Recent advances in internet of things solutions for early warning systems: A review

M Esposito, L Palma, A Belli, L Sabbatini, P Pierleoni - Sensors, 2022 - mdpi.com
Natural disasters cause enormous damage and losses every year, both economic and in
terms of human lives. It is essential to develop systems to predict disasters and to generate …

A comprehensive review on applications of Raspberry Pi

SE Mathe, HK Kondaveeti, S Vappangi… - Computer Science …, 2024 - Elsevier
Raspberry Pi is an invaluable and popular prototy** tool in scientific research for
experimenting with a wide variety of ideas, ranging from simple to complex projects. This …

[HTML][HTML] Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations

S Gupta, S Modgil, A Kumar, U Sivarajah… - International Journal of …, 2022 - Elsevier
Natural disasters are often unpredictable and therefore there is a need for quick and
effective response to save lives and infrastructure. Hence, this study is aimed at achieving …

Deploying digitalisation and artificial intelligence in sustainable development research

W Leal Filho, P Yang, JHPP Eustachio, AM Azul… - Environment …, 2023 - Springer
Many industrialised countries have benefited from the advent of twenty-first century
technologies, especially automation, that have fundamentally changed manufacturing and …

A review of logistics internet-of-things: Current trends and scope for future research

H Golpîra, SAR Khan, S Safaeipour - Journal of Industrial Information …, 2021 - Elsevier
The emerging context of Logistics Internet-of-Things (L-IoT) has attracted tremendous
attention from practitioners and academics during the past decade. Evidence of this growing …

[HTML][HTML] Wildfire monitoring based on energy efficient clustering approach for FANETS

S Bharany, S Sharma, J Frnda, M Shuaib, MI Khalid… - Drones, 2022 - mdpi.com
Forest fires are a significant threat to the ecological system's stability. Several attempts have
been made to detect forest fires using a variety of approaches, including optical fire sensors …

FLOODWALL: a real-time flash flood monitoring and forecasting system using IoT

C Prakash, A Barthwal, D Acharya - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In recent years, flooding has become a major problem, encountered in many places all over
the world, causing damage to property ranging from human life to economic losses. Floods …

The rise of AI optoelectronic sensors: From nanomaterial synthesis, device design to practical application

S Zhang, S Wei, Z Liu, T Li, C Li, XL Huang… - Materials Today …, 2022 - Elsevier
We have seen the significant influence of the information revolution brought about by
optoelectronic sensing technologies on human civilization over the last few decades …

Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane

N Kankanamge, T Yigitcanlar, A Goonetilleke - Telematics and Informatics, 2021 - Elsevier
In recent years, artificial intelligence (AI) is being increasingly utilised in disaster
management activities. The public is engaged with AI in various ways in these activities. For …

[HTML][HTML] A stratified decision-making model for long-term planning: Application in flood risk management in Scotland

A Vafadarnikjoo, K Chalvatzis, T Botelho, D Bamford - Omega, 2023 - Elsevier
In a standard decision-making model for a game of chance, the best strategy is chosen
based on the current state of the system under various conditions. There is however a …