Multi-objective optimization for improved project management: Current status and future directions

K Guo, L Zhang - Automation in Construction, 2022 - Elsevier
To realize project management improvement, many different objectives have to be
considered simultaneously due to the nature of complexity and uncertainty in construction …

Smart water technology for efficient water resource management: A review

AD Gupta, P Pandey, A Feijóo, ZM Yaseen, ND Bokde - Energies, 2020 - mdpi.com
According to the United Nation's World Water Development Report, by 2050 more than 50%
of the world's population will be under high water scarcity. To avoid water stress, water …

Connected sensors, innovative sensor deployment, and intelligent data analysis for online water quality monitoring

L Manjakkal, S Mitra, YR Petillot… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The sensor technology for water quality monitoring (WQM) has improved during recent
years. The cost-effective sensorised tools that can autonomously measure the essential …

Improving the spatial deployment of the soil moisture sensors in smart irrigation systems using GIS

Y Arafa, AGM El-Gindy, M El-Shirbeny… - Cogent Food & …, 2024 - Taylor & Francis
Abstract Incorporating the Internet of Things (IoT) and smart irrigation systems into
developing regions encounters significant financial constraints. To address this gap, this …

[HTML][HTML] Intelligent Edge-Cloud Framework for Water Quality Monitoring in Water Distribution System

EQ Shahra, W Wu, S Basurra, A Aneiba - Water, 2024 - mdpi.com
Ensuring consistent high water quality is paramount in water management planning. This
paper addresses this objective by proposing an intelligent edge-cloud framework for water …

Wdschain: A toolbox for enhancing the security using blockchain technology in water distribution system

HH Mahmoud, W Wu, Y Wang - Water, 2021 - mdpi.com
This work develops a toolbox called WDSchain on MATLAB that can simulate blockchain on
water distribution systems (WDS). WDSchain can import data from Excel and EPANET water …

Human health impact analysis of contaminant in IoT-enabled water distributed networks

EQ Shahra, W Wu, R Gomez - Applied Sciences, 2021 - mdpi.com
This paper aims to assess and analyze the health impact of consuming contaminated
drinking water in a water distributed system (WDS). The analysis was based on qualitative …

Placement strategies for water quality sensors using complex network theory for continuous and intermittent water distribution systems

A Namtirtha, KRS Kumar, S Jain… - Water Resources …, 2023 - Wiley Online Library
Water quality sensors are used to detect contamination in water distribution systems (WDSs)
to help supply safe and quality drinking water to society. However, identifying the optimal …

Deep learning for water quality classification in water distribution networks

EQ Shahra, W Wu, S Basurra, S Rizou - International Conference on …, 2021 - Springer
Maintaining high water quality is the main goal for water management planning and iterative
evaluation of operating policies. For effective water monitoring, it is crucial to test a vast …

Enhanced spatio-temporal electric load forecasts using less data with active deep learning

A Aryandoust, A Patt, S Pfenninger - Nature Machine Intelligence, 2022 - nature.com
An effective way to mitigate climate change is to electrify most of our energy demand and
supply the necessary electricity from renewable wind and solar power plants. Spatio …