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Author

S. Degadwala

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5 papers indexed here

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Review Open access Oct 2026

Interpretable Detection of Evolving Network Intrusions: A Review of Explainable Machine Learning and Operational Gaps

In this review, the shift from traditional intrusion detection systems (IDSs) to machine-learning based network intrusion detection and explicit explainability is explored. The source material is assembled with recent literature and the field is structured around five recurring concerns: detection capability, data qual...

Abhishek Tiwari, S. Degadwala · 0 citations
#software testing Review Open access Oct 2026

Automated Testing and Its Impact on Software Development Quality and Maintainability: A Focused Structured Review

A transition from code-level defect metrics toward process- and system-level maintainability concerns is highlighted, and five research gaps are identified: separating testing practice from testing metrics, context-aware empirical design, standardized measurement and reporting, longitudinal maintainability tracking, an...

Kashodhan Prinkal, S. Degadwala · 0 citations
#graph neural networks Review Open access Oct 2026

A Comparative Review of Machine Learning Algorithms for Weather Prediction: Performance, Challenges, and Future Perspectives

Weather prediction is a complex forecasting problem because atmospheric variables interact across time and space, observations are heterogeneous, and useful forecasts must remain reliable across different lead times and weather regimes. Numerical weather prediction (NWP) remains a major operational approach, while mach...

Harsh Bariya, S. Degadwala · 0 citations
Review Open access Sep 2026

A Review on Technical Debt Prediction using Static Code Analysis in Open-Source Software Repositories

Technical debt describes the long-term cost that software teams take on when they choose quick solutions to save time in the short run. As a codebase grows, this debt accumulates and makes future maintenance harder and more expensive. This paper reviews ten studies on identifying, measuring and managing technical debt,...

Saiyed Mohammadmatin, S. Degadwala · 0 citations
Open access 2026

Recursive Voting Fusion: An RFE-Based Ensemble Model for Categorizing IoT DDoS Attacks

The rise of the Internet of Things (IoT) devices has led to an enormous vulnerability to multiple DDoS attacks, including low-rate traffic disruption and high-rate SYN Floods. This increasing menace underscores the importance of proper multi-classification methods that can detect various DDoS attack patterns. Nonethele...

Piyush M. Prajapati, P. Gandhi, S. Degadwala et al. · 0 citations

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