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Anytime Computing Techniques for LiDAR-based Perception In Cyber-Physical Systems Anytime Computing Techniques for LiDAR-based Perception In Cyber-Physical Systems Read more about Anytime Computing Techniques for LiDAR-based Perception In Cyber-Physical Systems
Using Machine Learning to Classify Driver Behavior from Psychological Features: An Exploratory Study Using Machine Learning to Classify Driver Behavior from Psychological Features: An Exploratory Study Read more about Using Machine Learning to Classify Driver Behavior from Psychological Features: An Exploratory Study
Radiometric Calibration of Radar Depth Sounder Data Products Radiometric Calibration of Radar Depth Sounder Data Products Read more about Radiometric Calibration of Radar Depth Sounder Data Products
Assessing the Effects of Source Language on Binary Similarity Tools Assessing the Effects of Source Language on Binary Similarity Tools Read more about Assessing the Effects of Source Language on Binary Similarity Tools
A Hardware-Agnostic Simultaneous Transmit And Receive (STAR) Architecture for the Transmission of Non-Repeating FMCW Waveforms A Hardware-Agnostic Simultaneous Transmit And Receive (STAR) Architecture for the Transmission of Non-Repeating FMCW Waveforms Read more about A Hardware-Agnostic Simultaneous Transmit And Receive (STAR) Architecture for the Transmission of Non-Repeating FMCW Waveforms
Efficient and Effective Object Detection and Recognition: from Convolutions to Transformers Efficient and Effective Object Detection and Recognition: from Convolutions to Transformers Read more about Efficient and Effective Object Detection and Recognition: from Convolutions to Transformers
Understanding and Mitigating Security Risks towards Trustworthy Deep Learning Systems Understanding and Mitigating Security Risks towards Trustworthy Deep Learning Systems Read more about Understanding and Mitigating Security Risks towards Trustworthy Deep Learning Systems
Efficient Index-Based Multi-User Scheduling for Mobile mmWave Networks: Balancing Channel Quality and User Experience Efficient Index-Based Multi-User Scheduling for Mobile mmWave Networks: Balancing Channel Quality and User Experience Read more about Efficient Index-Based Multi-User Scheduling for Mobile mmWave Networks: Balancing Channel Quality and User Experience
Source Separation using Sparse Bayesian Learning Source Separation using Sparse Bayesian Learning Read more about Source Separation using Sparse Bayesian Learning