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ORCIDVenkateswarlu Nalluri
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2020 – today
- 2023
[j3]Venkateswarlu Nalluri
, Jing-Rong Chang, Long-Sheng Chen, Jia-Chuan Chen:
Building prediction models and discovering important factors of health insurance fraud using machine learning methods. J. Ambient Intell. Humaniz. Comput. 14(7): 9607-9619 (2023)- [j2]Hanumantha Rao Sama, Long-Sheng Chen, Venkateswarlu Nalluri, Madhavaiah Chendragiri:
Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach. Public Transp. 15(2): 479-501 (2023) - [c5]Richard G. Mayopu, Venkateswarlu Nalluri, Long-Sheng Chen:
Classification ChatGPT Generated News and True News Using Support Vector Machines. iCAST 2023: 228-232 - [c4]Long-Sheng Chen, Zi-Jie Luo, Venkateswarlu Nalluri:
Constructing Depression Prediction Model using ChatGPT and Machine Learning Algorithms. iCAST 2023: 233-236 - [c3]Venkateswarlu Nalluri, Long-Sheng Chen:
A Mixed Approach to Determine the Factors Affecting the Customers Trust on Financial Services on Social Media Platforms. IEEM 2023: 1568-1572 - 2022
- [j1]Thao-Trang Huynh-Cam, Venkateswarlu Nalluri, Long-Sheng Chen, Yi-Yi Yang:
IS-DT: A New Feature Selection Method for Determining the Important Features in Programmatic Buying. Big Data Cogn. Comput. 6(4): 118 (2022) - [c2]Venkateswarlu Nalluri, Long-Sheng Chen:
Exploring the Relationship Among Experience Marketing, Customer Loyalty on Purchase Intention - A Case Study of Banking Sector. IEEM 2022: 1149-1153 - 2021
- [c1]Venkateswarlu Nalluri, Ching-Torng Lin, Long-Sheng Chen:
Risk Management Analysis of the Sustainable Supply Chain Using a Fuzzy Hybrid Approach in India. TAAI 2021: 180-183
Coauthor Index
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