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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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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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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...
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Chapter and Conference Paper
Generalized Low-Computational Cost Laplacian Eigenmaps
Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and may represent a preprocessing stage or be an essential element for the representation and classification of dat...
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Chapter and Conference Paper
Managing Service Parts for Discontinued Products: An Action Research Approach
The management of service parts inventories in the post- product life cycle is an issue that has often been ignored by companies, resulting in additional problems that may negatively affect their reputation. ...
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Chapter and Conference Paper
Data Visualization Using Interactive Dimensionality Reduction and Improved Color-Based Interaction Model
This work presents an improved interactive data visualization interface based on a mixture of the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The user can input the mixture...
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Chapter and Conference Paper
Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations
This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, w...
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Chapter and Conference Paper
Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations
This work presents a new interactive data visualization approach based on mixture of the outcomes of dimensionality reduction (DR) methods. Such a mixture is a weighted sum, whose weighting factors are defined...
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Chapter and Conference Paper
The Global Digital Mathematics Library and the International Mathematical Knowledge Trust
We recall some of the reasons why we want and do not yet have a Global Digital Mathematics Library (GDML), both before and after the setting up of a GDML WG at the Seoul 2014 ICM. The recent founding of an Int...
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Chapter and Conference Paper
User Directed Multi-view-stereo
Depth reconstruction from video footage and image collections is a fundamental part of many modelling and image-based rendering applications. However real-world scenes often contain limited texture information...
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Chapter and Conference Paper
Kernel-Based Feature Relevance Analysis for ECG Beat Classification
The analysis of Electrocardiogram (ECG) records for arrhythmia classification favors the develo** of aid diagnosis systems. However, current devices provide large amounts of data being necessary the developm...