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Vinayaka Gude
Vinayaka Gude
Assistant Professor - Texas A&M Commerce
Verified email at tamuc.edu - Homepage
Title
Cited by
Cited by
Year
Flood prediction and uncertainty estimation using deep learning
V Gude, S Corns, S Long
Water 12 (3), 884, 2020
672020
Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data
V Nagendra, H Gude, D Sampath, S Corns, S Long
2017 IEEE conference on computational intelligence in bioinformatics and …, 2017
342017
Integrated deep learning and supervised machine learning model for predictive fetal monitoring
V Gude, S Corns
Diagnostics 12 (11), 2843, 2022
112022
SoS Explorer Application with Fuzzy-Genetic Algorithms to Assess an Enterprise Architecture–A Healthcare Case Study
J Goldschmid, V Gude, S Corns
Procedia Computer Science 185, 55-62, 2021
82021
Agent based modeling for flood inundation mapping and rerouting
V Gude, S Corns, C Dagli, S Long
Procedia Computer Science 168, 170-176, 2020
82020
A multi-level modeling approach for predicting real-estate dynamics
V Gude
International Journal of Housing Markets and Analysis, 2023
52023
Factors Influencing ChatGpt Adoption for Product Research and Information Retrieval
V Gude
Journal of Computer Information Systems, 1-10, 2023
32023
Flood Prediction and Uncertainty Estimation Using Deep Learning. Water 12 (3), 884
V Gude, S Corns, S Long
DOI 10, w12030884, 2020
32020
Flood Prediction and Uncertainty Estimation using Deep Learning Water
V Gude, S Corns, S Long
22020
Modeling a decision support system for COVID-19 using systems dynamics and fuzzy inference
V Gude
Health Informatics Journal 28 (3), 14604582221120344, 2022
12022
Optimal onsite microgrid design for net-zero energy operation in manufacturing industry
MM Islam, M Rahman, F Heidari, V Gude
Procedia Computer Science 185, 81-90, 2021
12021
Predictive Deep Learning for Flood Evacuation Planning and Routing
SM Corns, SK Long, J Hale, B Kanwar, V Gude
Missouri. Department of Transportation. Construction and Materials Division, 2020
12020
Computational intelligence methods for predicting fetal outcomes from heart rate patterns
VNHGD Sampath
Missouri University of Science and Technology, 2018
12018
THE IMPACT OF SOCIAL MEDIA PRESENCE, RESPONSE TIME, CORPORATE ACTIONS ON THE STOCK MARKET: EVIDENCE FROM THE RUSSIA–UKRAINE WAR
V Gude, D Hsiao
Applied Finance Letters 13, 144-157, 2024
2024
Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring. Diagnostics 2022, 12, 2843
V Gude, S Corns
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Using Trend Extraction and Spatial Trends to Improve Flood Modeling and Control
J Hale, S Long, V Gude, S Corns
Data Science, Data Visualization, and Digital Twins, 2021
2021
Predicting complex system behavior using hybrid modeling and computational intelligence
VNHGD Sampath
Missouri University of Science and Technology, 2020
2020
Evaluation of Support Vector Machines and Random Forest Classifiers in a Real-Time Fetal Monitoring System based on Cardiotocography Data
VNHGD Sampath, S Corns, S Long
Institute of Electrical and Electronics Engineers (IEEE), 2017
2017
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