Wearable accelerometry, EDA, and temperature data from 9 students with profound autism, processed with fine-tuned foundation models, enables prediction of challenging behavior episodes up to 10 minutes in advance at AUC-ROC 0.78 in actual classroom sessions.
In: ICC 2022-IEEE International Conference on Communications
3 Pith papers cite this work. Polarity classification is still indexing.
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Develops SDR-based branch-and-bound for global optimum and SCA for near-optimal low-complexity solution to max-min secrecy rate in secure ISAC with power budget and sensing quality constraints.
Experimental demonstration of multiplayer quantum volunteer's dilemma on NISQ hardware up to 9 players, with noise analysis and digital-twin comparison.
citing papers explorer
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Prediction of Challenging Behaviors Associated with Profound Autism in a Classroom Setting Using Wearable Sensors
Wearable accelerometry, EDA, and temperature data from 9 students with profound autism, processed with fine-tuned foundation models, enables prediction of challenging behavior episodes up to 10 minutes in advance at AUC-ROC 0.78 in actual classroom sessions.
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Max-Min Secrecy Rate Optimization for Secure ISAC Networks: Global Optimization and Low-Complexity Algorithm
Develops SDR-based branch-and-bound for global optimum and SCA for near-optimal low-complexity solution to max-min secrecy rate in secure ISAC with power budget and sensing quality constraints.
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Experimental Implementation of the Quantum Volunteer's Dilemma on NISQ Hardware: Noise Analysis and Digital-Twin Validation
Experimental demonstration of multiplayer quantum volunteer's dilemma on NISQ hardware up to 9 players, with noise analysis and digital-twin comparison.