Success of H1-B VISA Using ANN-Reference-Cited by-同舟云学术

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Success of H1-B VISA Using ANN

Published:2021 Issue: Volume: Page:491-499
ISSN:2194-5357
Container-title:Machine Learning and Information Processing
language:
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Author:

Chatterjee Priyadarshini,Velpuru Muni Sekhar,Jagadeeswari T.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4859-2_48

Reference21 articles.

1. S. Karun, Predicting the outcome of H-1B VISA eligibility, in Advances in Computer Communication and Computational Sciences. (Springer, Singapore, 2019), pp. 355–364

2. A. Dombe, R. Rewale, D. Swain, A deep learning-based approach for predicting the outcome of H-1B VISA application, in Machine Learning and Information Processing (Springer, Singapore, 2020), pp. 193–202

3. P. Thakur, M. Singh, H. Singh, P.S. Rana, An allotment of H1B work VISA in USA using machine learning. Int. J. Eng. Technol. 7(2.27), 93–103 (2018)

4. B. Gunel, O.C. Mutlu, Predicting the outcome of H-1B VISA applications

5. D. Swain, K. Chakraborty, A. Dombe, A. Ashture, N. Valakunde, Prediction of H1B VISA using machine learning Al- gorithms, in 2018 International Conference on Advanced Computation and Telecommunication (ICACAT). (IEEE, 2018), pp. 1–7

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Work Visa Analysis using Machine Learning Techniques;2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS);2023-02-02

2. A Hybrid Machine Learning Model Approach to H-1B Visa;2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE);2021-11-27

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