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[HTML][HTML] Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management
Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
Urban drought challenge to 2030 sustainable development goals
In the first two decades of the 21st century, 79 global big cities have suffered extensively
from drought disaster. Meanwhile, climate change has magnified urban drought in both …
from drought disaster. Meanwhile, climate change has magnified urban drought in both …
[HTML][HTML] Bitcoin price prediction using machine learning: An approach to sample dimension engineering
Z Chen, C Li, W Sun - Journal of Computational and Applied Mathematics, 2020 - Elsevier
After the boom and bust of cryptocurrencies' prices in recent years, Bitcoin has been
increasingly regarded as an investment asset. Because of its highly volatile nature, there is a …
increasingly regarded as an investment asset. Because of its highly volatile nature, there is a …
Short term water demand forecast modelling using artificial intelligence for smart water management
Water is an important resource for life and its existence. Water demand is increasing with
increasing economic growth and population, while the water availability is continually …
increasing economic growth and population, while the water availability is continually …
Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
[HTML][HTML] A critical review of short-term water demand forecasting tools—what method should i use?
The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …
develop, their exposure to climate change effects also increases. In this scenario, urban …
Multimodal data fusion for systems improvement: A review
In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …
common for industrial engineering and operations research applications. There have been a …
Short-term water demand forecast based on deep learning method
Short-time water demand forecasting is essential for optimal control in a water distribution
system (WDS). Current methods (eg, time-series models and conventional artificial neural …
system (WDS). Current methods (eg, time-series models and conventional artificial neural …
Novel approach for burst detection in water distribution systems based on graph neural networks
Sustainable management of water resources is a key challenge for the well-being and
security of current and future society worldwide. In this regard, water utilities have to ensure …
security of current and future society worldwide. In this regard, water utilities have to ensure …
Industrial 6G-IoT and machine learning-supported intelligent sensing framework for indicator control strategy in sewage treatment process
In context of 6G mobile computing, the combination of Industrial Internet of Things (IoT) and
machine learning extends intelligent sensing ability to improve industrial operation …
machine learning extends intelligent sensing ability to improve industrial operation …