Cited by Machine Learning-Based Multivariate Classification of Cardiac Autonomic Neuropathy Via Imbalanced ECG Recordings

Ethical Considerations in Using Fuzzy Artificial Intelligence for Detecting Fake Reviews DOI

A. Firos,

Seema Khanum

Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 283 - 302

Published: Oct. 17, 2024

This chapter examines Fuzzy Artificial Intelligence (FAI) as a solution for detecting fake reviews, growing concern in digital marketplaces. FAI combines fuzzy logic with artificial intelligence to assess the authenticity of reviews by analyzing linguistic variables and producing desirability score that indicates likelihood review being genuine. Unlike traditional models, handles ambiguity, improving detection accuracy. Results show outperforms conventional methods, offering deeper insights into authenticity. The highlights FAI's role enhancing online trust, protecting consumers, ensuring reliable decision-making. With its ability adapt new data, is crucial maintaining integrity marketplaces creating trustworthy environment.

Language: Английский

Citations

Enhancing quadrotor robustness control using image-based visual servoing (IBVS) with fuzzy logic DOI

Mahdi Labed,

Raihane Mechgoug,

Soufiane Benabdi

et al.

STUDIES IN ENGINEERING AND EXACT SCIENCES, Journal Year: 2024, Volume and Issue: 5(2), P. e9515 - e9515

Published: Oct. 22, 2024

Visual servoing is a commonly employed approach in robotics and unmanned aerial vehicles (UAVs) that facilitates accurate object positioning movement control by utilizing visual feedback. As quadrotors gain popularity, more methods have been developed. This article presents method for enhancing quadrotor robustness using image-based (IBVS) with fuzzy logic. Unlike traditional servoing, which relies on fixed often encounters challenges velocity convergence maintaining the field of view, this designed to enhance servo dynamically adjusting IBVS system through logic controller. controller adaptively adjusts response feature errors depth object's points. MATLAB simulations clearly demonstrate superior performance integrated compared classical approaches, showcasing enhanced capabilities challenging environments.

Language: Английский

Citations

Machine Learning-Based Multivariate Classification of Cardiac Autonomic Neuropathy Via Imbalanced ECG Recordings DOI

Muaz Al Radi, Abdul Rahim Ahmad, Abdulrahman Ahmad

et al.

2022 Advances in Science and Engineering Technology International Conferences (ASET), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: June 3, 2024

Language: Английский

Citations