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View article: Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification
Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification Open
Electroencephalography (EEG) data acquisition process in Brain-Computer Interfaces (BCIs) is inevitably affected by uncertainty which introduces variability in the data. This variability, often overlooked, affects the training and testing …
View article: Development of a methodology for MEMS accelerometer health state estimation
Development of a methodology for MEMS accelerometer health state estimation Open
The spread of micro electro-mechanical systems (MEMS) in industrial and civil applications that has occurred in recent years is mainly due to the small physical size of these devices and their high robustness and reliability. The diffusion…
View article: A New Health Index for RUL Estimation of MEMS Sensors Using Dimensionality Reduction and Artificial Neural Networks
A New Health Index for RUL Estimation of MEMS Sensors Using Dimensionality Reduction and Artificial Neural Networks Open
The accurate estimation of the Remaining Useful Life (RUL) of Micro-Electro-Mechanical Systems (MEMS) sensors is crucial for enabling effective condition-based maintenance (CBM) and improving system reliability. This is of vital importance…
View article: Design and Characterization of a Powered Wheelchair Autonomous Guidance System
Design and Characterization of a Powered Wheelchair Autonomous Guidance System Open
The current technological revolution driven by advances in machine learning has motivated a wide range of applications aiming to improve our quality of life. Representative of such applications are autonomous and semiautonomous Powered Whe…
View article: Vision-Based System for Measuring the Diameter of Wood Logs
Vision-Based System for Measuring the Diameter of Wood Logs Open
Detecting and measuring objects with vision-based systems in uncontrolled environments is a difficult task that today, thanks to the development of increasingly advanced artificial intelligence-based techniques, can be solved with greater …
View article: A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems
A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems Open
The recent development of highly automated machinery and intelligent industrial plants has increasingly enabled the continuous monitoring of their efficiency and condition, with the aim of maintaining high production efficiency and minimal…
View article: A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning
A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning Open
Precision farming technologies refer to a set of cutting-edge tools and strategies implemented to optimize the management of the plantation. Smart meter devices, Internet of Things (IoT) technologies, and wireless sensor networks (WSNs) ar…
View article: Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology
Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology Open
Brain-on-Chip (BoC) biotechnology is emerging as a promising tool for biomedical and pharmaceutical research applied to the neurosciences. At the convergence between lab-on-chip and cell biology, BoC couples in vitro three-dimensional brai…