AIMC Topic: Disasters

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The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness.

The American journal of emergency medicine Nov 2, 2020
Humans SARS-CoV-2 Disaster Planning Disasters Artificial Intelligence Pandemics COVID-19
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AiRobSim: Simulating a Multisensor Aerial Robot for Urban Search and Rescue Operation and Training.

Sensors (Basel, Switzerland) Sep 13, 2020
Unmanned aerial vehicles (UAVs), equipped with a variety of sensors, are being used to provide actionable information to augment first responders' situational awareness in disaster areas for urban search and rescue (SaR) operations. However, existing...
Disasters Rescue Work Computer Simulation Robotics
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Localization of Biobotic Insects Using Low-Cost Inertial Measurement Units.

Sensors (Basel, Switzerland) Aug 11, 2020
Disaster robotics is a growing field that is concerned with the design and development of robots for disaster response and disaster recovery. These robots assist first responders by performing tasks that are impractical or impossible for humans. Unfo...
Animals Robotics Insecta Locomotion Disasters Cockroaches
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Association Rule Learning Is an Easy and Efficient Method for Identifying Profiles of Traumas and Stressors that Predict Psychopathology in Disaster Survivors: The Example of Sri Lanka.

International journal of environmental research and public health Apr 21, 2020
Research indicates that psychopathology in disaster survivors is a function of both experienced trauma and stressful life events. However, such studies are of limited utility to practitioners who are about to go into a new post-disaster setting as (1...
Humans Survivors Stress Disorders, Post-Traumatic Sri Lanka Disasters Machine Learning Mental Disorders
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Machine Learning Methods to Predict Social Media Disaster Rumor Refuters.

International journal of environmental research and public health Apr 24, 2019
This research provides a general methodology for distinguishing disaster-related anti-rumor spreaders from a non-ignorant population base, with strong connections in their social circle. Several important influencing factors are examined and illustra...
Humans Social Media Disasters Machine Learning Logistic Models Support Vector Machine
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Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.

International journal of environmental research and public health Jan 28, 2019
The main goal of this study was to use the synthetic minority oversampling technique (SMOTE) to expand the quantity of landslide samples for machine learning methods (i.e., support vector machine (SVM), logistic regression (LR), artiļ¬cial neural netw...
Logistic Models Support Vector Machine Predictive Value of Tests Machine Learning Geographic Information Systems China Landslides Satellite Imagery Area Under Curve Disasters
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Predicting posttraumatic stress disorder following a natural disaster.

Journal of psychiatric research Sep 8, 2017
Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subsequently developing posttraumatic stress disorder (PTSD). Despite progress identifying risk factors, limited research has examined how to combine variable...
Area Under Curve Chile Disasters ROC Curve Logistic Models Prognosis Risk Assessment Prevalence Surveys and Questionnaires Interviews as Topic Stress Disorders, Post-Traumatic Humans Machine Learning Algorithms
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An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Computational intelligence and neuroscience Apr 27, 2016
In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement...
Safety Disasters Predictive Value of Tests Coal Humans Neural Networks, Computer Models, Genetic Algorithms Models, Theoretical Computer Simulation Fuzzy Logic Public Health
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Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.

Big data Feb 26, 2016
Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial...
Machine Learning Human Rights Animals Animals, Wild Remote Sensing Technology Crowdsourcing Humans Disasters Archaeology
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[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].

Psychiatrische Praxis Feb 9, 2016
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.
Newspapers as Topic Germany Journalism, Medical Social Stigma Persons with Psychiatric Disorders Disasters Accidents, Aviation Stereotyping Pilots Depressive Disorder, Major Humans Suicide Retrospective Studies Periodicals as Topic
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