AIMC Topic: Disasters

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Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model.

Journal of environmental management
Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood vulnerability assessment is becoming gradually relevant in the world. The purpose of this study is to develop an approach to reveal the relationship b...

River flood prediction using fuzzy neural networks: an investigation on automated network architecture.

Water science and technology : a journal of the International Association on Water Pollution Research
Urban floods are one of the most devastating natural disasters globally and improved flood prediction is essential for better flood management. Today, high-resolution real-time datasets for flood-related variables are widely available. These data can...

Roach Biobots: Toward Reliability and Optimization of Control.

IEEE pulse
Imagine a natural disaster, such as an earthquake, causing residential buildings to collapse and trapping the people inside underneath the rubble. Over the following days, first responders spend a significant amount of time locating survivors. Despit...

Extraction of actionable information from crowdsourced disaster data.

Journal of emergency management (Weston, Mass.)
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) m...

Artificial intelligence. Fears of an AI pioneer.

Science (New York, N.Y.)
From the enraged robots in the 1920 play R.U.R. to the homicidal computer H.A.L. in 2001: A Space Odyssey, science fiction writers have embraced the dark side of artificial intelligence (AI) ever since the concept entered our collective imagination. ...