Handelshøyskolen
Collections in this community
Recent Submissions
-
Spatial Prediction of Fluvial Flood in High-Frequency Tropical Cyclone Area Using TensorFlow 1D-Convolution Neural Networks and Geospatial Data
(Peer reviewed; Journal article, 2023)Fluvial floods endure as one of the most catastrophic weather-induced disasters worldwide, leading to numerous fatalities each year and significantly impacting socio-economic development and the environment. Hence, the ... -
The implication of a translational triage tool in mass casualty incidents: part three: a multinational study, using validated patient cards
(Peer reviewed; Journal article, 2023)Background: Mass casualty incidents (MCI) pose significant challenges to existing resources, entailing multiagency collaboration. Triage is a critical component in the management of MCIs, but the lack of a universally ... -
Assessing Thai Hospitals’ Evacuation Preparedness Using the Flexible Surge Capacity Concept and Its Collaborative Tool
(Peer reviewed; Journal article, 2023)According to the concept of “flexible surge capacity,” hospitals may need to be evacuated on two occasions: (1) when they are exposed to danger, such as in war; and (2) when they are contaminated, such as during the Covid-19 ... -
Assessing different measures of fire risk for Cultural World Heritage Sites
(Peer reviewed; Journal article, 2023)This study aims to assess whether two publicly available sources of fire threats to 346 Cultural World Heritage Sites across Europe substitute or complement each other. By doing so, a novel measure based on information ... -
A New Approach Based on Balancing Composite Motion Optimization and Deep Neural Networks for Spatial Prediction of Landslides at Tropical Cyclone Areas
(Peer reviewed; Journal article, 2023)Landslides are a significant geological hazard that annually cause extensive damage and loss of life worldwide. Therefore, it is crucial to have reliable prediction models for landslide susceptibility in order to identify ... -
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
(Peer reviewed; Journal article, 2023)Floods remain one of the most devastating weather-induced disasters worldwide, resulting in numerous fatalities each year and severely impacting socio-economic development and the environment. Therefore, the ability to ... -
Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping
(Peer reviewed; Journal article, 2023)This paper presents a new hybrid ensemble modeling method called BBO-DE-STreeEns for land-slide susceptibility mapping in Than Uyen district, Vietnam. The method uses subbagging and random subspacing to generate subdatasets ... -
The impact of the three-level collaboration exercise on collaboration and leadership during scenario-based hospital evacuation exercises using flexible surge capacity concept: a mixed method cross-sectional study
(Peer reviewed; Journal article, 2023)Background: Hospitals play a crucial role in responding to disasters and public health emergencies. However, they are also vulnerable to threats such as fire or flooding and can fail to respond or evacuate adequately due ... -
Å forme et kreativt blikk: Fotografi i samspill mellom teknisk ferdighet og bildeforståelse
(Peer reviewed; Journal article, 2023)Artikkelen omhandler hva det vil si å lære seg å ta gode bilder, og bruker dette som utgangspunkt for å diskutere forholdet mellom meningsskaping og kunnskaps- og ferdighetstilegning. Vi tar utgangspunkt i forholdet mellom ... -
Disaster Collaborative Exercises for Healthcare Teamwork in a Saudi Context
(Peer reviewed; Journal article, 2023)This study aimed to evaluate the development of healthcare teamwork during and after the collaboration tabletop exercises, through observation and interview methods. Integration and maturity theoretical models were employed ... -
Advertising during the COVID-19 Pandemic: Trends and Theoretical Developments
(Peer reviewed; Journal article, 2023)This study examines how the COVID-19 pandemic affected the trends and theoretical development of advertising research. By using appropriate keywords, this research selected 210 articles from the Web of Science database. ... -
Digital farming based on a smart and user-friendly IoT irrigation system: A conifer nursery case study
(Peer reviewed; Journal article, 2023)Although digital technologies on farms bridge the productivity-sustainability gap, they are not yet widely adopted. Familiarising farmers with digital systems is as important as developing advanced technological platforms: ... -
Entrepreneurship and economic growth: Evidence from the emerging BRICS economies
(Peer reviewed; Journal article, 2023)Entrepreneurship has recently attracted great attention from researchers due to its enormous growth-enhancing effects. However, the empirical literature has not paid sufficient attention to the explicit relationship between ... -
Trade Openness and Inflation Rate in China: Empirical Evidence from Time Series Data
(Peer reviewed; Journal article, 2023)This study empirically examines the influence of trade openness on the rate of inflation by focusing on the Chinese economy. The study utilizes data covering the period 1987–2019 and employs the autoregressive distributed ... -
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions
(Peer reviewed; Journal article, 2023)Identifying areas with high groundwater spring potential is crucial as it enables better decision-making concerning water supply, sustainable development, and the protection of sensitive ecosystems; therefore, it is necessary ... -
Co-operative investment by downstream rivals: network sharing in telecom markets
(Peer reviewed; Journal article, 2023)Ever-increasing data consumption and evolving technologies make cooperation on investments and network sharing crucial issues in mobile telecommunications markets. In this paper, we analyze incentives for cooperation and ... -
Utilization of Augmented Reality Technique for Sewer Condition Visualization
(Peer reviewed; Journal article, 2023)Wastewater pipelines are largely buried underground, and techniques for assessing and visualizing their condition are critical for planning and rehabilitation. This paper introduces a framework for integrating Geographic ... -
COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
(Peer reviewed; Journal article, 2023)COVID-19 has brought significant changes to our political, social, and technological landscape. This paper explores the emergence and global spread of the disease and focuses on the role of Artificial Intelligence (AI) in ... -
Multi-criteria decision making-based waste management: A bibliometric analysis
(Peer reviewed; Journal article, 2023)Waste management is a complex research domain. While the domain is challenging in terms of content, it is also a diverse and cross-disciplinary research subject. One of its important components includes efficient decision-making ... -
ChatGPT: A brief narrative review
(Peer reviewed; Journal article, 2023)In this study, we present a brief narrative review focused on ChatGPT, a state-of-the-art conversational agent developed using OpenAI’s Generative Pretrained Transformer (GPT) framework. Distinctive for its ability to ...