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A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
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Using Smart Scheduling to Reduce the Negative Impacts of Instrumentation-based Defenses on Embedded Systems
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Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning
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Improving Math Learning With Embodied Game- Based Mobile and Wearable Technologies
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Paycheck.exe: Optimizing the Video Game Live Stream
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Exploring Measurement Estimation Through Learners Actions, Language, and Gestures
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Optimal Electromyogram Modeling and Processing During Active Contractions and Rest
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Graspable Math K-12: Perspectives and Design for Formative Assessment of Mathematical Proficiency with Learning Technologies
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Biologically Inspired Legs and Novel Flow Control Valve Toward a New Approach for Accessible Wearable Robotics
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Balancing Act
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Sonification of Spectroscopy Data
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Measuring the TG-43 Parameters of Iridium-192 using Monte Carlo-based Dosimetry
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Programmable Testbed for Bluetooth Experimentation
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Machine learning approaches to manufacturing and materials: Applications to semi-supervised, unbalanced and heterogeneous data problems
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Robot-Enhanced ABA Therapy: Exploring Emerging Artificial Intelligence Embedded Systems in Socially Assistive Robots for the Treatment of Autism
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Implementing and Comparing Image Convolution Methods on an FPGA at the Register-Transfer Level
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Optimization of Cross-Layer Network Data based on Multimedia Application Requirements
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Electromyogram (EMG) Signal Analysis: Extraction of a Novel EMG Feature and Optimal Root Difference of Squares (RDS) Processing in Additive Noise
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Advanced Electromyogram Signal Processing with an Emphasis on Simplified, Near-Optimal Whitening
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Machine Learning Based Action Recognition to Understand Distracted Driving
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