Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges

Y Feng, X Huang, M Sester - International Journal of Geographical …, 2022 - Taylor & Francis
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …

[HTML][HTML] Evaluation of corporate requirements for smart manufacturing systems using predictive analytics

R Sharma, B Villányi - Internet of Things, 2022 - Elsevier
Smart manufacturing systems (SMS) are one of the most important applications in the
Industry 4.0 era, offering numerous advantages over traditional production systems and …

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 …

Affective image content analysis: Two decades review and new perspectives

S Zhao, X Yao, J Yang, G Jia, G Ding… - … on Pattern Analysis …, 2021 - ieeexplore.ieee.org
Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …

MEDIC: a multi-task learning dataset for disaster image classification

F Alam, T Alam, MA Hasan, A Hasnat, M Imran… - Neural Computing and …, 2023 - Springer
Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …

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 …

Visual sentiment analysis from disaster images in social media

SZ Hassan, K Ahmad, S Hicks, P Halvorsen… - Sensors, 2022 - mdpi.com
The increasing popularity of social networks and users' tendency towards sharing their
feelings, expressions, and opinions in text, visual, and audio content have opened new …

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 …

Emotion-based end-to-end matching between image and music in valence-arousal space

S Zhao, Y Li, X Yao, W Nie, P Xu, J Yang… - Proceedings of the 28th …, 2020 - dl.acm.org
Both images and music can convey rich semantics and are widely used to induce specific
emotions. Matching images and music with similar emotions might help to make emotion …

Progressive visual content understanding network for image emotion classification

J Pan, S Wang - Proceedings of the 31st ACM International Conference …, 2023 - dl.acm.org
Most existing methods for image emotion classification extract features directly from images
supervised by a single emotional label. However, this approach has a limitation known as …