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19 results for “Disaster Management”
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Research ArticleOpen accessPhrase in the titleSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOR/MS Applications in Mt. Merapi Disaster ManagementAmril Aman, Toni Bakhtiar, Farida Hanum, Prapto Tri SupriyoProblem statement: Much of researches on the management of disaster deal with their social aspects such as sociological and psychological effects on communities. Recently there had been a growing credit of the demand for application of the operational research and management science matters in disaster management. This approach commonly utilizes decision theory, dynamical system and optimization technique to minimize the … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 19 Jun 2012 · 7,035 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Hybrid Routing Approach Comparison with AODV Protocol Regarding Speed for Disaster Management in MANETAbdul Majid Soomro, Mohd Farhan Bin Fudzee, Muzamil Hussain, Hafiz Muhammad SaimThe Mobile Ad-hoc Network (MANET) is a wireless, systematic, autonomous network that can be used in various situations without the need for central control. A disaster is a sudden event that disrupts normal activities. MANET can play an important role in a disaster situation. Situations where normal communication is already interrupted. The MANET route discovery is one of the most … …Journal of Computer Science, Vol. 18, Issue 3 · 26 Mar 2022 · 6,413 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLexicographically Maximum Dynamic Flow with Vertex CapacitiesPhanindra Prasad Bhandari, Shree Ram Khadka, Stefan Ruzika, Luca E. SchäferWe consider an evacuation planning problem in the sense of computing a feasible dynamic flow lexicographically maximizing the amount of flow entering a set of terminals with respect to a given prioritization and given vertex capacities. We propose a polynomial time algorithm for the static version of the problem and a pseudo-polynomial time algorithm for the dynamic case. We show … …Journal of Mathematics and Statistics, Vol. 16, Issue 1 · 24 Jul 2020 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMapping of Flood Risk Zones in Ala River Basin Akure, NigeriaOlajire Olabanji Olatona, O.A. Obiora-Okeke, J.R. AdewumiFloods are water induced disasters that lead to temporary inundation of dry land and cause serious damages in the affected location such as loss of lives and properties and destruction of infrastructures. Nigeria has experienced a lot of flood incidences and the impact of flood has also increased due to population growth coupled with uncontrolled developmental practices. The result of … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 7 Feb 2018 · 9,243 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Information Management System Model for the Industrial Incidents in Saudi Arabia: A Conceptual Framework Based on SDLC MethodologySaleh Al-ZahraniThe main focus of this study has been on the development of a conceptual framework for improving the current status of industrial accidents' control. The framework is aimed to use of ICT to improve the information exchange between the Civil Defence and Industrial Sector and to provide an information management system model for the Industrial Incidents Administration System (IIAS). The … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,922 accessesView PDFCite
Review ArticleOpen accessIn the abstractExploring Applications, Datasets, Algorithms, and Technologies in Satellite Image ProcessingBijeesh TV, Bejoy BJ, Michael Moses Thiruthuvanthan, Raju GAmidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessIn the abstractLandslide Susceptibility Mapping with GIS in Nagi Dada Area of Panauti Municipality, Kavrepalanchwok District: A Comparison Between AHP and FR MethodArju Bhattarai, HimLal Shrestha, Asim Timalsina et al.Landslide Susceptibility Maps (LSM) are useful for both development planning and disaster management. Currently, LSMs are primarily created using GIS and remote sensing techniques. Landslide susceptibility mapping relies heavily on selecting and weighting causative elements based on their impact on slope instability. GIS is useful for calculating static parameters such as slope and aspect, as well as generating landslide susceptibility … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 4 · 22 Aug 2024 · 7,093 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Performance of Supervised Learning Algorithms for Flood Prediction in Kemaman, TerengganuNur Najihah Shaaban, Norlida Hassan, Aida Mustapha, Salama A. MostafaFlood is one of the most destructive phenomena all over the world. Because the flooding uncertainties and the urgency to prepare for disaster management, three specific technique approaches are compared in this study to predict the flood occurrence based on historical rainfall data. The study involved the rainfall data in Kemaman, Terengganu between 2017 and 2018 extracted from the official … …Journal of Computer Science, Vol. 17, Issue 5 · 7 May 2021 · 6,887 accessesView PDFCite