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Department of Computer Science and Engineering
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Computer Science and Engineering
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Improving Memory Performance for Both High Performance Computing and Embedded/Edge Computing Systems
Hybrid Optimization Models for Depot Location-Allocation and Real-Time Routing of Emergency Deliveries
Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning
Deep Learning Methods to Investigate Online Hate Speech and Counterhate Replies to Mitigate Hateful Content
Toward Leveraging Artificial Intelligence to Support the Identification of Accessibility Challenges
Scalable Next Generation Blockchains for Large Scale Complex Cyber-Physical Systems and Their Embedded Systems in Smart Cities
Frameworks for Attribute-Based Access Control (ABAC) Policy Engineering
Blockchain for AI: Smarter Contracts to Secure Artificial Intelligence Algorithms
Optimization of Massive MIMO Systems for 5G Networks
Cooperative Perception for Connected Autonomous Vehicle Edge Computing System
Extracting Possessions and Their Attributes
Reliability and Throughput Improvement in Vehicular Communication by Using 5G Technologies
New Computational Methods for Literature-Based Discovery
Machine-Learning-Enabled Cooperative Perception on Connected Autonomous Vehicles
Privacy Preserving Machine Learning as a Service
An Extensible Computing Architecture Design for Connected Autonomous Vehicle System
Understanding and Reasoning with Negation
Deep Learning Optimization and Acceleration
Multiomics Data Integration and Multiplex Graph Neural Network Approaches
Reinforcement Learning-Based Test Case Generation with Test Suite Prioritization for Android Application Testing
Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos
Reliability Characterization and Performance Analysis of Solid State Drives in Data Centers
An Artificial Intelligence-Driven Model-Based Analysis of System Requirements for Exposing Off-Nominal Behaviors
Registration of Point Sets with Large and Uneven Non-Rigid Deformation
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