Mostrando 4,141 - 4,160 Resultados de 5,447 Para Buscar '"Computer Science"', tiempo de consulta: 0.37s Limitar resultados
  1. 4141
  2. 4142
  3. 4143
    “…With the rapid growth of computer science and big data, the traditional von Neumann architecture suffers the aggravating data communication costs due to the separated structure of the processing units and memories. …”
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  4. 4144
    por Li, Xin, Tang, Xuli, Lu, Wei
    Publicado 2022
    “…It can also be adopted and improved for other domains, such as physics or computer science, to assess the application value of scientific discoveries.…”
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  5. 4145
    “…The students' academic results were measured by the final grade of the exams from the mathematics course, which were provided by the Department of Computer Science and Engineering at UBT University in Kosovo, where the students of this University were part of this study. …”
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  6. 4146
    “…This poster focuses on the preliminary work of the Collaborative on Aging Research and Engagement (CARE) --- a community academic partnership comprising the CARE Advisory Team (a community action team of 10 African American leaders), Alzheimer’s Association, the Alzheimer’s Association Greater Indiana Chapter, IU Schools of Nursing, Public Health, and Informatics, Computer Science, and Engineering, and the Indiana Alzheimer’s Disease Research Center. …”
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  7. 4147
    “…Recently, artificial intelligence (AI) has been progressively used in the many fields of medicine, integrating knowledge and computer science through machine learning algorithms. AI has the potential to improve infertility diagnosis and ART outcomes estimated as pregnancy and/or live birth rate, especially with recurrent ART failure. …”
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  8. 4148
    “…The complete dataset and code will be released to promote research in the interdisciplinary field of materials science/physics and computer science.…”
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  9. 4149
    “…These findings were largely similar across a range of student and course characteristics and were robust to different analytic approaches; a notable exception was that female student representation had particularly favorable outcomes for female students (relative to male students) within mathematics/statistics and computer science courses.…”
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  10. 4150
    “…This top-down mode of control (as an alternative to bottom-up modification of hardware) has been extensively exploited by computer science and the behavioral sciences; in biology however, it is usually reserved for organism-level behavior in animals with brains, such as training animals towards a desired response. …”
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  11. 4151
    por Malakul, Sivakorn, Park, Innwoo
    Publicado 2023
    “…To that aim, 79 Thai secondary school students from three Mathayom 5 (Grade 11) computer science classrooms participated in this study. …”
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  12. 4152
    “…To support the management and analysis of these data, two techniques from computer science are of interest, namely Named Entity Recognition (NER) and Relation Extraction (RE). …”
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  13. 4153
    “…The progress that has been made in computer science positioned in silico studies as an important and well-recognized methodology in the drug discovery and development process. …”
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  14. 4154
    “…A literature search and qualitative content analysis of 255 articles from computer science and engineering was conducted to explore the usage of ethical concepts. …”
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  15. 4155
    “…The main outcome of our research is that female students, which study in the field of STEM in particular computer science, are trustworthy and autonomous students who can outperform their male counterparts during traditional courses, where during online courses male students still exceed slightly female students. …”
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  16. 4156
    por Liu, Jun S
    Publicado 2008
    “…This paperback edition is a reprint of the 2001 Springer edition This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians It can also be used as the textbook for a graduate-level course on Monte Carlo methods Many problems discussed in the alter chapters can be potential thesis topics for masters’ or PhD students in statistics or computer science departments Jun Liu is Professor of Statistics at Harvard University, with a courtesy Professor appointment at Harvard Biostatistics Department Professor Liu was the recipient of the 2002 COPSS Presidents' Award, the most prestigious one for statisticians and given annually by five leading statistical associations to one individual under age 40 He was selected as a Terman Fellow by Stanford University in 1995, as a Medallion Lecturer by the Institute of Mathematical Statistics (IMS) in 2002, and as a Bernoulli Lecturer by the International Bernoulli Society in 2004 He was elected to the IMS Fellow in 2004 and Fellow of the American Statistical Association in 2005 He and co-workers have published more than 130 research articles and book chapters on Bayesian modeling and computation, bioinformatics, genetics, signal processing, stochastic dynamic systems, Monte Carlo methods, and theoretical statistics "An excellent survey of current Monte Carlo methods The applications amply demonstrate the relevance of this approach to modern computing The book is highly recommended" (Mathematical Reviews) "This book provides comprehensive coverage of Monte Carlo methods, and in the process uncovers and discusses commonalities among seemingly disparate techniques that arose in various areas of application … The book is well organized; the flow of topics follows a logical development … The coverage is up-to-date and comprehensive, and so the book is a good resource for people conducting research on Monte Carlo methods … The book would be an excellent supplementary text for a course in scientific computing … " (SIAM Review) "The strength of this book is in bringing together advanced Monte Carlo (MC) methods developed in many disciplines … Throughout the book are examples of techniques invented, or reinvented, in different fields that may be applied elsewhere … Those interested in using MC to solve difficult problems will find many ideas, collected from a variety of disciplines, and references for further study" (Technometrics)…”
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  17. 4157
    por Krämer, Jürgen, Grotz, Stephan
    Publicado 2013
    “…He holds a PhD with honors in Computer Science from University of Marburg and received a scholarship from the German Federal Ministry of Economics and Technology and an executive education from the European Business School.…”
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  18. 4158
    por O'Mullane, William
    Publicado 2015
    “…His background is in Computer Science and Astronomy, he edits the Elsevier Journal "Astronomy and Computing".…”
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  19. 4159
    por Tsaklidis, Ilias
    Publicado 2023
    “…Firstly to illustrate the reasons that Graph Neural Networks are powerful deep learning tools and secondly to present the minimal background required to engage with computer science literature and successfully apply established technologies to High Energy Physics research.…”
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  20. 4160
    “…Combined with the recent advancements in computer science, applications of deep learning techniques in medical image analysis have shown promising results, demonstrating that artificial intelligence-based solutions can accelerate the diagnosis of COVID-19 and lower the burden on healthcare professionals. …”
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