On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López +3 more
wiley +1 more source
ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi +2 more
wiley +1 more source
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
A review on applications of wavelet transform and artificial intelligence systems in fault diagnosis of rotating machinery [PDF]
Ali Saud Al Tobi, Maamer +4 more
core
Schematic summary of the machine learning‐driven analysis for high‐yield cucumber architecture. This study employs machine learning methods to analyze key shoot and root traits, building a predictive model for yield. The analysis identifies an optimal plant architecture: a compact and sturdy shoot structure, combined with a narrow yet larger‐diameter ...
Cuifang Zhu +8 more
wiley +1 more source
Training without data: knowledge insertion into RBF networks [PDF]
McGarry, Kenneth, Wermter, Stefan
core
Option Pricing with BP Neural Network and RBF Neural Network
openaire +1 more source
Prediction of Impact Resistance of Nano-SiO<sub>2</sub> and Hybrid Fiber Modified Geopolymer Gel Concrete in Marine Wet-Thermal and Chloride Salt Environment. [PDF]
Lai C, Zhang P, Dai X, Zheng Y.
europepmc +1 more source
Application of optimal power point tracking technology in distributed grid-connected photovoltaic systems. [PDF]
Yang P, Weng H, Zhong Y.
europepmc +1 more source
The Improved Hybrid STD- Radial Basis Function Neural Network Approach for Time Series Forecasting Application to Tesla Stock Price Prediction. [PDF]
H Abdullah H, A Noori N, S Hamza T.
europepmc +1 more source

