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1 - 10 of 61
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 Deep learning and physics
Tanaka A., Tomiya A., Hashimoto K., Springer International Publishing, New York, NY, 2021. 220 pp. Type: Book (978-9-813361-07-2)
Machine learning (ML) and particularly deep learning (DL) are used in various physics studies. In this book, the authors show how. They begin by discussing the attributes and theory of ML and its apparent similarities in form to theories in physic...
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Feb 16 2023 |
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Decision making and problem solving: a practical guide for applied research
Mohanty S., Springer International Publishing, Cham, Switzerland, 2021. 124 pp. Type: Book (978-3-030668-68-6)
The objective of the book as declared on its back cover: “The book offers guidance in identifying and applying accurate methods for designing a strategy as well as implementing these strategies in a real world.” The book’s seven ...
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Sep 6 2022 |
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The long road ahead to transition to post-quantum cryptography
LaMacchia B. Communications of the ACM 65(1): 28-30, 2022. Type: Article
In this article, the author asserts the following:...
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Jul 14 2022 |
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Process mining in action: principles, use cases and outlook
Reinkemeyer L., Springer International Publishing, New York, NY, 2020. 229 pp. Type: Book (978-3-030401-71-9)
Process mining in action is an edited collection of papers on process mining. The papers are divided into three parts. The book should interest academics, executives, and professionals with an interest in the topic....
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Oct 13 2021 |
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Exploring advanced features in C#: enhance your code and productivity
Strauss D., Apress, New York, NY, 2019. 308 pp. Type: Book (978-1-484248-55-3), Reviews: (1 of 2)
In the 2000s, Microsoft designed and published C# in an open forum platform. The aim was to capture features of object-oriented languages like C++ and integrate with the .NET platform. Since then, it has evolved along with .NET. This v...
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Jul 17 2021 |
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Automated machine learning: methods, systems, challenges
Hutter F., Kotthoff L., Vanschoren J., Springer International Publishing, New York, NY, 2019. 219 pp. Type: Book (978-3-030053-17-8)
A dataset, generically speaking, is a collection of numbers. It constitutes an information element when structure and context are assigned. The objective of machine learning (ML) is to interpret an information element as a human would....
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Jun 14 2021 |
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A real-time framework for task assignment in hyperlocal spatial crowdsourcing
Tran L., To H., Fan L., Shahabi C. ACM Transactions on Intelligent Systems and Technology 9(3): 1-26, 2018. Type: Article
Hyperspatial crowdsourcing is a low-cost methodology that uses capable individuals, located in the vicinity of task location, to acquire fine-grain data for spatially distributed tasks. However, it is constrained by the budget. This pa...
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Sep 9 2020 |
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Artificial intelligence and conservation
Fang F., Tambe M., Dilkina B., Plumptre A., Cambridge University Press, New York, NY, 2019. 246 pp. Type: Book (978-1-108464-73-4)
This edited volume is the second book in the publisher’s “Artificial Intelligence for Social Good” series. It is a collection of papers on “research advances in AI that benefit the conservation o...
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Jun 25 2020 |
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A rapid hybrid clustering algorithm for large volumes of high dimensional data
Rathore P., Kumar D., Bezdek J., Rajasegarar S., Palaniswami M. IEEE Transactions on Knowledge and Data Engineering 31(4): 641-654, 2019. Type: Article
FensiVAT is a rapid hybrid clustering algorithm that identifies clusters in large datasets characterized by many instances (N) and multiple features (p) in each instance....
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Mar 10 2020 |
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Large-scale and extreme-scale computing with stranded green power: opportunities and costs
Yang F., Chien A. IEEE Transactions on Parallel and Distributed Systems 29(5): 1103-1116, 2018. Type: Article
Yang and Chien look at the opportunities and costs of using stranded power (SP) at green generating centers for supercomputing and allied computer resources. They “define [SP] as offered power generation with no economic valu...
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Sep 13 2019 |
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