A novel camera-RFID fusion framework with trajectory matching achieves reliable centimeter-level asset localization in forested environments even during temporary occlusions.
Dynamic programming algorithm optimization for spoken word recognition
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
SPARC articulatory features predict sEMG signals more accurately than phoneme features across aloud, mimed, and subvocal speech, with consistent anatomical patterns and above-chance performance even in silent mode.
citing papers explorer
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Camera-RFID Fusion for Robust Asset Tracking in Forested Environments
A novel camera-RFID fusion framework with trajectory matching achieves reliable centimeter-level asset localization in forested environments even during temporary occlusions.
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Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features
SPARC articulatory features predict sEMG signals more accurately than phoneme features across aloud, mimed, and subvocal speech, with consistent anatomical patterns and above-chance performance even in silent mode.