The hospitality industry increasingly relies on artificial intelligence to enhance guest experiences through intelligent feedback analysis. Traditional sentiment analysis approaches fall short in capturing the nuanced emotional states expressed in guest reviews and feedback. This paper presents a novel context-aware em...
Srinivasan, D. Soujanya, Joy Elvine Martis et al.· Journal of Intelligent Decis...· 0 citations
Reliable and accountable AI-augmented software systems are crucial for their successful deployment and use. For trustworthy operation at runtime, self-evolving analytics pipelines can enhance monitoring, quality control, and governance of AI applications. A systematic analysis delivers a rigorous foundation and identif...
P. Pareek· Journal of Intelligent Decis...· 0 citations
Although software systems increasingly shape energy consumption, economic output, and societal welfare, most development methods still prioritise schedule, cost, and functionality. This paper presents an approach to software development that prioritises sustainability by embedding environmental, economic, and social ob...
M. K., P. Pareek· International Journal of Adv...· 0 citations
A state-of-the-art methodology that makes use of a unique synthetic dataset called VulneraScope-X, which greatly improve cross-platform defect detection when combined with topological and semantic embeddings is presented.
Vijayamahantesh, A. Ashwitha, E. Naresh et al.· Scientific Reports· 0 citations
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