Results 201 to 210 of about 59,820 (274)

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

open access: yesExpert Systems, Volume 43, Issue 5, May 2026.
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

Imbalance‐Aware Credit Card Fraud Detection Using Multi‐Autoencoders and Generative Ensemble Learning

open access: yesExpert Systems, Volume 43, Issue 5, May 2026.
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

open access: yesObesity Reviews, Volume 27, Issue 5, May 2026.
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]

open access: yes, 2016
Ali Saud Al Tobi, Maamer   +4 more
core  

Machine Learning‐Driven Construction of High‐Yielding Cucumber Plant Architectures in Greenhouse Environments

open access: yesPlant Biotechnology Journal, Volume 24, Issue 5, Page 2917-2938, May 2026.
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]

open access: yes, 2005
McGarry, Kenneth, Wermter, Stefan
core  

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