Titlebook: ICT Systems and Sustainability; Proceedings of ICT4S Milan Tuba,Shyam Akashe,Amit Joshi Conference proceedings 2023 The Editor(s) (if appli

Hyperopia

A Bibliometric Analysis of Artificial Intelligence and Human Resource Management,ses the implementation of AI in human resource management. The bibliometric database Web of Science was chosen for the data extraction. The initial search yielded 3475 articles, out of which 210 were taken for final analysis. VOS viewer was used for producing the bibliometric information. The findings indicate the rising trend of using AI in HRM.

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A Review on Quantum Blockchain Based Consensus Mechanism Approaches,d consensus mechanism is more secure and efficient than normal blockchain consensus mechanism for future applications. Thus, in this paper we have to survey the recent approaches based on the blockchain-based consensus algorithm in quantum world.

Decimate

Web Application for Monitoring Foundry Processes Using IoT,we also get to the success rate, i.e., the total products manufactured from the given raw materials and what was the wastage. We have also implemented a temperature monitoring system which monitors the temperature of the furnaces used during the melting process. As the temperature near the furnace i

Amylase

incubus

ACRID

Speech Emotion Recognition Using Machine Learning, gender recognition accuracy is 81%, and the gender-neutral recognition accuracy of emotions is 48%. Using 2D-CNN, the overall accuracy rate for emotion recognition is 67.58%, the accuracy rate for gender recognition is 98%, and the accuracy rate for non-gender recognition of emotions is 65%.

Spinous-Process

Impact of Artificial Intelligence on Human Resource Management Practices in Private Organizations oize of about 120 respondents as senior officials, executives, managers, IT expert, etc. being considered from different companies of India. Accordingly, the outcomes of the research work confirm that there is statistically significant impact of artificial intelligence-based human resource operations

NOVA

Artificial Intelligence in Finance and Accounting: Opportunities and Challenges,g so, they can gain a competitive advantage, improve operational efficiency, and deliver better value to customers. However, several factors, including trust in AI, regulatory environment, availability of data, and cost, could impact the adoption of AI in finance and accounting. By addressing these

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