Deep Learning Assist IoT Search Engine for Disaster Damage Assessment

Liang, Hengshuo; Burgess, Lauren; Liao, Weixian; Blasch, Erik; Yu, Wei

doi:10.1080/23335777.2022.2051210

Cyber-Physical Systems

2022

DOI: 10.1080/23335777.2022.2051210

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Deep Learning Assist IoT Search Engine for Disaster Damage Assessment

Hengshuo Liang

Lauren Burgess

Weixian Liao

et al.

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“…Bottom-up integration of machine learning, hybrid indexing, and queries, as well as raw data storage (RD-Stores) technologies for emergency situations. IoT hybrid index and query technique for instantaneous data retrieval from vast sensor sampling.Liang et al, (2022) [104] Disaster damage assessment Integration of DL techniques into the IoTSE system for disaster damage assessment. Two scenarios (Single and Complex Event Settings) and four CNN models.…”

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confidence: 99%

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

Damaševičius

Bačanin

Misra

2023

JSAN

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The advancement in technology has led to the integration of internet-connected devices and systems into emergency management and response, known as the Internet of Emergency Services (IoES). This integration has the potential to revolutionize the way in which emergency services are provided, by allowing for real-time data collection and analysis, and improving coordination among various agencies involved in emergency response. This paper aims to explore the use of IoES in emergency response and disaster management, with an emphasis on the role of sensors and IoT devices in providing real-time information to emergency responders. We will also examine the challenges and opportunities associated with the implementation of IoES, and discuss the potential impact of this technology on public safety and crisis management. The integration of IoES into emergency management holds great promise for improving the speed and efficiency of emergency response, as well as enhancing the overall safety and well-being of citizens in emergency situations. However, it is important to understand the possible limitations and potential risks associated with this technology, in order to ensure its effective and responsible use. This paper aims to provide a comprehensive understanding of the Internet of Emergency Services and its implications for emergency response and disaster management.

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confidence: 99%

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

Damaševičius

Bačanin

Misra

2023

JSAN

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Dual-path recommendation algorithm based on CNN and attention-enhanced LSTM

Cheng

et al. 2023

Cyber-Physical Systems

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Deep Learning Assist IoT Search Engine for Disaster Damage Assessment

Cited by 2 publications

References 50 publications

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

Dual-path recommendation algorithm based on CNN and attention-enhanced LSTM

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