RK

Rajani Kumari

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S9-072025-3116905

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📚 Publications (3)

BREAKING THE MOLD: WHY DATA-SHARING CHALLENGES DIFFER IN STRICTLY REGULATED VS. INNOVATION-FOCUSED PUBLIC-PRIVATE PARTNERSHIPS
Journal: International Journal of Computer Engineering and Technology (IJCET) • June 2021
Public-private partnerships (PPPs) play a crucial role in tackling society’s biggest challenges, but their success often depends on how well organizations share data. Most research so far has focused...
Public-private partnerships Data sharing hurdles Regulation vs. innovation Sector-specific challenges Adaptive frameworks
CAN AI OUTSMART THRESHOLD ALERTS? A HYBRID MACHINE LEARNING APPROACH FOR SMARTER ANOMALY DETECTION IN AZURE DATA PIPELINES
Journal: International Journal of Information Technology and Management Information Systems (IJITMIS) • December 2022
Cloud data pipelines need better monitoring—traditional threshold-based systems often miss subtle anomalies or flood teams with false alarms. But can AI do better? This study compares hybrid machine l...
Anomaly detection Machine learning Hybrid ai models Azure data factory Predictive alerts Threshold rules Lstm networks Cloud monitoring Real-time analytics False alarms +2 more
MEASURING AWS’S DUAL IMPACT ON SME INNOVATION: BEYOND JUST EFFICIENCY
Journal: International Journal of Computer Science and Engineering Research and Development (IJCSERD) • December 2022
Small and medium-sized enterprises (SMEs) are increasingly adopting Amazon Web Services (AWS) for its operational benefits, but its broader influence on innovation is still not well understood. This s...
Amazon web services (aws) Small and medium-sized enterprises (smes) Cloud computing Innovation measurement Quantitative performance Qualitative impact Digital transformation Cost efficiency Business agility Scalable growth.
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