An Assessment of Football Through the Lens of Data Science-Reference-Cited by-同舟云学术

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An Assessment of Football Through the Lens of Data Science

Published:2021-03-01 Issue:4 Volume:8 Page:823-836
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Thakkar Poojan,Shah Manan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s40745-021-00323-2.pdf

Reference72 articles.

1. Parekh V, Shah D, Shah M (2020) Fatigue detection using artificial intelligence framework. Augment Hum Res. https://doi.org/10.1007/s41133-019-0023-4

2. Pandya R, Nadiadwala S, Shah R, Shah M (2020) Buildout of methodology for meticulous diagnosis of K-complex in EEG for aiding the detection of alzheimer’s by artificial intelligence. Augment Hum Res. https://doi.org/10.1007/s41133-019-0021-6

3. Kundalia K, Patel Y, Shah M (2020) Multi-label movie genre detection from a movie poster using knowledge transfer learning. Augment Hum Res. https://doi.org/10.1007/s41133-019-0029-y

4. Bondyopadhyay PK (1998) Moore’s law governs the silicon revolution. Proc IEEE 86:78–81. https://doi.org/10.1109/5.658761

5. Arnold U, Oberlander J, Schwarzbach B (2013) Advancements in cloud computing for logistics. Fed Conf Comput Sci Inf Syst FedCSIS 2013:1055–1062

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