AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This study explores AI applications across the disaster management cycle from the perspective of Iranian experts to inform policymakers and practitioners in developing integrated, human-centered AI strategies for disaster management.
Uganda faces increasing natural disasters, including floods, landslides and droughts, which strain conventional disaster management systems. This study aims to examine the potential of artificial intelligence (AI) to enhance disaster resilience by strengthening early warning systems, response coordination and postd...
Despite extensive planning and well-established disaster management systems worldwide, each disaster reveals unique challenges in logistics, preparedness and response. So, this study aims to explore survivors’ experiences in disaster management after the February 6, 2023, Kahramanmaraş Earthquake in Türkiye....
Disasters continue to pose significant risks globally, highlighting the need for effective disaster management. This study explored the disaster management practices of the Barangay Kias Disaster Risk Reduction and Management Council (BDRRMC), with a focus on how seminars and training programs enhance members’ skills a...
Abstract. Disaster management requires accurate, reliable, and timely information to support effective decision making, particularly during emergency response situations. This study evaluates selected dimensions of DMIS implementation success - System Quality, Information Quality, User Satisfaction, and Decision-Making...
This paper discusses participatory approach to disaster risk management in Nigerian Urban Centers. It also presents general background to flood. Conceptual frame work: which highlights, concept of disaster, disaster risks and management as well as its categorization. The paper went on to discuss participatory developme...
Flood disasters are an increasing challenge for construction projects in Malaysia, particularly in flood-prone regions where climate variability, land-use change, and limited preparedness heighten site vulnerability. This study examines how Geographic Information Systems (GIS) and Remote Sensing (RS) can support flood...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.