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Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting
Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-Based Proxy Modelling
Recognising Gestures Using Ambient Light and Convolutional Neural Networks: Adapting Convolutional Neural Networks for Gesture Recognition on Resource-constrained Microcontrollers
Link adaptation and equalization for underwater acoustic communication using machine learning
Supervised machine learning in microfluidic impedance flow cytometry for improved particle size determination
Privacy preserving detection and classification of playground users
Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning
Tuning of Optical Beamforming Networks: A Deep Learning Approach
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