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102 papers · 1 filter
Predicting Financial Literacy via Semi-supervised Learning
David Hason Rudd, Huan Huo, Guandong Xu
Financial literacy (FL) represents a person's ability to turn assets into income, and understanding digital currencies has been added to the modern definition. FL can be predicted…
Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion Recognition
David Hason Rudd, Huan Huo, Guandong Xu
Speech Emotion Recognition (SER) affective technology enables the intelligent embedded devices to interact with sensitivity. Similarly, call centre employees recognise customers' e…
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance
David Hason Rudd, Huan Huo, Guandong Xu
Emotion recognition (ER) from speech signals is a robust approach since it cannot be imitated like facial expression or text based sentiment analysis. Valuable information underlyi…
Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling
Pedro C. S. Costa, Philipp Schleich, Mauro E. S. Morales +1
The solution of large systems of nonlinear differential equations is needed for many applications in science and engineering. In this study, we present three main improvements to e…
GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization
Amir H. Gandomi, Danial Yazdani, Mohammad Nabi Omidvar +1
This document introduces a set of 24 box-constrained numerical global optimization problem instances, systematically constructed using the Generalized Numerical Benchmark Generator…
Damage GAN: A Generative Model for Imbalanced Data
Ali Anaissi, Yuanzhe Jia, Ali Braytee +2
This study delves into the application of Generative Adversarial Networks (GANs) within the context of imbalanced datasets. Our primary aim is to enhance the performance and stabil…