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20242026
most citedFrom Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations

25 citations

7 papers

cs.DC2026★ 4 cited

Push Down Optimization for Distributed Multi Cloud Data Integration

Ravi Kiran Kodali, Vinoth Punniyamoorthy, Akash Kumar Agarwal +5

Enterprises increasingly adopt multi cloud architectures to take advantage of diverse database engines, regional availability, and cost models. In these environments, ETL pipelines…

cs.AI2026★ 5 cited

Cognitive Platform Engineering for Autonomous Cloud Operations

Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti +4

Modern DevOps practices have accelerated software delivery through automation, CI/CD pipelines, and observability tooling,but these approaches struggle to keep pace with the scale…

cs.HC2025★ 2 cited

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement

Vishnu Ramineni, Balaji Shesharao Ingole, Nikhil Kumar Pulipeta +2

Modern healthcare facilities demand digital accessibility to guarantee equal access to telemedicine platforms, online pharmacy services, and health monitoring devices that can be w…

cs.HC2025★ 3 cited

Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions

Vishnu Ramineni, Shivareddy Devarapalli, Balakrishna Pothineni +3

Modern healthcare domain incorporates a feature of digital accessibility to ensure seamless flow of online services for the patients. However, this feature of digital accessibility…

cs.CY2024★ 12 cited

The Dual Impact of Artificial Intelligence in Healthcare: Balancing Advancements with Ethical and Operational Challenges

Balaji Shesharao Ingole, Vishnu Ramineni, Nikhil Kumar Pulipeta +3

The synchronic and diachronic study of the evolution of Artificial Intelligence (AI) unveils one prominent fact that its effect can be traced in almost all fields such as healthcar…

cs.IR2024

Bridging Personalization and Control in Scientific Personalized Search

Sheshera Mysore, Garima Dhanania, Kishor Patil +3

Personalized search is a problem where models benefit from learning user preferences from per-user historical interaction data. The inferred preferences enable personalized ranking…

cs.DC2024★ 25 cited

From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations

Kapilya Gangadharan, K. Malathi, Anoop Purandaran +3

This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy of Recommendation Systems (RS), particularly in the context of their growing signifi…