Frequency-domain and time-domain analysis, wavelet transform, wavelet entropy, improved multi-scale entropy algorithm, and EEG feature extraction based on a constrained independent component are popular approaches for analysing and processing EEG signals. EEG is currently used in the medical field but ...
The weighted cross-entropy loss was used to mitigate the impact of data imbalance between natural and synthetic speech in the training dataset, with a weight ratio of 9:1. The batch size was set at 16. All models were trained for 50 epochs on a single GeForce Tesla v100. 3.3. Simple ...
The weighted cross-entropy loss was used to mitigate the impact of data imbalance between natural and synthetic speech in the training dataset, with a weight ratio of 9:1. The batch size was set at 16. All models were trained for 50 epochs on a single GeForce Tesla v100. 3.3. Simple ...
TS is the configurational entropy, which measures the number of available configurations occupied by a molecule in 3D space, multiplied by the temperature, and it is typically ignored because of the associated higher computational cost. This method of Gibb’s free energy calculation is widely ...
According to the data and our research, these additions raise the activation energy, activation entropy, and activation enthalpy of reactions, all of which inhibit corrosion development. The amount of inhibitor added to the acid solution boosts the active enthalpy (ΔH*), indicating that the ...