All papers submitted to Advances in Data Science and Adaptive Analysis are checked for plagiarism via iThenticate.
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Special Issue on Adaptive Analysis Applied to Biomedical Data
Empirical Mode Decomposition and its Extensions Applied to EEG Analysis: A Review
Catherine M. Sweeney-Reed, Slawomir J. Nasuto, Marcus F. Vieira and Adriano O. Andrade
KurSL: Model of Anharmonic Coupled Oscillations Based on Kuramoto Coupling and Sturm-Liouville Problem
Dawid Laszuk, Jose O. Cadenas and Slawomir J. Nasuto
Chaotic Dynamics in Brain Activity: An Approach Based on Cross-Prediction Errors for Nonstationary Signals
Birajara Soares Machado, André Fonseca, Edgard Morya and Edson Amaro, Jr
Adaptive Spontaneous Brain-Computer Interfaces Based on Software Agents
Javier F. Castillo-Garcia, Eduardo F. Caicedo-Bravo and Teodiano F. Bastos
Nonfatigating Brain-Computer Interface Based on SSVEP and ERD to Command an Autonomous Car
Javier F. Castillo-Garcia, Sandra M¨¹ller, Eduardo F. Caicedo-Bravo, Teodiano F. Bastos and Alberto F. De Souza
Deep Learning of EEG Time-Frequency Representations for Identifying Eye States
Dharmendra Gurve and Sridhar Krishnan
Clustering Parkinson's and Age-Related Voice Impairment Signal Features for Unsupervised Learning
Alice Rueda and Sridhar Krishnan
Continuous Estimation Prediction of Knee Joint Angles Using Fusion of Electromyographic and Inertial Sensors for Active Transfemoral Leg Prostheses
Alberto López-Delis, Cristiano J. Miosso, João L. A. Carvalho, Adson F. da Rocha and Geovany A. Borges