; Daniel C. Cunha 001 (IJCNN, 2018)

Identifying power consumption signatures in LTE conformance tests using machine learning. - Sidartha A. L. Carvalho; Lucas M. F. Harada; Rafael N. Lima; Carolina M. A. Barbosa; Daniel C. Cunha 001; Abel G. Silva-Filho (LASCAS, 2018)

A proposal of an RF fingerprint-based outdoor localization technique using irregular grid maps. - Gustavo P. Bittencourt; Anderson A. F. Urbano; Daniel C. Cunha 001 (WCNC, 2018)

A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems. - Robson D. A. Timoteo; Daniel C. Cunha 001; Paulo S. G. de Mattos Neto (FLAIRS, 2019)

Autonomous power management in mobile devices using dynamic frequency scaling and reinforcement learning for energy minimization. - Sidartha A. L. Carvalho; Daniel C. Cunha 001; Abel G. Silva-Filho (Microprocess. Microsystems, 2019)

An RSS-based regression model for user equipment location in cellular networks using machine learning. - L. L. Oliveira; L. A. Oliveira Jr.; Gabriel W. A. Silva; Robson D. A. Timoteo; Daniel C. Cunha 001 (Wirel. Networks, 2019)

A scalable fingerprint-based angle-of-arrival machine learning approach for cellular mobile radio localization. - Robson D. A. Timoteo; Daniel C. Cunha 001 (Comput. Commun., 2020)

A cost-effective trilateration-based radio localization algorithm using machine learning and sequential least-square programming optimization. - João Paulo P. G. Marques; Daniel C. Cunha 001; Lucas M. F. Harada; Lizandro N. Silva; Igor D. Silva (Comput. Commun., 2021)

Generation of irregular grid maps for fingerprinting-based mobile radio localization using farthest-first traversal and low-discrepancy sequences. - Gustavo P. Bittencourt; João Paulo P. G. Marques; Daniel C. Cunha 001 (Comput. Commun., 2023)

A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting. - Diogo M. Almeida; Paulo S. G. de Mattos Neto; Daniel C. Cunha 001 (BRACIS (1), 2024)

A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series. - Diogo M. Almeida; Paulo S. G. de Mattos Neto; Daniel Carvalho da Cunha (HAIS (2), 2024)

Proposal of a Memory-Based Ensemble Particle Swarm Optimizer. - Lizandro Nunes da Silva; Daniel Carvalho da Cunha; Raul Vitor Silva Barreto; Robson Dias Alves Timoteo (ICSI (1), 2024)