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Richi Nayak

1 paper here

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fields
  • cs.CY1
ORCID 0000-0002-9954-0159

identity via Semantic Scholar / OpenAlex

most citedExtracting Point of Interest and Classifying Environment for Low Sampling Crowd Sensing Smartphone Sensor Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2023★ 2 cited

Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains

Md Abul Bashar, Richi Nayak, Gareth Knapman +2

Among the pressing issues facing Australian and other First Nations peoples is the repatriation of the bodily remains of their ancestors, which are currently held in Western scient…

cs.CY2017★ 2 cited

Extracting Point of Interest and Classifying Environment for Low Sampling Crowd Sensing Smartphone Sensor Data

Billy Pik Lik Lau, Marakkalage Sumudu Hasala, Viswanath Sanjana Kadaba +4

The advancement of smartphones with various type of sensors enabled us to harness diverse information with crowd sensing mobile application. However, traditional approaches have su…

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