The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

Data-driven artificial intelligence in education: A comprehensive review

K Ahmad, W Iqbal, A El-Hassan, J Qadir… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As education constitutes an essential development standard for individuals and societies,
researchers have been exploring the use of artificial intelligence (AI) in this domain and …

Centering Racial Health Equity in Systematic Reviews Paper 3: A Systematic Review of Definitions For" Racial Health Equity" and Related Terms within Health …

EA Terhune, MB Dagne, C Piper, AB Pizarro… - Journal of Clinical …, 2024 - Elsevier
Objective To systematically evaluate definitions of “racial health equity” and related terms
within health-related academic literature. Study Design and Setting We systematically …

How good is Google Bard's visual understanding? an empirical study on open challenges

H Qin, GP Ji, S Khan, DP Fan, FS Khan, LV Gool - 2023 - Springer
Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT in the field of
conversational AI. Notably, Bard has recently been updated to handle visual inputs …

Disaster image classification by fusing multimodal social media data

Z Zou, H Gan, Q Huang, T Cai, K Cao - ISPRS International Journal of …, 2021 - mdpi.com
Social media datasets have been widely used in disaster assessment and management.
When a disaster occurs, many users post messages in a variety of formats, eg, image and …

Adversarial attacks and defenses for social network text processing applications: Techniques, challenges and future research directions

I Alsmadi, K Ahmad, M Nazzal, F Alam… - arXiv preprint arXiv …, 2021 - arxiv.org
The growing use of social media has led to the development of several Machine Learning
(ML) and Natural Language Processing (NLP) tools to process the unprecedented amount …

Adversarial nlp for social network applications: Attacks, defenses, and research directions

I Alsmadi, K Ahmad, M Nazzal, F Alam… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The growing use of media has led to the development of several machine learning (ML) and
natural language processing (NLP) tools to process the unprecedented amount of social …

[HTML][HTML] Emergency management through information crowdsourcing

L Grassi, M Ciranni, P Baglietto, CT Recchiuto… - Information Processing …, 2023 - Elsevier
This article proposes a new framework to model a scenario in which First Responders,
citizens, smart devices, or robots explore the environment in an emergency situation, ie, after …

Visual sentiment analysis using data-augmented deep transfer learning techniques

H Hong, W Zaheer, A Wali - Multimedia Systems, 2024 - Springer
The use of visual content to express emotions on social media platforms has become
increasingly popular. Visual sentiment analysis can be used to understand the sentiment …

A new multimodal sentiment analysis for images containing textual information

G Ahuja, A Alaei, U Pal - Multimedia Tools and Applications, 2024 - Springer
Multimodal sentiment analysis on images with textual content is a research area aiming to
understand the sentiment conveyed by visual and textual elements in the images. While …