Small data machine learning in materials science

P Xu, X Ji, M Li, W Lu - npj Computational Materials, 2023 - nature.com
This review discussed the dilemma of small data faced by materials machine learning. First,
we analyzed the limitations brought by small data. Then, the workflow of materials machine …

Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: a bibliometric summary

PV Thayyib, R Mamilla, M Khan, H Fatima, M Asim… - Sustainability, 2023 - mdpi.com
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …

Mapping the landscape of FinTech in banking and finance: A bibliometric review

DK Pandey, MK Hassan, V Kumari, YB Zaied… - Research in International …, 2024 - Elsevier
With a sample of 366 Scopus-indexed publications, we use the bibliometric and content
analysis method to present the publication trends in the FinTech literature in banking and …

Islamic finance in the era of financial technology: A bibliometric review of future trends

H Qudah, S Malahim, R Airout, M Alomari… - International Journal of …, 2023 - mdpi.com
This study focused on a current study on Islamic finance and financial technology as well as
prospective topics for future research. As a bibliometric and visualization tool for the Web of …

Past, present, and future of the application of machine learning in cryptocurrency research

YS Ren, CQ Ma, XL Kong, K Baltas… - Research in International …, 2022 - Elsevier
Cryptocurrency has captured the interest of financial scholars and become a major research
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …

Examining the factors affecting the adoption of blockchain technology in the banking sector: An extended UTAUT model

RK Jena - International Journal of Financial Studies, 2022 - mdpi.com
Technology innovation has dramatically transformed banks over time. Digital innovation in
the banking sector began with the introduction of money to replace barter systems, and then …

The application of artificial intelligence technology in shipping: A bibliometric review

G Xiao, D Yang, L Xu, J Li, Z Jiang - Journal of Marine Science and …, 2024 - mdpi.com
Artificial intelligence (AI) technologies are increasingly being applied to the shipping
industry to advance its development. In this study, 476 articles published in the Science …

Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework

S Gupta, W Ghardallou, DK Pandey… - Research in International …, 2022 - Elsevier
Using the technology–organization–environment framework, this study examines the factors
influencing the behavioral intention of insurance industry employees to adopt artificial …

Digital economy and business investment efficiency: Inhibiting or facilitating?

HUO Peng, W Luxin - Research in International Business and Finance, 2022 - Elsevier
The digital economy's integration with the real-world economy has revealed its remarkable
ability to transform and promote traditional industries and form new economic development …