Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
On the platform but will they buy? Predicting customers' purchase behavior using deep learning
A thorough understanding of online customer's purchase behavior will directly boost e-
commerce business performance. Existing studies have overtly focused on purchase …
commerce business performance. Existing studies have overtly focused on purchase …
Artificial neural network approaches for disaster management: A literature review
Disaster management (DM) is one of the leading fields that deal with the humanitarian
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11
Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …
sustainability, and good governance among cities. These benefits can support cities in …
The role of explainable Artificial Intelligence in high-stakes decision-making systems: a systematic review
B Sahoh, A Choksuriwong - Journal of Ambient Intelligence and …, 2023 - Springer
A high-stakes event is an extreme risk with a low probability of occurring, but severe
consequences (eg, life-threatening conditions or economic collapse). The accompanying …
consequences (eg, life-threatening conditions or economic collapse). The accompanying …
Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence
Purpose The global health crisis represents an unprecedented opportunity for the
development of artificial intelligence (AI) solutions. This paper aims to integrate explainable …
development of artificial intelligence (AI) solutions. This paper aims to integrate explainable …
Improving healthcare access management by predicting patient no-show behaviour
Low attendance levels in medical appointments have been associated with poor health
outcomes and efficiency problems for service providers. To address this problem, healthcare …
outcomes and efficiency problems for service providers. To address this problem, healthcare …
Machine learning for emergency management: A survey and future outlook
Emergency situations encompassing natural and human-made disasters, as well as their
cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms …
cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms …
[HTML][HTML] Locating and deploying essential goods and equipment in disasters using AI-enabled approaches: A systematic literature review
S Farazmehr, Y Wu - Progress in Disaster Science, 2023 - Elsevier
Locating, routing and deploying essential goods and equipment are proactive disaster
management strategies which received attention during recent decades. Many artificial …
management strategies which received attention during recent decades. Many artificial …