[HTML][HTML] A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review

P Akbarighatar, I Pappas, P Vassilakopoulou - International Journal of …, 2023 - Elsevier
As artificial intelligence (AI) is increasingly used in various industries, it becomes crucial for
organizations to enhance their capabilities and maturity in adopting AI responsibly. This …

A sustainable way forward: Systematic review of transformer technology in social-media-based disaster analytics

F Sufi - Sustainability, 2024 - mdpi.com
Transformer technologies, like generative pre-trained transformers (GPTs) and bidirectional
encoder representations from transformers (BERT) are increasingly utilized for …

[HTML][HTML] Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach

CJ Powers, A Devaraj, K Ashqeen, A Dontula… - International Journal of …, 2023 - Elsevier
During natural disasters, emergency communication systems become overloaded, and
people are forced to turn to social media to make requests for help. This study employs …

Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 …

Z Ma, L Li, L Hemphill, GB Baecher, Y Yuan - Sustainable Cities and …, 2024 - Elsevier
Effective disaster response is critical for communities to remain resilient and advance the
development of smart cities. Responders and decision-makers would benefit from reliable …

Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management

S Babbar, J Bedi - Neural Computing and Applications, 2023 - Springer
The practical applications of social media have raised the bar for real-time event detection
all over the globe. It has been deemed useful for extracting important data that enables …

[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

R Lamsal, MR Read, S Karunasekera - Knowledge-Based Systems, 2024 - Elsevier
Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …

[HTML][HTML] An exploration of the causal factors making an online course content popular & engaging

D Jatain, V Singh, N Dahiya - International Journal of Information …, 2023 - Elsevier
An education system consists of imparting knowledge, assessing the learners, collecting
feedback, analysing it, and taking proper measures to improve it. All these measures …

A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification

SS Dar, MK Karandikar, MZU Rehman, S Bansal… - Knowledge-Based …, 2024 - Elsevier
Social media has emerged as a critical platform for disseminating real-time information
during disasters. However, extracting actionable resource data, such as needs and …

[HTML][HTML] How can artificial intelligence and data science algorithms predict life expectancy-An empirical investigation spanning 193 countries

AE Ronmi, R Prasad, BA Raphael - International Journal of Information …, 2023 - Elsevier
Improving life expectancy, which is falling and declining globally, is getting harder,
especially given the limited economic resources in most parts of the world. This study seeks …

Fluorescence hyperspectral imaging technology combined with chemometrics for kiwifruit quality attribute assessment and non-destructive judgment of maturity

Z Zou, Q Wang, Q Wu, M Li, J Zhen, D Yuan, Y **ao… - Talanta, 2024 - Elsevier
Dry matter content (DMC), firmness and soluble solid content (SSC) are important indicators
for assessing the quality attributes and determining the maturity of kiwifruit. However …