Pandy, Gokul and Jayaram, Vivekananda and Krishnappa, Manjunatha Sughaturu and Ingole, Balaji Shesharao and Ganeeb, Koushik Kumar and Joseph, Shenson (2024) Advancements in Robotics Process Automation: A Novel Model with Enhanced Empirical Validation and Theoretical Insights. European Journal of Computer Science and Information Technology, 12 (5). pp. 64-73. ISSN 2054-0957 (Print), 2054-0965 (Online)
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Abstract
Robotics Process Automation (RPA) is revolutionizing business operations by significantly enhancing efficiency, productivity, and operational excellence across various industries. This manuscript delivers a comprehensive review of recent advancements in RPA technologies and proposes a novel model designed to elevate RPA capabilities. Incorporating cutting-edge artificial intelligence (AI) techniques, advanced machine learning algorithms, and strategic integration frameworks, the proposed model aims to push RPA’s boundaries. The paper includes a detailed analysis of functionalities, implementation strategies, and expanded empirical validation through rigorous testing across multiple industries. Theoretical insights underpin the model’s design, offering a robust framework for its application. Limitations of current models are critically discussed, and future research directions are outlined to guide the next wave of RPA innovation. This study offers valuable guidance for practitioners and researchers aiming to advance RPA technology and its applications.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Professor Mark T. Owen |
| Date Deposited: | 29 Aug 2024 13:42 |
| Last Modified: | 29 Aug 2024 13:42 |
| URI: | https://tudr.org/id/eprint/3332 |
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