Vishnu Ramineni

According to our database, Vishnu Ramineni authored at least 11 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2025

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

Vishnu Ramineni, Balaji Shesharao Ingole, Nikhil Kumar Pulipeta, Balakrishna Pothineni, Aditya Gupta

CoRR, May, 2025

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

Vishnu Ramineni, Shivareddy Devarapalli, Balakrishna Pothineni, Prema Kumar Veerapaneni, Aditya Gupta, Pankaj Gupta

CoRR, May, 2025

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption.

Vishnu Ramineni, Aditya Gupta, Balakrishna Pothineni, Isan Sahoo, Shivareddy Devarapalli, Balaji Shesharao Ingole

CoRR, May, 2025

2024

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

Balaji Shesharao Ingole, Vishnu Ramineni, Nikhil Kumar Pulipeta, Manoj Jayantilal Kathiriya, Manjunatha Sughaturu Krishnappa, Vivekananda Jayaram

CoRR, 2024

AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management.

Balaji Shesharao Ingole, Vishnu Ramineni, Manjunatha Sughaturu Krishnappa, Vivekananda Jayaram

CoRR, 2024

Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment.

Balaji Shesharao Ingole, Vishnu Ramineni, Nikhil Bangad, Koushik Kumar Ganeeb, Priyankkumar Patel

CoRR, 2024

Advanced Computational Methods for Pelvic Bone Cancer Detection: Efficacy comparison of Convolutional Neural Networks.

Jagbir Singh, Priyankkumar Patel, Balaji Shesharao Ingole, Rambabu Inaganti, Vishnu Ramineni, Manjunatha Sughaturu Krishnappa, Bhushan Jayeshkumar Patel

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

AI-Driven Novel Approach for Enhancing E-Commerce Accessibility through Sign Language Integration in Web and Mobile Applications.

Vishnu Ramineni, Balaji Shesharao Ingole, Manjunatha Sughaturu Krishnappa, Akshay Nagpal, Vivekananda Jayaram, Amey Ram Banarse, Darshan Mohan Bidkar, Nikhil Kumar Pulipeta

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Enhancing Pega Robotics Process Automation with Machine Learning: A Novel Integration for Optimized Performance.

Gokul Pandy, Vishnu Ramineni, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Vidyasagar Parlapalli, Amey Ram Banarse, Darshan Mohan Bidkar, Balaji Shesharao Ingole

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Unleashing Python's Power Inside Oracle: A New Era of Machine Learning with OML4Py.

Manjunatha Sughaturu Krishnappa, Bindu Mohan Harve, Vivekananda Jayaram, Gokul Pandy, Balaji Shesharao Ingole, Vishnu Ramineni, Shenson Joseph, Nikhil Bangad

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Prediction and Early Detection of Heart Disease: A Hybrid Neural Network and SVM Approach.

Balaji Shesharao Ingole, Vishnu Ramineni, Vivekananda Jayaram, Amey Ram Banarse, Manjunatha Sughaturu Krishnappa, Nikhil Kumar Pulipeta, Vidyasagar Parlapalli, Gokul Pandy

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024