Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare

M Geny, E Andres, S Talha, B Geny - Sensors, 2024 - mdpi.com
In the last few decades, there has been an ongoing transformation of our healthcare system
with larger use of sensors for remote care and artificial intelligence (AI) tools. In particular …

[HTML][HTML] Enhancing IoT Security Using GA-HDLAD: A Hybrid Deep Learning Approach for Anomaly Detection

I Mutambik - Applied Sciences, 2024 - mdpi.com
The adoption and use of the Internet of Things (IoT) have increased rapidly over recent
years, and cyber threats in IoT devices have also become more common. Thus, the …

Bioinspired Artificial Intelligence Applications 2023

H Wei, F Tao, Z Huang, Y Long - Biomimetics, 2024 - mdpi.com
With rapid development of Artificial Intelligence (AI), researchers have found many
bioinspired AI applications, such as bioinspired images and speech processing, which can …

[PDF][PDF] Explainable Artificial Intelligence and Natural Language Processing for Unraveling Deceptive Contents.

N Pospelova, A Tarasova, N Subbotina… - Fusion: Practice & …, 2024 - kpfu.ru
Deceptive content recognition in social media employing artificial intelligence (AI) includes
the use of sophisticated techniques and machine learning (ML) methods to recognize …

CoDC: Accurate Learning with Noisy Labels via Disagreement and Consistency

Y Dong, J Li, Z Wang, W Jia - Biomimetics, 2024 - mdpi.com
Inspired by the biological nervous system, deep neural networks (DNNs) are able to achieve
remarkable performance in various tasks. However, they struggle to handle label noise …

A knowledge-Aware NLP-Driven conversational model to detect deceptive contents on social media posts

DK Jain, S Neelakandan, A Vidyarthi, A Mishra… - Computer Speech & …, 2025 - Elsevier
The widespread dissemination of deceptive content on social media presents a substantial
challenge to preserving authenticity and trust. The epidemic growth of false news is due to …

Applied Linguistics Driven Deceptive Content Recognition using Single Valued Trapezoidal Neutrosophic Number with Natural Language Processing.

AQA Hassan - International Journal of Neutrosophic Science …, 2024 - search.ebscohost.com
Single valued neutrosophic number is a special case of single valued neutrosophic set and
are of importance for neutrosophic multi-attribute decision making problem. A single valued …

[PDF][PDF] Efficient Storage and Access Management System for Network Databases Driven by Cloud Computing Technology

Y Zhang - Academic Journal of Engineering and Technology …, 2024 - francis-press.com
This article focuses on data storage and computing issues in cloud environments. With the
advent of the big data era, cloud computing has become a key support for data storage and …