Non INESC TEC publications - Book Chapters

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Browsing Non INESC TEC publications - Book Chapters by Title

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    Automatic Analysis of Scanning Laser Ophthalmoscope Sequences for Arteriovenous Passage Time Measurement
    ( 2014) Marino,C ; Ortega,M ; Novo,J ; Beatriz Remeseiro López ; Fernandez,A ; Gomez-Ulla,F
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    Automatization of Dry Eye Syndrome Tests
    ( 2014) Penedo,M ; Beatriz Remeseiro López ; Ramos,L ; Barreira,N ; García-Resúa,C ; Yebra-Pimentel,E ; Mosquera,A
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    Business Benefits of Licensed Shared Access (LSA) for Key Stakeholders
    ( 2015) Matinmikko,M ; Okkonen,H ; Yrjölä,S ; Ahokangas,P ; Mustonen,M ; Palola,M ; Vânia Guiomar Gonçalves ; Kivimäki,A ; Luttinen,E ; Kemppainen,J
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    Cyst Detection in OCT Images for Pathology Characterization
    ( 2014) González,A ; Beatriz Remeseiro López ; Ortega,M ; Penedo,M ; Charlón,P
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    Desiring Machines and Affective Virtual Environments
    ( 2023) Forero,J ; Gilberto Bernardes Almeida ; Mendes,M ; 6231
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    Dry Eye Characterization by Analyzing Tear Film Images
    ( 2014) Beatriz Remeseiro López ; Penedo,M ; García-Resúa,C ; Yebra-Pimentel,E ; Mosquera,A
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    Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare
    ( 2022) Costa,T ; Coelho,L ; Manuel Santos Silva ; 5655
    Technological evolution has allowed that tasks, usually performed by humans, can now be performed accurately by automated systems, often with superior performance. The healthcare area has been paradigmatic in the automation of processes, as the need to optimize costs, ensuring the provision of quality care, is crucial for the success of organizations. Diabetes, whose prevalence has increased significantly in the last decade, could be a case of application of several technologies that facilitate diagnosis, tracking and monitoring. Such tasks demand a great effort from health systems, requiring the allocation of material, human and financial resources, under penalty of worsening symptoms and emergence of serious complications. In this chapter the authors will present and explore how different technologies can be integrated to provide better healthcare, ensuring quality and safety standards, with reference to the case of diabetes.
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    Machine Learning Applied to Optometry Data
    ( 2018) Beatriz Remeseiro López ; Barreira,N ; Sánchez Brea,L ; Ramos,L ; Mosquera,A
    Optometry is the primary health care of the eye and visual system. It involves detecting defects in vision, signs of injury, ocular diseases as well as problems with general health that produce side effects in the eyes. Myopia, presbyopia, glaucoma or diabetic retinopathy are some examples of conditions that optometrists usually diagnose and treat. Moreover, there is another condition that we have all experienced once in a while, especially if we work with computers or have been exposed to smoke or wind. Dry eye syndrome (DES) is a hidden multifactorial disease related with the quality and quantity of tears. It causes discomfort and could lead to severe visual problems. In this chapter, we explain how machine learning techniques can be applied in some DES medical tests in order to produce an objective, repeatable and automatic diagnosis. The results of our experiments show that the proposed methodologies behave like the experts so that they can be applied in the daily practice. © Springer International Publishing AG 2018.
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    On the feasibility of byzantine agreement to secure fog/edge data management
    ( 2021) Houssam Ahmad Yactin ; Shoker,A ; 6717
    Fog/Edge computing improves the latency and security of data by keeping storage and computation close to the data source. Nevertheless, this raises other security challenges against malicious, a.k.a, Byzantine, attacks that can exploit the isolation of nodes, or when access to distributed data is required in untrusted environments. In this work, we study the feasibility of deploying Byzantine Agreement protocols to improve the security of fog/edge systems in untrusted environments. In particular, we explore existing Byzantine Agreement protocols, heavily developed in the Blockchain area, emphasizing the Consistency, Availability, and Partition-Tolerance tradeoffs in a geo-replicated system. Our work identifies and discusses three different approaches that follow the Strong Consistency, Eventual Consistency, and Strong Eventual Consistency models. Our conclusions show that Byzantine Agreement protocols are still immature to be used by fog/edge computing in untrusted environment due to their high finality latency; however, they are promising candidates that encourage further research in this direction. © 2021, Springer Nature Switzerland AG.
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    Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition
    ( 2015) Adrian Galdran ; Picón,A ; Garrote,E ; Pardo,D
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    Performance assessment of children and youth households
    ( 2015) Maria Clara Vaz ; Alves,J ; Mendes,I
    This study purposes a Data Envelopment Analysis (DEA) framework to assess the performance of Non-Profit Organizations that look after children and young people. The DEA method is used to assess the managerial efficiency of eight institutions from Bragança district, since 2010 to 2013. The model evaluates each institution concerning the reduction of operational and staff costs incurred in providing social services to the number of users observed in each unit. A fair policy for the allocation of subsidies is designed according to the performance of institutions in order to support the regulator.
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    Scaling Exponents in Heart Rate Variability
    ( 2013) Argentina Leite ; Silva,ME ; Rocha,AP
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    The Singing Bridge: Sonification of a Stress-Ribbon Footbridge
    ( 2023) Torresan,C ; Gilberto Bernardes Almeida ; Caetano,E ; Restivo,T ; 6231
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    A Variational Framework for Single Image Dehazing
    ( 2015) Adrian Galdran ; Vazquez-Corral,J ; Pardo,D ; Bertalmío,M