Name: Labelling-Based Information Management Systems in Disasters and Emergencies
SKU: 1-5275-8232-9
Availability: InStock

Labelling-Based Information Management Systems in Disasters and Emergencies

Edited By: Mehmet Sinan Başar

From £32.99

This volume provides a theoretical background for labelling disaster victims and protecting their information. It discusses information processing and AI techniques to assist in disaster response and will be of interest to researchers in disaster, emergency, and data management.

This volume provides a theoretical background for studies on the labelling of disaster victims in disasters and emergencies and to protect the information revealed during…

This volume provides a theoretical background for studies on the labelling of disaster victims in disasters and emergencies and to protect the information revealed during the entire response process. It will be of interest to researchers working on disaster management and emergency management, especially in data and information management. In addition to storing and transmitting information to be obtained in all processes related to disaster victims, information processing, and artificial intelligence techniques that will assist in obtaining more information about disaster victims are also discussed here.

Mehmet Sinan Başar is an Associated Professor at the Open Education Faculty of Atatürk University Erzurum, Turkey. He has published a number of journal articles and book chapters, and his research focuses on management information systems.

Ayça Çalbay, Gülşen Çığşar, Atıf Bayramoğlu, Murat Özdemir, Mehmet Nuri Koçak, Fatma Çakmak, Kemak Koçak, Ali Utku Şahin, Hilal Kübra Sağlam, Emrah Şimşek, Emre Çintaş, Sinan Kul, Ferhat Bozkurt, M. Fatih Alaeddinoglu, Handan Çitçi

Hardback

ISBN: 1-5275-8232-9
ISBN13: 978-1-5275-8232-3
Date of Publication: 2022-03-23

Paperback

ISBN: 1-0364-2769-2
ISBN13: 978-1-0364-2769-6
Date of Publication: 2024-12-13

Ebook

ISBN: 1-5275-8233-7
ISBN13: 978-1-5275-8233-0
Date of Publication: 2024-12-13

Categories: Health Science, Medicine, Emergency Medicine, Library and Information Science, Business

Pages: 195

Subject Codes:

BIC: MMK, GLC, KJ
THEMA: MKP, GLC, KJ