Robust human locomotion and localization activity recognition over multisensory

D Khan, M Alonazi, M Abdelhaq, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications

AM Al-Zahrani, TM Alasmari - Humanities and Social Sciences …, 2024 - nature.com
The increasing prevalence of Artificial Intelligence (AI) in higher education underscores the
necessity to explore its implications on ethical, social, and educational dynamics within the …

Transforming conversations with AI—a comprehensive study of ChatGPT

G Bansal, V Chamola, A Hussain, M Guizani… - Cognitive …, 2024 - Springer
The field of cognitive computing, conversational AI has witnessed remarkable progress,
largely driven by the development of the Generative Pre-trained Transformer (GPT) series …

[HTML][HTML] On the exact soliton solutions and different wave structures to the (2+ 1) dimensional Chaffee–Infante equation

C Zhu, M Al-Dossari, S Rezapour, B Gunay - Results in Physics, 2024 - Elsevier
Nonlinear phenomena observed in diverse scientific disciplines, including fluid dynamics,
plasma physics, and biology, are frequently described by partial differential equations …

Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC)

Y Zhao, X Shu - Scientific Reports, 2023 - nature.com
Speech emotion analysis is one of the most basic requirements for the evolution of Artificial
Intelligence (AI) in the field of human–machine interaction. Accurate emotion recognition in …

Towards a semi-local random walk technique through multilayer social networks to improve link prediction

S Chen, J Zhang, G Zhang… - Journal of Complex …, 2024 - academic.oup.com
The rapid expansion of social networks has generated a growing need for scalable
algorithms capable of effectively predicting links. Link prediction is a crucial area of study …

Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions

Y Supriya, D Bhulakshmi, S Bhattacharya… - IEEE …, 2024 - ieeexplore.ieee.org
Industry 5.0 is one of the emerging stages of industrialization in which humans collaborate
with cutting-edge technologies to enhance various workplace processes. The primary …

Social media platform-oriented topic mining and information security analysis by big data and deep convolutional neural network

C Wang - Technological Forecasting and Social Change, 2024 - Elsevier
The aim of this work is to conduct topic mining and data analysis of social network security
using social network-based big data. The deep convolution neural network (DCNN) is used …

A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques

P Rakshit, A Sarkar - Multimedia Tools and Applications, 2024 - Springer
Sentiment analysis provides valuable insights into people's opinions, emotions, and
attitudes, enabling businesses to make more informed decisions, improve customer …

A comprehensive bibliometric survey of micro-expression recognition system based on deep learning

A Ahmad, Z Li, S Iqbal, M Aurangzeb, I Tariq, A Flah… - Heliyon, 2024 - cell.com
Micro-expressions (ME) are rapidly occurring expressions that reveal the true emotions that
a human being is trying to hide, cover, or suppress. These expressions, which reveal a …