2016 – Neuronica Labs

S.Narejo, E.Pasero, F.Kulsoom, “EEG Based Eye State Classification using Deep Belief Network and Stacked AutoEncoder”, International Journal of Electrical and Computer Engineering, DOI: http://dx.doi.org/10.11591/ijece.v6i6.12967
K.Aliev, F.Rugiano, E.Pasero, “Smartphone and Bluetooth Smart Sensor Usage in IoT Applications”, Sensors & Transducer, URL: http://www.sensorsportal.com/HTML/DIGEST/P_2828.htm
S.Narejo, E.Pasero, “Time Series Forecasting for Outdoor Temperature using Nonlinear Autoregressive Neural Network Models”, Journal of Theoretical and Applied Information Technology, URL: http://www.jatit.org/volumes/Vol94No2/20Vol94No2.pdf

E.Pasero, “Advances in Neural Networks – Computational Intelligence for ICT”, Springer, http://dx.doi.org/10.1007/978-3-319-33747-0
A.Esposito, S.Bassis, F.C.Morabito, E.Pasero, “Some notes on computational and theoretical issues in artificial intelligence and machine learning”, Springer, http://dx.doi.org/10.1007/978-3-319-33747-0_1
L.Mesin, E.Pasero, “A low cost ECG biometry system based on an ensemble of support vector machine classifiers”, Springer, http://dx.doi.org/10.1007/978-3-319-33747-0_42

K.Aliev, F.Rugiano, E.Pasero, “The Use of Bluetooth Low Energy Smart Sensor for Mobile Devices Yields an Efficient Level of Power Consumption”, The First International Conference on Advances in Sensors, Actuators, Metering and Sensing, http://www.thinkmind.org/index.php?view=article&articleid=allsensors_2016_2_20_70042
S.Narejo, E.Pasero, “A Hybrid Approach for Time Series Forecasting Using Deep Learning and Nonlinear Autoregressive Neural Networks”, INTELLI 2016 : The Fifth International Conference on Intelligent Systems and Applications, https://www.thinkmind.org/index.php?view=article&articleid=intelli_2016_3_30_60116