Optimization of Human Resource Management with the Use of Deep Learning Techniques

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T. Priyanka, K. Kalpana

Abstract

There has been a lot of interest in creating HRM processes that leverage deep learning and machine learning (ML) approaches since these methods have the potential to completely transform how businesses manage their human resources. Effective decision-making in today's competitive climate requires the HRM (Human Resource Management) profession to use strong DSS (Decision Support System) technology. The issue of prediction, decision-making, testing support, and prediction in an HRM system is the main emphasis of this investigation. A novel decision support system for HR procedures is covered in the study. Deep learning and machine learning approaches have been presented as essential tools for monitoring different HR metrics in the systems created and executed analytical process. The paper includes a description of the proposed methodology as well as a discussion of the experiment results.


 

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How to Cite
T. Priyanka, K. Kalpana. (2024). Optimization of Human Resource Management with the Use of Deep Learning Techniques. European Economic Letters (EEL), 14(4), 1297–1303. https://doi.org/10.52783/eel.v14i4.2259
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