Prediction of Startup Performance Using Bidirectional Long Short-Term Memory with Parametric Switch Activation Function-Reference-Cited by-同舟云学术

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Prediction of Startup Performance Using Bidirectional Long Short-Term Memory with Parametric Switch Activation Function

Published:2023-11-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
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Author:

Srivani Putta¹,Sowjanya Gopu²,Kumar Bura Vijay³,AL-Attabi Kassem⁴,Mohammed Ibraheem Hatem⁵

Affiliation:

1. Malla Reddy Engineering college for women,Department of CSE (Cyber Security),Hyderabad,India

2. CMR Technical Campus,Department of CSE(Data Science),Hyderabad,India

3. School of Computer Science and Artificial Intelligence, SR University,Warangal,India

4. The Islamic University,Najaf,Iraq

5. Al Rafidain University College,Department of Computer Communications Engineering,Bagdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389814/10389816/10389947.pdf?arnumber=10389947

Reference16 articles.

1. Exploring Economic and Technological Determinants of FinTech Startups’ Success and Growth in the United Arab Emirates

2. Prediction of initial coin offering success based on team knowledge and expert evaluation

3. A machine learning, bias-free approach for predicting business success using Crunchbase data

4. CapitalVX: A machine learning model for startup selection and exit prediction

5. Prediction of Knowledge Management for Success of Franchise Hospitality in a Post-Pandemic Economy

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