Manjunatha Sughaturu Krishnappa

According to our database, Manjunatha Sughaturu Krishnappa authored at least 11 papers in 2024.

Collaborative distances:

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

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

A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments.

Nikhil Bangad, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Amey Ram Banarse, Darshan Mohan Bidkar, Akshay Nagpal, Vidyasagar Parlapalli

CoRR, 2024

Advancements in Robotics Process Automation: A Novel Model with Enhanced Empirical Validation and Theoretical Insights.

Gokul Pandy, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Balaji Shesharao Ingole, Koushik Kumar Ganeeb, Shenson Joseph

CoRR, 2024

Performance Analysis of Greedy and Auction-Based Resource Allocation Algorithms in Ubiquitous Computing Environments.

Akshay Nagpal, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Nikhil Jagdish Bangad, Darshan Mohan Bidkar, Manoj Jayantilal Kathiriya, Seema G. Aarella

Proceedings of the 32nd IFIP/IEEE International Conference on Very Large Scale Integration, 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

Building the Future of IoT: Cloud Platforms, Integration Challenges, and Emerging Applications.

Manjunatha Sughaturu Krishnappa, Deepak Jayabalan, Bindu Mohan Harve, Vivekananda Jayaram, Darshan Mohan Bidkar, Prema Kumar Veerapaneni, Vedamurthy Yogeshappa Gejjegondanahalli

Proceedings of the International Conference on Computer and Applications, 2024