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A Top-Down Policy Engineering Framework for Attribute-Based Access Control
Privacy Preserving Machine Learning as a Service
Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning
Multi-Source Large Scale Bike Demand Prediction
Epileptic Seizure Detection and Control in the Internet of Medical Things (IoMT) Framework
Extracting Possessions and Their Attributes
Frameworks for Attribute-Based Access Control (ABAC) Policy Engineering
Kriging Methods to Exploit Spatial Correlations of EEG Signals for Fast and Accurate Seizure Detection in the IoMT
Extracting Dimensions of Interpersonal Interactions and Relationships
Building Reliable and Cost-Effective Storage Systems for High-Performance Computing Datacenters
Cooperative Perception for Connected Autonomous Vehicle Edge Computing System
Optimization of Massive MIMO Systems for 5G Networks
Combinatorial-Based Testing Strategies for Mobile Application Testing
IoMT-Based Accurate Stress Monitoring for Smart Healthcare
Hybrid Optimization Models for Depot Location-Allocation and Real-Time Routing of Emergency Deliveries
An Artificial Intelligence-Driven Model-Based Analysis of System Requirements for Exposing Off-Nominal Behaviors
An Extensible Computing Architecture Design for Connected Autonomous Vehicle System
COVID-19 Diagnosis and Segmentation Using Machine Learning Analyses of Lung Computerized Tomography
Improving Memory Performance for Both High Performance Computing and Embedded/Edge Computing Systems
Online Testing of Context-Aware Android Applications
Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos
SIMON: A Domain-Agnostic Framework for Secure Design and Validation of Cyber Physical Systems
Machine-Learning-Enabled Cooperative Perception on Connected Autonomous Vehicles
Reliability Characterization and Performance Analysis of Solid State Drives in Data Centers
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