An advanced bio-inspired photoplethysmography (PPG) and ECG pattern recognition system for medical assessment
Physiological signals are widely used to perform medical assessment for monitoring an
extensive range of pathologies, usually related to cardio-vascular diseases. Among these …
extensive range of pathologies, usually related to cardio-vascular diseases. Among these …
Image interpolation via regularized local linear regression
The linear regression model is a very attractive tool to design effective image interpolation
schemes. Some regression-based image interpolation algorithms have been proposed in …
schemes. Some regression-based image interpolation algorithms have been proposed in …
Modified edge-directed interpolation for images
We present a modification of the new edge-directed interpolation method that eliminates the
prediction error accumulation problem by adopting a modified training window structure, and …
prediction error accumulation problem by adopting a modified training window structure, and …
Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow‐up
Traditional methods for early detection of melanoma rely on the visual analysis of the skin
lesions performed by a dermatologist. The analysis is based on the so‐called ABCDE …
lesions performed by a dermatologist. The analysis is based on the so‐called ABCDE …
Advanced skin lesion discrimination pipeline for early melanoma cancer diagnosis towards PoC devices
The proposed work describes an effective pipeline for skin lesion (nevus) analysis with
related oncological outcomes. The increasing statistics of skin cancer have recently …
related oncological outcomes. The increasing statistics of skin cancer have recently …
Processing of electrophysiological signals
Blood pressure signals are reconstructed from PhotoPlethys moGraphy (PPG) signals by:
receiving PPG signals includ ing systolic, diastolic and dicrotic phases; and determining first …
receiving PPG signals includ ing systolic, diastolic and dicrotic phases; and determining first …
Advanced Intelligent deep learning-based system for Robust Driving Assistance
The monitoring of the driver's state of concentration and the risk assessment of driving
scenarios have received the majority of research interest in the area of automotive …
scenarios have received the majority of research interest in the area of automotive …
Saliency-directed color image interpolation using artificial neural network and particle swarm optimization
HY Chen, JJ Leou - Journal of Visual Communication and Image …, 2012 - Elsevier
In this study, a saliency-directed color image interpolation approach using artificial neural
network (ANN) and particle swarm optimization (PSO) is proposed. First, a high-quality …
network (ANN) and particle swarm optimization (PSO) is proposed. First, a high-quality …
Intelligent Optical Microscopy Defects Assessment of Silicon-Carbide Power Modules embedded in Next Generation Electric Cars
In automotive and industrial application domains, the" health monitoring" or predictive
reliability of electronic devices plays a key-role in ensuring reliability of the electrical …
reliability of electronic devices plays a key-role in ensuring reliability of the electrical …
Intelligent Deep Motion Magnification Analysis in Advanced Driving Assistance Systems
Automotive domain is making rapid growth in next generation cars development embedding
higher levels of autonomy and intelligent assistance. Although the general advanced driver …
higher levels of autonomy and intelligent assistance. Although the general advanced driver …