Journal Articles
Journal Articles
Embedded Files
Factors influencing ChatGPT adoption for product research and information retrieval - Journal of Computer Information Systems (Accepted - November 5th, 2023)
Gude, V. (2023). Factors influencing ChatGPT adoption for product research and information retrieval. Journal of Computer Information Systems.
Gude, V. (2023). Factors influencing ChatGPT adoption for product research and information retrieval. Journal of Computer Information Systems.
A multi-level modeling approach for predicting real-estate dynamics - International Journal of Housing Markets and Analysis (June, 2023)
Gude, V. (2023). A multi-level modeling approach for predicting real-estate dynamics. International Journal of Housing Markets and Analysis.
Gude, V. (2023). A multi-level modeling approach for predicting real-estate dynamics. International Journal of Housing Markets and Analysis.
Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring- Diagnostics (November, 2022)
Gude, V., & Corns, S. (2022). Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring. Diagnostics, 12(11), 2843.
Gude, V., & Corns, S. (2022). Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring. Diagnostics, 12(11), 2843.
Modeling a decision support system for Covid-19 using systems dynamics and fuzzy inference - Health Informatics Journal (August, 2022)
Gude, V. (2022). Modeling a decision support system for COVID-19 using systems dynamics and fuzzy inference. Health Informatics Journal, 28(3), 14604582221120344.
Gude, V. (2022). Modeling a decision support system for COVID-19 using systems dynamics and fuzzy inference. Health Informatics Journal, 28(3), 14604582221120344.
Flood prediction and uncertainty estimation using deep learning - Water (March, 2020)
Gude, V., Corns, S., & Long, S. (2020). Flood prediction and uncertainty estimation using deep learning. Water, 12(3), 884.
Gude, V., Corns, S., & Long, S. (2020). Flood prediction and uncertainty estimation using deep learning. Water, 12(3), 884.
Conference Proceedings
Conference Proceedings
Goldschmid, J., Gude, V., & Corns, S. (2021). SoS Explorer Application with Fuzzy-Genetic Algorithms to Assess an Enterprise Architecture–A Healthcare Case Study. Procedia Computer Science, 185, 55-62.
Islam, M. M., Rahman, M., Heidari, F., & Gude, V. (2021). Optimal Onsite Microgrid Design for Net-Zero Energy Operation in Manufacturing Industry. Procedia Computer Science, 185, 81-90.
Gude, V., Corns, S., Dagli, C., & Long, S. (2020). Agent based modeling for flood inundation mapping and rerouting. Procedia Computer Science, 168, 170-176.
Nagendra, V., Gude, H., Sampath, D., Corns, S., & Long, S. (2017, August). Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data. In 2017 IEEE conference on computational intelligence in bioinformatics and computational biology (CIBCB) (pp. 1-6). IEEE.
Book Chapters and Other Publications
Book Chapters and Other Publications
Hale, J., Long, S., Gude, V., & Corns, S. (2021). Using Trend Extraction and Spatial Trends to Improve Flood Modeling and Control. In Data Science, Data Visualization, and Digital Twins. IntechOpen.
Corns, S. M., Long, S. K., Hale, J., Kanwar, B., & Gude, V. (2020). Predictive Deep Learning for Flood Evacuation Planning and Routing (No. 25-1121-0005-130). Missouri. Department of Transportation. Construction and Materials Division.
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