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2461por Young, Sean D“…This commentary describes how recent advances in computer science, psychology, and medicine enable social media data to become a new health “vital sign,” as well as actionable steps that public health officials, health systems, and clinics can take to integrate social data into both public and population health as well as into individual patient care. …”
Publicado 2018
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2462por Mehrali, Mehdi, Bagherifard, Sara, Akbari, Mohsen, Thakur, Ashish, Mirani, Bahram, Mehrali, Mohammad, Hasany, Masoud, Orive, Gorka, Das, Paramita, Emneus, Jenny, Andresen, Thomas L., Dolatshahi‐Pirouz, Alireza“…At the crossroads of chemistry, electronics, mechanical engineering, polymer science, biology, tissue engineering, computer science, and materials science, electrical devices are currently being engineered that blend directly within organs and tissues. …”
Publicado 2018
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2463“…Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. …”
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2464“…With the evolution of computer science, multiple areas experienced an increase in productivity with the implementation of new technical solutions. …”
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2465“…The analysis of equilibrium points is of great importance in evolutionary game theory with numerous practical ramifications in ecology, population genetics, social sciences, economics and computer science. In contrast to previous analytical approaches which primarily focus on computing the expected number of internal equilibria, in this paper we study the distribution of the number of internal equilibria in a multi-player two-strategy random evolutionary game. …”
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2466“…INTRODUCTION: The radiological reading room is undergoing a paradigm shift to a symbiosis of computer science and radiology using artificial intelligence integrated with machine and deep learning with radiomics to better define tissue characteristics. …”
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2467“…In recent years, with the development of computer science, deep learning is held as competent enough to solve the problem of inference and learning in high dimensional space. …”
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2468“…This work is distinctive because of the proposed new age-friendly framework, and the work presented in this paper contributes to the fields of gerontology, geography urban and development, computer science, and gerontechnology.…”
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2469por Rincon, Jaime A., Costa, Angelo, Novais, Paulo, Julian, Vicente, Carrascosa, Carlos“…With this in mind, there are now new solutions in this direction, which try to make use of the continuous advances in computer science. This paper tries to advance in this area by proposing the use of a personal assistant to help older people at home while carrying out their daily activities. …”
Publicado 2020
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2470por Baldwin, Edwin, Han, Jiali, Luo, Wenting, Zhou, Jin, An, Lingling, Liu, Jian, Zhang, Hao Helen, Li, Haiquan“…Fusion-based analysis has advanced rapidly in the past decade, thanks to application drivers and theoretical breakthroughs in mathematics, statistics, and computer science. We will briefly address these methods from methodological and mathematical perspectives and categorize them into three types of approaches: data fusion (a narrowed definition as compared to the general data fusion concept), model fusion, and mixed fusion. …”
Publicado 2020
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2471“…An agent-based approach is evaluated for its applicability as a new modeling technology in the emerging area of Computational Epidemiology, a research domain that attempts to synergistically unite the fields of Computer Science and Epidemiology. A primary concern of epidemiologists is investigating the spread of infectious diseases. …”
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2472“…Walks around a graph are studied in a wide range of fields, from graph theory and stochastic analysis to theoretical computer science and physics. In many cases it is of interest to focus on non-backtracking walks; those that do not immediately revisit their previous location. …”
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2473por Mohapatra, Dattatreya, Pal, Siddharth, De, Soham, Kumaraguru, Ponnurangam, Chakraborty, Tanmoy“…Experimental results on the real-world citation networks of Computer Science and Physics domains show that our proposed models can better explain the temporal behavior of citation networks than existing models.…”
Publicado 2020
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2474“…Research about sustainability in computer science aims to offer methods, techniques and tools to lessen the impact of new technologies on the environment, to offer a better world, a smarter life, to the next generations. …”
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2475por Jarke, Matthias“…The second part will more deeply explore our current interdisciplinary research in a visionary “Internet of Production” with 27 research groups from production and materials engineering, computer science, business and social sciences. In this setting, massive amounts of heterogeneous data must be exchanged and analyzed across organizational and disciplinary boundaries, throughout the lifecycle from (re-)engineering, to production, usage and recycling, under hard resource and time constraints. …”
Publicado 2020
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2476“…The transformation of graphs and graph-like structures is ubiquitous in computer science. When a system is described by graph-transformation rules, it is often desirable that the rules are both terminating and confluent so that rule applications in an arbitrary order produce unique resulting graphs. …”
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2477Examining Students’ Intrinsic Cognitive Load During Program Comprehension – An Eye Tracking Approach“…Thirty one students of computer science took part in the experiment. They analyzed two program codes written in the C++ language to search for (1) logical errors (LER) and (2) syntax errors (SER). …”
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2478por López-Meneses, Eloy, Vázquez-Cano, Esteban, González-Zamar, Mariana-Daniela, Abad-Segura, Emilio“…The articles are mainly associated with the thematic areas of Social Sciences, Psychology, Medicine and Computer Science. Seven main thematic axes have been detected, highlighting those related to the psychological aspect, adolescence, and the school environment. …”
Publicado 2020
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2479“…But the management of CBK comes with a range of significant computer science challenges. Some of these have been suitably addressed through the development of CBK methods and tools, while others require further research and development. …”
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2480“…Making effective detection systems for abusive content relies on having the right training datasets, reflecting a widely accepted mantra in computer science: Garbage In, Garbage Out. However, creating training datasets which are large, varied, theoretically-informed and that minimize biases is difficult, laborious and requires deep expertise. …”
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