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When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Neural growth is the process of growing a small neural network to a large network and has been utilized to accelerate the training of deep neural networks.
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques
A transhumeral prosthesis restores missing anatomical segments below the shoulder, including the hand.
A Weak Monotonicity Based Muscle Fatigue Detection Algorithm for a Short-Duration Poor Posture Using sEMG Measurements
Muscle fatigue is usually defined as a decrease in the ability to produce force.
Frequency Superposition -- A Multi-Frequency Stimulation Method in SSVEP-based BCIs
The steady-state visual evoked potential (SSVEP) is one of the most widely used modalities in brain-computer interfaces (BCIs) due to its many advantages.
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP
Stimulation methods that utilise more than one stimulation frequency have been developed for steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs) with the purpose of increasing the number of targets that can be presented simultaneously.
