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Empowering Computer Vision Models with Deep Learning for Robotic Perception and Drone Geolocation
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Mixed Analog-Digital Signal Techniques for Wearable Medical Sensors in Healthcare Applications
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Network Electrophysiology Sensor-On-A- Chip
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Towards Automated Analysis of Microarchitectural Attacks using Machine Learning
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Revisiting Isolated and Trusted Execution via Microarchitectural Cryptanalysis
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Machine Learning for Reliable Communication and Improved Tracking of Dynamical Systems
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Applications of Fully Homomorphic Encryption
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Enhanced Acquisition Techniques for GPS L1C Receivers
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Wind Energy Conversion Systems based on DFIG Technology used as Active Filters: Steady-State and Transient Analysis
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Age of Information in Multi-Hop Status Update Systems: Fundamental Bounds and Scheduling Policy Design
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From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform
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Security in Voice Authentication
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Distributed Statistical Learning under Communication Constraints
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New Approaches for Efficient Fully Homomorphic Encryption
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SmartCell: An Energy Efficient Reconfigurable Architecture for Stream Processing
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Application of Channel Modeling for Indoor Localization Using TOA and RSS
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A Method Of Moments Approach for the Design Of RF Coils for MRI
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Identification and Modeling of the Dynamic Behavior of the Direct Path Component in ToA-Based Indoor Localization Systems
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SRML: Space Radio Machine Learning
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Opportunistic Routing in Multihop Wireless Networks: Capacity, Energy Efficiency, and Security
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