IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models

Khalaf, Mohammed; Alaskar, Haya; Hussain, Abir Jaafar; Baker, Thar; Maamar, Zakaria; Buyya, Rajkumar; Liatsis, Panos; Khan, Wasiq; Tawfik, Hissam; Al‐Jumeily, Dhiya

doi:10.1109/access.2020.2986090

Cited by 54 publications

(21 citation statements)

References 46 publications

(43 reference statements)

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“…In the paper [63], an integrated model using the IoT and machine learning is proposed to predict water level and flood severity. Machine learning algorithm is used to analyze the nonlinear and dynamic characteristics of the flood sensor data set.…”

Section: The Role Of Iot In Ocean Disastersmentioning

confidence: 99%

Technology of Internet of Things Responding to Natural Disasters

Chen¹,

Shao²,

Zhu³

2021

EAI Endorsed Trans IoT

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Numerous countries have been affected by natural disasters, the seriousness of which consequences is self-evident, such as power failure, building collapse and communication interruption. With the rapid development of science and technology, the Internet of Things (IoT) has become one of the most important part of current information technology. More and more countries and regions have realized the significance of IoT in dealing with natural disasters and are making efforts to put IoT into use. This paper summarizes the latest progress of IoT with fog computing, swarm robots and other advanced technologies in coping with natural disasters on four aspects. It focuses on how the IoT and other information technologies can solve problems encountered in natural disasters to a certain extent.

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Section: The Role Of Iot In Ocean Disastersmentioning

confidence: 99%

Technology of Internet of Things Responding to Natural Disasters

Chen¹,

Shao²,

Zhu³

2021

EAI Endorsed Trans IoT

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“…These data mining algorithms are fast and efficient than the human and other manipulation process. A river flood prediction system [13] was proposed by analyzing the sensor informations with machine learning algorithms. The work was verified with LSTM and random forest algorithm to estimate the prediction accuracy.…”

Section: Related Workmentioning

confidence: 99%

December 2020

2020

JAICN

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Water is one of the basic resource need for every human in the world. The improper management of water storage system can lead a human life to any extent. As a result of technology development, the proposed model is developed to manage the water storage systems like dam and lake through remotely placed sensor signals. The sensors which are placed in the storage places gives the strength and storage capacity of the dam and lakes. Similarly the sensors which are placed at the sender dam or lake are used to predict the incoming water level to the receiver lake. This improves the prediction rate of flood in the river paths and this prediction allows the incoming dam to send off some waters outside to allocate some space for incoming waters. The data which are generated by the connected dams are stored in a cloud space for analyzing the water flow management. The sensors connected in a lake or dam is connected with IoT platform to avoid wire connections. Hence this model avoids sudden floods during rainy conditions and it ensures the physical strength of the lake and dam by continuous monitoring process.

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“…New business opportunities for IoT are evolving-one of them being the use of IoT in space-based exploration and use cases. With IoT connectivity technologies increasingly being combined with computing and large-scale data processing capabilities powered by Artificial Intelligence (AI) and Machine Learning (ML) technologies, this is an active area of research and development [15][16][17][18][19][20]. For instance, one of the key visions of the fifth/sixth generation (5G/6G) mobile networking technologies is to realise a Space, Air, Ground Integrated Network (SAGIN) [21,22].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

Kua

Arora

Loke

et al. 2021

Sensors

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Recent scientific and technological advancements driven by the Internet of Things (IoT), Machine Learning (ML) and Artificial Intelligence (AI), distributed computing and data communication technologies have opened up a vast range of opportunities in many scientific fields—spanning from fast, reliable and efficient data communication to large-scale cloud/edge computing and intelligent big data analytics. Technological innovations and developments in these areas have also enabled many opportunities in the space industry. The successful Mars landing of NASA’s Perseverance rover on 18 February 2021 represents another giant leap for humankind in space exploration. Emerging research and developments of connectivity and computing technologies in IoT for space/non-terrestrial environments is expected to yield significant benefits in the near future. This survey paper presents a broad overview of the area and provides a look-ahead of the opportunities made possible by IoT and space-based technologies. We first survey the current developments of IoT and space industry, and identify key challenges and opportunities in these areas. We then review the state-of-the-art and discuss future opportunities for IoT developments, deployment and integration to support future endeavors in space exploration.

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IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models

Cited by 54 publications

References 46 publications

Technology of Internet of Things Responding to Natural Disasters

Technology of Internet of Things Responding to Natural Disasters

December 2020

Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

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