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ON THE RELATIONSHIP BETWEEN SPEECH-BASED BREATHING SIGNAL PREDICTION EVALUATION MEASURES AND BREATHING PARAMETERS ESTIMATION

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ON THE RELATIONSHIP BETWEEN SPEECH-BASED BREATHING SIGNAL PREDICTION EVALUATION MEASURES AND BREATHING PARAMETERS ESTIMATION

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Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings

Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks

Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Simulating Solvation and Acidity in Complex Mixtures with First-Principles Accuracy: The Case of CH3SO3H and H2O2 in Phenol

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks

Identification of Non-Linear RF Systems Using Backpropagation

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings

Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks

Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding

Simulating Solvation and Acidity in Complex Mixtures with First-Principles Accuracy: The Case of CH3SO3H and H2O2 in Phenol

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks

Identification of Non-Linear RF Systems Using Backpropagation

Physics-informed machine learning for reduced-order modeling of nonlinear problems