Interminable Flows: A Generic, Joint, Customizable Resiliency Model for Big-Data Streaming Platforms
- Bara Abusalah
- Thamir Qadah
- et al.
- 2025
- IEEE Access
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Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing
- Daniel Gibert
- Giulio Zizzo
- et al.
- 2024
- IEEE Access
A Framework for Cognitive, Decentralized Container Orchestration
- Rute C. Sofia
- Josh Salomon
- et al.
- 2024
- IEEE Access
Reliable and Energy-Efficient Diabetic Retinopathy Screening Using Memristor-Based Neural Networks
- Sumit Diware
- Koteswararao Chilakala
- et al.
- 2024
- IEEE Access
On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization
- Md Asif Khan
- Akramul Azim
- et al.
- 2024
- IEEE Access
Interminable Flows: A Generic, Joint, Customizable Resiliency Model for Big-Data Streaming Platforms
- Bara Abusalah
- Thamir M. Qadah
- et al.
- 2023
- IEEE Access
Understanding User Perspectives on Data Visualization in mHealth Apps: A Survey Study
- Yasmeen Anjeer Alshehhi
- Mohamed Abdelrazek
- et al.
- 2023
- IEEE Access
Dynamic, Context-Aware Cross-Layer Orchestration of Containerized Applications
- Rute C. Sofia
- Doug Dykeman
- et al.
- 2023
- IEEE Access
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned
- George Bravos
- Antonio J. Cabrera
- et al.
- 2022
- IEEE Access
A Framework for Verifiable and Auditable Collaborative Anomaly Detection
- Gabriele Santin
- Inna Skarbovsky
- et al.
- 2021
- IEEE Access