Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Queen's University of Belfast
Award Date: 2 Jul 2013
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Dive into the research topics where Shailesh Tripathi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure
Emmert-Streib, F., Tripathi, S. & Dehmer, M., 2023, In: IEEE Access. 11, p. 69649-69666 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
A data-centric review of deep transfer learning with applications to text data
Bashath, S., Perera, N., Tripathi, S., Manjang, K., Dehmer, M. & Streib, F. E., Mar 2022, In: Information Sciences. 585, p. 498-528 31 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile224 Downloads (Pure) -
Identifying key interactions between process variables of different material categories using mutual information-based network inference method
Tripathi, S., Jodlbauer, H., Mittermayr, C. & Emmert-Streib, F., 2022, 3rd International Conference on Industry 4.0 and Smart Manufacturing. Elsevier, p. 1550-1564 15 p. (Procedia Computer Science; vol. 200).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile10 Downloads (Pure) -
The usefulness of topological indices
Ma, Y., Dehmer, M., Künzi, U. M., Tripathi, S., Ghorbani, M., Tao, J. & Emmert-Streib, F., Aug 2022, In: Information Sciences. 606, p. 143-151 9 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
Tripathi, S., Muhr, D., Brunner, M., Jodlbauer, H., Dehmer, M. & Emmert-Streib, F., 14 Jun 2021, In: Frontiers in artificial intelligence. 4, 576892.Research output: Contribution to journal › Review Article › peer-review
Open AccessFile3 Downloads (Pure)