[PDF][PDF] Internet of things based wireless sensor network: a review
Recently, internet of things (IoT) technologies are develo** technology with a variety of
applications. The IoT is defined as a network of ordinary objects such as Internet TVs …
applications. The IoT is defined as a network of ordinary objects such as Internet TVs …
A systematic review of existing early warning systems' challenges and opportunities in cloud computing early warning systems
This paper assessed existing EWS challenges and opportunities in cloud computing through
the PSALSAR framework for systematic literature review and meta-analysis. The research …
the PSALSAR framework for systematic literature review and meta-analysis. The research …
Artificial Intelligence based Models to Support Water Quality Prediction using Machine Learning Approach
The purpose of this study is to simulate the propagation of bio-contamination risk in Water
Distribution System (WDS). This will be accomplished by putting an emphasis on source …
Distribution System (WDS). This will be accomplished by putting an emphasis on source …
Facilitating adoption of AI in natural disaster management through collaboration
Artificial intelligence can enhance our ability to manage natural disasters. However,
understanding and addressing its limitations is required to realize its benefits. Here, we …
understanding and addressing its limitations is required to realize its benefits. Here, we …
Digitalisation for water sustainability: Barriers to implementing circular economy in smart water management
“Clean water and sanitation” is listed as one of the 17 United Nations' Sustainable
Development Goals and implementing circular economy principles in the water sector has …
Development Goals and implementing circular economy principles in the water sector has …
[HTML][HTML] Artificial intelligence for disaster risk reduction: Opportunities, challenges, and prospects
M Kuglitsch, A Albayrak, R Aquino, A Craddock… - Bulletin, 2022 - wmo.int
Artificial intelligence (AI), in particular machine learning (ML), is playing an increasingly
important role in disaster risk reduction (DRR)–from the forecasting of extreme events and …
important role in disaster risk reduction (DRR)–from the forecasting of extreme events and …
Sensors on the Internet of Things systems for urban disaster management: A systematic literature review
F Zeng, C Pang, H Tang - Sensors, 2023 - mdpi.com
The occurrence of disasters has the potential to impede the progress of sustainable urban
development. For instance, it has the potential to result in significant human casualties and …
development. For instance, it has the potential to result in significant human casualties and …
FLOODWALL: a real-time flash flood monitoring and forecasting system using IoT
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 world, causing damage to property ranging from human life to economic losses. Floods …
FLOODALERT: An internet of things based real-time flash flood tracking and prediction system
C Prakash, A Barthwal, D Acharya - Multimedia Tools and Applications, 2023 - Springer
In the past few decades, floods have become a severe problem, causing significant damage
across the world, ranging from economic losses to loss of property and human lives. It is not …
across the world, ranging from economic losses to loss of property and human lives. It is not …
A propagation study of LoRA P2P links for IoT applications: The case of near-surface measurements over semitropical rivers
Internet of Things (IoT) radio networks are becoming popular in several scenarios for short-
range applications (eg, wearables and home security) and medium-range applications (eg …
range applications (eg, wearables and home security) and medium-range applications (eg …