Penile cancer, although rare, has an increasing mortality rate in Brazil, highlighting the need for effective diagnostic methods. Artificial Intelligence (AI) in histopathological analysis can speed up and objectify d...
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Penile cancer, although rare, has an increasing mortality rate in Brazil, highlighting the need for effective diagnostic methods. Artificial Intelligence (AI) in histopathological analysis can speed up and objectify d...
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Penile cancer, although rare, has an increasing mortality rate in Brazil, highlighting the need for effective diagnostic methods. Artificial Intelligence (AI) in histopathological analysis can speed up and objectify diagnosis, but designing an ideal architecture is challenging. In this study, we propose a neural architecture search (NAS) methodology for detecting penile cancer in digital histopathology images. We explored different configurations of stem blocks and the inclusion of attention mechanisms, highlighting specific preferences depending on the magnification of the images. The results showed that the NAS methodology enabled the discovery of more accurate and optimized architectures for this task, surpassing conventional models. The proposed models achieve 89.5% and 88.5% F1-Score for 40X and 100X magnification, respectively.
Thermal comfort is essential for maintaining physiological well-being, with textile materials traditionally serving as the primary medium for regulating heat exchange between the body and its environment. However, con...
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Thermal comfort is essential for maintaining physiological well-being, with textile materials traditionally serving as the primary medium for regulating heat exchange between the body and its environment. However, conventional textiles often fall short of maintaining optimal thermal balance. So, there is an increasing demand for advanced thermoregulation systems that can effectively reduce heat loss and enhance warmth, ensuring consistent comfort. Recent research has highlighted the promise of advanced functional materials, especially graphene and its composites, for modifying textiles to improve thermal properties. This article comprehensively reviews recent advancements in graphene-functionalized textile composites, focusing on their applications in wearable Joule heaters designed for personalized thermal comfort or thermal therapy. Various graphene-functionalized textile composites are reviewed from the perspectives of material properties, processing strategies and device fabrication methods. Key challenges and future opportunities are summarized for graphene-functionalized textile-based Joule heaters as innovative solutions in wearable thermal regulation.
In this paper, we propose HiPoNet, an end-to-end differentiable neural network for regression, classification, and representation learning on high-dimensional point clouds. Single-cell data can have high dimensionalit...
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This paper presents an intelligent virtual environment, called AdapTIVE (Adaptive Three-dimensional Intelligent and Virtual Environment), which has its structure and presentation customized according to users' int...
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In this article we develop a Physics Informed Neural Network (PINN) approach to simulate ice sheet dynamics governed by the Shallow Ice Approximation. This problem takes the form of a time-dependent parabolic obstacle...
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A smart urban mobility considers the technological-based development in transport systems, services and their use to improve the movement of people and goods inter or intra-cities. Cities increasingly face problems ca...
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The Lattes Platform is an online database of academical records. It is used by the research and educational community of Brazil (and some other countries), being of great value for identification of researchers and th...
The Lattes Platform is an online database of academical records. It is used by the research and educational community of Brazil (and some other countries), being of great value for identification of researchers and their relationships with other researchers and, for that, it can be considered a specialized kind of social network. In spite of its usefulness, the main interface of access to its data does not allow any type of analysis, just basic reports. In this paper, we present a new tool and approach to analysis of groups of records from the Lattes Platform which is simpler and more flexible than other similar tools proposed in the past.
Distributed applications rely on Certification Authorities (CAs) entities associated with a few institutions around the world. There are countless trusted institutions on the networks, e.g., universities, governments,...
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Grid systems are large-scale platforms which consume a considerable amount of energy. Several efficient resource/power management strategies were proposed by the specialized literature. However, most of the proposed s...
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