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Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data
Published 2025-01-01“…The RF classifier reaches the highest performance in identifying meatballs (89.4% sensitivity and 81.6% specificity) and the lowest in identifying sandwiches (74.6% sensitivity and 72.5% specificity). …”
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Nanoarchitectonics of point-of-care diagnostics for sweat biomarkers analysis
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Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest
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Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach
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Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy
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Impact of Solvent-Mediated Phase Transitions by Artificial Gastrointestinal Buffers on Efavirenz Polymorphs
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Survey and Development Trend of Supernumerary Robotic Limbs
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A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors
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