FMDB Transactions on Sustainable Computer Letters
2024 Vol.2 No.3
ISSN: 2994-5305
Editor: Stefano Cirillo
| Pages | Title and author(s) |
|---|---|
| 131-143 | Enhancing User Experience in Air Canvas Through Robust Hand Gesture Recognition Using Computer Vision Desiya Nanban, Y. Ajitha, Jennifer Selvan, Twajamahoro Jean Pierre, S. Belina V. J. Sara, R.Ragesha Keywords: Open CV; Artificial Intelligence; Real Time Processing; Fingertip Detection; Hand Recognition Project; Traditional Input Devices; User-Friendly System; Human-Computer Interactions; Quantum Computing. DOI: 10.69888/FTSCL.2024.000239 |
| 144-152 | Functional Language for Fault-Tolerant Distributed Computing with Cooperative Task Farming Enrico Zanardo Keywords: Recursive Task-Parallel Algorithms; Distributed DataFlow; Data Parallel Tasks; Distributed Script; Data-Intensive Applications; Cooperative Task; Fault Tolerance. DOI: 10.69888/FTSCL.2024.000240 |
| 153-163 | Strengthening Cloud Security Through Advanced Encryption and Anomaly Detection Techniques for Secure Data Storage and Transmission Harikiran Boye Keywords: Cloud Security; Advanced Encryption; Anomaly Detection; Data Transmission; Secure Storage; Cloud Computing; Information Security; Quantum Computers; Deep Learning. DOI: 10.69888/FTSCL.2024.000241 |
| 164-175 | Harnessing the Power of AI: Revolutionizing Metadata Management with Machine Learning Swathi Chundru Keywords: Metadata Management; Artificial Intelligence; Machine Learning; Data Discovery and Automation; Decision-Making; Analytical Work; Blockchain Technology; Customer Satisfaction. DOI: 10.69888/FTSCL.2024.000242 |
| 176-185 | Revolutionizing Insurance Through AI and Data Analytics: Innovating Policy Underwriting and Claims Management for the Digital Era Venu Madhav Aragani Keywords: Artificial Intelligence; Data Analytics; Digital Transformation; Faster Claim Processing; Fraud-Detection Capabilities; Traditional Insurance Operations; Higher Customer Satisfaction; Powerful Computing Technologies; Machine Learning; Boltzmann Machines. DOI: 10.69888/FTSCL.2024.000243 |