Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda
Y Duan, JS Edwards, YK Dwivedi - International journal of information …, 2019 - Elsevier
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI
winters and springs. The rise of super computing power and Big Data technologies appear …
winters and springs. The rise of super computing power and Big Data technologies appear …
Data clustering: application and trends
GJ Oyewole, GA Thopil - Artificial Intelligence Review, 2023 - Springer
Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …
extracting meaningful information. The fact that no clustering algorithm can solve all …
Quantifying potential anthropogenic resources of buildings through hot spot analysis
This study estimates the amount of urban ores in Taipei City between 1965 and 2014 by
analyzing data of the buildings through statistics and geographical information systems …
analyzing data of the buildings through statistics and geographical information systems …
Explainable AI: The effect of contradictory decisions and explanations on users' acceptance of AI systems
C Ebermann, M Selisky… - International Journal of …, 2023 - Taylor & Francis
Providing explanations of an artificial intelligence (AI) system has been suggested as a
means to increase users' acceptance during the decision-making process. However, little …
means to increase users' acceptance during the decision-making process. However, little …
Spatial autocorrelation analysis of cargo trucks on highway crashes in Chile
CA Blazquez, B Picarte, JF Calderón… - Accident Analysis & …, 2018 - Elsevier
The growing number of cargo trucks on highway crashes in recent years due to the increase
in freight movement in Chile motivates this study to identify the formation of persistent crash …
in freight movement in Chile motivates this study to identify the formation of persistent crash …
Predicting urban waterlogging risks by regression models and internet open-data sources
In the context of climate change and rapid urbanization, urban waterlogging risks due to
rainstorms are becoming more frequent and serious in developing countries. One of the …
rainstorms are becoming more frequent and serious in developing countries. One of the …
Driving Force Exploration for Flash Flood Based on Mann–Kendall Test and Geographical Detector: A Case Study of Hainan Island, China
L Bin, W Yang, K Xu - Sustainability, 2023 - mdpi.com
Flash floods are among the deadliest hazards in China and have led to substantial
casualties and losses, especially on Hainan Island. Therefore, it is of great significance to …
casualties and losses, especially on Hainan Island. Therefore, it is of great significance to …
Artificial intelligence and machine learning in prehospital emergency care: A scoping review
ML Chee, ML Chee, H Huang, K Mazzochi, K Taylor… - Iscience, 2023 - cell.com
Our scoping review provides a comprehensive analysis of the landscape of artificial
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
A novel multi-objective optimization framework to allocate support funds for flash flood reduction based on multiple vulnerability assessment
W Yang, K Xu, C Ma, J Lian, X Jiang, Y Zhou, L Bin - Journal of Hydrology, 2021 - Elsevier
Support funds from national or subnational public spending provide essential assistance for
flash floods reduction all around the world. However, how to allocate support funds to …
flash floods reduction all around the world. However, how to allocate support funds to …
[HTML][HTML] A hierarchical clustering based panel data approach: a case study of regional incentives
The main objective of this research is to propose a novel approach based on panel data
analysis and hierarchical cluster analysis to investigate the determinants of foreign trade …
analysis and hierarchical cluster analysis to investigate the determinants of foreign trade …