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Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages - Using Thunderstorm and Cyclone as Case Studies

Singla Annie, Agrawal Rajat, Linh Nguyen Thi Dieu

Annals of Computer Science and Information Systems

2021

Vol. 28

273--275

We present a framework to ameliorate the classification of disaster-related social media messages. In the present work, we have incorporated the Convolutional Neural Network, and Long Short-Term Memory Network. To demonstrate the applicability and effectiveness of the proposed approach, it is applied to the thunderstorm and cyclone Fani dataset. The results indicate that CNN is better than the LSTM model with an accuracy score of 0.9999 (99.99%) and loss score of 0.0410. The output from the research study is helpful for disaster managers to make effective decisions on time.

International organisations for aid and disaster relief

Vladova A.

Zeszyty Naukowe Akademii Sztuki Wojennej

2018

nr 2(111)

26--41

Natural disasters have shown humanity in the past and continue to prove the devastating strength of the Earth itself. However, in order to relieve their effects, numerous organisations which cooperate on local, national, and international levels have been appointed. The aim of the article is to outline contemporary international organisations for aid and disaster. Starting with the base structure characteristics, this article will reveal the core mission of international organisations for aid. The analysis will be supported with examples of international cooperation and specific achievements of the organisations including the perspective of the past 8 years. In the conclusions, the author argues that educational and informative actions are necessary to enhance cooperation among different organisations and their stakeholders.

Community involvement into incident management structure : Lithuanian and Ukrainian case study

Survila A., Smalskys V., Novikovas A., Tvaronaviciene A., Shapoval R.

Polish Journal of Management Studies

2017

Vol. 16, No. 1

248--258

The experience of different countries demonstrates that community involvement in response phase of disaster management actions increase the resources of authorities and allow to eliminate consequences with lower costs as well as to earn public trust. The aim of this article is to assess the possibilities of involving communities in incident management system of disasters for effective disaster management from the point of view of management, public administration and law. The authors analyze incident management structure within a disaster and the Lithuanian and Ukrainian legal regulation whether regulations applicable in the aforementioned countries provide for community involvement in disaster management.

Doświadczenia różnych krajów pokazują, że zaangażowanie społeczności w fazę reagowania w przypadku działań związanych z zarządzaniem katastrofami zwiększa zasoby władz i pozwala eliminować konsekwencje związane z niższymi kosztami, a także zdobyć zaufanie publiczne. Celem tego artykułu jest ocena możliwości zaangażowania społeczności w system zarządzania incydentami w celu skutecznego zarządzania katastrofami z punktu widzenia zarządzania, administracji publicznej i prawa. Autorzy analizują strukturę zarządzania incydentami w czasie katastrofy oraz litewskie i ukraińskie regulacje prawne zapewniające zaangażowanie społeczności w zarządzanie katastrofami.