[HTML][HTML] Exploring innovative techniques for damage control during natural disasters

M Maiti, P Kayal - Journal of Safety Science and Resilience, 2024 - Elsevier
The study critically examines the principles, mechanisms, and effectiveness of different
damage control techniques in dealing with natural disasters, emphasizing their pivotal role …

The role of large reservoirs in drought and flood disaster risk mitigation: A case of the Yellow River Basin

J Feng, T Qin, D Yan, X Lv, D Yan, X Zhang… - Science of the total …, 2024 - Elsevier
The acceleration of water cycle processes in the context of global warming will exacerbate
the frequency and intensity of extreme events and predispose to drought and flood disasters …

Hierarchical GNN Framework for Earth's Surface Anomaly Detection in Single Satellite Imagery

B Chen, Z Gao, Z Li, S Liu, A Hu… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Sudden-onset Earth's surface anomalies, such as natural disasters and man-made
incidents, pose severe threats to human life and property security, emphasizing the crucial …

Chemical, biological, radiological and nuclear event detection and classification using ontology interrogation and social media data

MT Alrefaie, TW Jackson, E Onojeharho… - … Applications of Artificial …, 2024 - Elsevier
In an era where chemical, biological, radiological, and nuclear (CBRN) incidents present a
grave threat to public safety, timely and accurate information is paramount. The complexity of …

Model-data matching method for natural disaster emergency service scenarios: implementation based on a knowledge graph and community discovery algorithm

H Liu, ZW Hu, Z Yang, M Wang - Natural Hazards, 2024 - Springer
Massive disaster-related data and model methods are available in different stages of natural
disaster emergency management; however, they often lack the representation of the …

Collaborative Crisis Management: A Coordination Science Framework to Enhance Stakeholder Responses to Emergencies

A Margherita, G Elia, G Solazzo, L Gatti… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Crises caused by a broad spectrum of emergency triggers are creating unprecedented
challenges for local and global institutions and business entities. The capacity of a system to …

Holistic decision-making for optimal siting of urban earthquake emergency shelters: an integrated ontology and fuzzy-AHP approach

Z Li, A Khudhair, H Li - International Journal of Fuzzy Systems, 2024 - Springer
Earthquakes are amongst the most destructive natural hazards, posing substantial risks to
urban populations and infrastructure. As cities grow and modernise, identifying optimal …

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI

S Dongre, R Chandra, S Agarwal - arxiv preprint arxiv:2407.20284, 2024 - arxiv.org
In modern healthcare, addressing the complexities of accurate disease prediction and
personalized recommendations is both crucial and challenging. This research introduces …

[PDF][PDF] Identifying Terms to Represent Concepts of a Work Process Ontology

MA Osman, SAM Noah, S Saad - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: To identify ontology concepts from text documents for the construction of work
process ontology. Methods: This study proposes a methodology to identify terms …

Ontology for Intelligent Disease Diagnosis

MK Harahap, MKM Nasution… - 2024 International …, 2024 - ieeexplore.ieee.org
This research develops a comprehensive ontology to improve intelligent disease diagnosis
by addressing gaps in current medical ontologies. By systematically organizing and …