Works (4)

Updated: December 3rd, 2024 05:02

2024 article

Development and Evaluation of an Immersive and Interactive Virtual Cell Culture Training for Accessible Biotechnology

Srougi, M., Spencer, D., Cartwright, E., McKeown, C., Potts, C., & Jhala, A. (2024, March). JOURNAL OF BIOLOGICAL CHEMISTRY, Vol. 300, pp. S79–S79.

By: M. Srougi n, D. Spencer*, E. Cartwright*, C. McKeown*, C. Potts* & A. Jhala*

Sources: Web Of Science, NC State University Libraries
Added: December 2, 2024

2024 journal article

Student experiences with a molecular biotechnology course containing an interactive 3D immersive simulation and its impact on motivational beliefs

PLOS ONE, 19(7).

By: D. Spencer n, C. Mckeown n, D. Tredwell n, B. Huckaby n, A. Wiedner n, J. Dums n, E. Cartwright n, C. Potts n ...

UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 14, 2024

2023 journal article

Developing a Construction Domain-Specific Artificial Intelligence Language Model for NCDOT's CLEAR Program to Promote Organizational Innovation and Institutional Knowledge

JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 37(3).

By: S. Banerjee*, C. Potts n, A. Jhala n & E. Jaselskis n

author keywords: Natural language processing; Knowledge management; Lessons learned; Neural language model; Construction industry
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: April 11, 2023

2022 journal article

Leveraging Multiple Representations of Topic Models for Knowledge Discovery

IEEE ACCESS, 10, 104696–104705.

By: C. Potts n, A. Savaliya* & A. Jhala n

author keywords: Artificial intelligence; Data analysis; Analytical models; Knowledge discovery; Computational modeling; Clustering algorithms; Semantics; Natural language processing; Artificial intelligence; big data applications; data analysis; data visualization; knowledge discovery; natural language processing
TL;DR: A novel perspective on topic analysis is presented by presenting a process for combining output from multiple models with different theoretical underpinnings, which results in the ability to tackle novel tasks such as semantic characterization of content that cannot be carried out by using single models. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 29, 2022

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