FMDB Transactions on Sustainable Computer Letters
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Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Computer Letters
2024 Vol.2 No.4
ISSN: 2994-5305
Editor: Stefano Cirillo
| Pages | Title and author(s) |
|---|---|
| 186-194 | Exploring Quantum Computing for Optimizing Healthcare Data Analytics in the Digital Era Varun Kumar Nomula Keywords: Quantum Computing; Healthcare Analytics; Big Data; Predictive Modeling; Precision Medicine; Tremendous Amounts; Synergistic Ways; Technological Constraints; Architectural Framework. DOI: 10.69888/FTSCL.2024.000278 |
| 195-206 | Scalable Data Partitioning Strategies for Efficient Query Optimization in Cloud Data Warehouses Venkata Sai Abhishek Anala, Sahithi Chintapalli Keywords: Cloud Data Warehouses; Query Optimization; Data Partitioning; Scalability and Hybrid Partitioning; Storage and Management; Cloud Computing; Data Partitioning; Cloud Environment. DOI: 10.69888/FTSCL.2024.000279 |
| 207-216 | An Analysis of Methods for Extending the Life and Coverage of Wireless Sensor Networks R. Regin, S. Silvia Priscila, Gnaneswari Gnanaguru, T. Shynu, M. Sakthivanitha Keywords: Wireless Sensor Networks (WSNs); Network Coverage; Multiple-Target Coverage (MTC); ACO Algorithm; Distributed-Uncovered Region Exploration Algorithm (D-UREA); Battery Depletion; Data Aggregation. DOI: 10.69888/FTSCL.2024.000280 |
| 217-231 | Goodness: Intelligent System for Delivering Positive News with Sentiment Analysis and Summarization S. Rubin Bose, R. S. Gaayathri, J. Angelin Jeba, Judy Flavia, R. Regin, P. Paramasivan Keywords: Natural Language Processing; Sentiment Analysis; Text Summarization; Flask Web Application; Negative Content; Pre-Trained Language Models; Decision-Making; NLP Community. DOI: 10.69888/FTSCL.2024.000281 |
| 232-241 | Integrating AI for Proactive Network Defense against Emerging Security Vulnerabilities Srinivasa Gopi Kumar Peddireddy Keywords: Artificial Intelligence (AI); Proactive Defense; Network Security; Emerging Threats; Machine Learning; Security Vulnerabilities; Anomaly Detection; Traditional Security Architecture. DOI: 10.69888/FTSCL.2024.000282 |