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Article
Open AccessHierarchical registration method for surface quality inspection of long products
Manufacturing industry often uses 3D scanning technologies to inspect their products. Some of these techniques produce a point cloud that represent a section of the manufactured product. The clouds must be ali...
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Article
Fast data-independent KLT approximations based on integer functions
The Karhunen-Loève transform (KLT) stands as a well-established discrete transform, demonstrating optimal characteristics in data decorrelation and dimensionality reduction. Its ability to condense energy comp...
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Article
Open AccessRegularising Inverse Problems with Generative Machine Learning Models
Deep neural network approaches to inverse imaging problems have produced impressive results in the last few years. In this survey paper, we consider the use of generative models in a variational regularisation...
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Article
The Radial Point Interpolation Method combined with a bi-directional structural topology optimization algorithm
Projecting reduced-weight components with increased performance is a continuous engineering challenge, especially in the aircraft industry, where fuel consumption, emissions, and performance are highly depende...
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Article
Cost-effective learning-based strategies for test case prioritization in continuous integration of highly-configurable software
Highly-Configurable Software (HCSs) testing is usually costly, as a significant number of variants need to be tested. This becomes more problematic when Continuous Integration (CI) practices are adopted. CI le...
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Article
Open AccessA simulator for both manual and powered wheelchairs in immersive virtual reality CAVE
A large number of people in the world need to use a wheelchair because of different disabilities. Driving a wheelchair requires complex physical and cognitive abilities which need to be trained. Virtual traini...
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Chapter and Conference Paper
A MCDA/GIS-Based Approach for Evaluating Accessibility to Health Facilities
Access to health care services is a key concept in the formulation of health policies to improve the population’s health status and to mitigate inequities in health. Previous studies have significantly enhance...
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Article
Open AccessCNN-based framework using spatial drop** for enhanced interpretation of neural activity in motor imagery classification
Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hinde...
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Chapter and Conference Paper
CNNs for Fine-Grained Car Model Classification
This paper describes an end-to-end training methodology for CNN-based fine-grained vehicle model classification. The method relies exclusively on images, without using complicated architectures. No extra annot...
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Chapter and Conference Paper
Design of a Glove Controlled by Electromyographic Signals for the Rehabilitation of Patients with Rheumatoid Arthritis
Among the various systemic disorders that hands can suffer, rheumatoid arthritis is one of the most common. This disease affects the synovial tissue of the joints, making extension and flexion movements diffic...
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Chapter and Conference Paper
License Plate Corners Localization Using CNN-Based Regression
In this work, we tackle the problem of vehicle license plate localization in traffic images. Rather than modeling the appearance of the license plate, we propose to model the appearance of the corners of the l...
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Chapter and Conference Paper
Early Breast Cancer Detection by Using a Sensor-Antenna
In the last decades, the early detection of cancer has motivated many researches works because these increases the possibilities of survival of patients and positive responses to different treatments. Particul...
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Chapter
Cybersecurity Vulnerabilities in Biomedical Devices: A Hierarchical Layered Framework
Any biomedical device requiring power from a source other than the human body or gravity is considered an active device. Currently available active biomedical devices encompass an enormous variety of technolog...
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Chapter and Conference Paper
Internet of Things for Irrigation System
Technological advances have impacted in recent years most of the economic sectors of the world, where they have managed to increase efficiency and profitability particularly with one of the fastest growing app...
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Chapter and Conference Paper
Machine Learning to Estimate the Amount of Training to Learn a Motor Skill
Machine Learning (ML) has been widely and successfully employed in ...
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Chapter and Conference Paper
EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems
Brain-Computer Interfaces bridge the communication between brains and devices. Channel selection as a stage for develo** BCI systems allows reducing costs and improve the overall performance. This paper prop...
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Chapter and Conference Paper
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
The shape of an object is an important characteristic for many vision problems such as segmentation, detection and tracking. Being independent of appearance, it is possible to generalize to a large range of ob...
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Article
A Generative Model of Cognitive State from Task and Eye Movements
The early eye tracking studies of Yarbus provided descriptive evidence that an observer’s task influences patterns of eye movements, leading to the tantalizing prospect that an observer’s intentions could be i...
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Chapter and Conference Paper
Application of an Effective Methodology forAnalysis of Fragility and Its Components inthe Elderly
Fragility is a syndrome characterized by reduced physical and cognitive reserves making the elderly more vulnerable to adverse events, hospitalizations, falls, loss of independence, and death. Inertia sensors ...
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Chapter and Conference Paper
Comparative Analysis Between Embedded-Spaces-Based and Kernel-Based Approaches for Interactive Data Representation
This work presents a comparative analysis between the linear combination of em-bedded spaces resulting from two approaches: (1) The application of dimensional reduction methods (DR) in their standard implement...