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Yash Jain

Researcher at Indian Institute of Technology Kharagpur

Publications -  12
Citations -  300

Yash Jain is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 4, co-authored 8 publications receiving 134 citations. Previous affiliations of Yash Jain include University of Alberta.

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Journal ArticleDOI

The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package

TL;DR: In this paper, the authors proposed a solar physics division of the American Astronomical Society (AAS) Division of Astronomy Division of the University of Washington (U.W.
Journal ArticleDOI

Concurrent geometry- and material-based process identification and optimization for robotic CMT-based wire arc additive manufacturing

TL;DR: In this article, a deposition parameter combination was found that optimizes the quality of single-track wall benchmark components made from low-carbon steel, and correlations between microstructure variations and geometrical variations were found.
Journal ArticleDOI

SunPy: A Python package for Solar Physics

Stuart Mumford, +125 more
TL;DR: Stuart J. Mumford’s aim was to provide a platform for the next generation of interpreters and interpreters to be able to understand each other better and provide a voice to the voiceless.
Book ChapterDOI

Exploring Causes of Crane Accidents from Incident Reports Using Decision Tree

TL;DR: Emerging data mining technique like Decision tree (DT) is adopted to explore the underlying causes involved in incidents happened in the studied plant from the year 2014–2016, and interesting results are obtained.
Journal ArticleDOI

Leveraging artificial intelligence to improve people’s planning strategies

TL;DR: A method that leverages artificial intelligence to generate feedback on how people reach their decisions is developed, suggesting that a principled computational approach leads to improvements in decision-making competence that transfer to more difficult decisions in more complex environments.