AUTOMATED MACHINE LEARNING APPROACHES FOR EMERGENCY RESPONSE AND COORDINATION VIA SOCIAL MEDIA IN THE AFTERMATH OF A DISASTER: A REVIEW

Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review

Social media communication serves as an integral part of the crisis response following a mass emergency (disaster) event.Regardless of the kind of disaster event, whether it is a hurricane, a flood, an earthquake or a man-made disaster event like a riot or a terrorist attack, social media platforms like Facebook, Twitter etc.have Vacuum Tubes prove

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Adversarial Online Learning With Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity

We extend the adversarial/non-stochastic multi-play multi-armed bandit (MPMAB) to the Arm Chairs case where the number of arms to play is variable.The work is motivated by the fact that the resources allocated to scan different critical locations in an interconnected transportation system change dynamically over time and depending on the environmen

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Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management

Smartphone-based devices and applications (SBDAs) with cost effectiveness and remote sensing are the most promising and effective means of delivering mobile healthcare (mHealthcare).Several SBDAs have been commercialized for the personalized monitoring and/or management of basic physiological parameters, such as blood pressure, weight, body analysi

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