Towards design of Internet of Things and machine learning-enabled frameworks for analysis and prediction of water quality
The degradation of water quality has become a critical concern worldwide, necessitating
innovative approaches for monitoring and predicting water quality. This paper proposes an …
innovative approaches for monitoring and predicting water quality. This paper proposes an …
[HTML][HTML] Critical review on water quality analysis using IoT and machine learning models
P Jayaraman, KK Nagarajan, P Partheeban… - International journal of …, 2024 - Elsevier
Water quality and its management are the most precise concerns confronting humanity
globally. This article evaluates the various sensors used for water quality monitoring and …
globally. This article evaluates the various sensors used for water quality monitoring and …
Water quality monitoring: from conventional to emerging technologies
The rapid urbanization and industrial development have resulted in water contamination
and water quality deterioration at an alarming rate, deeming its quick, inexpensive and …
and water quality deterioration at an alarming rate, deeming its quick, inexpensive and …
Quality assessment and monitoring of river water using IoT infrastructure
The quality assessment of water is a challenging task due to extensive experimental
requirements. However, the process of water quality monitoring can be automated with the …
requirements. However, the process of water quality monitoring can be automated with the …
A hybrid machine learning and embedded IoT-based water quality monitoring system
IA Adeleke, NI Nwulu, OA Ogbolumani - Internet of things, 2023 - Elsevier
Since access to clean and safe water is one of life's most basic needs, the exponential
growth of the world's population makes it vital to guarantee a workable framework. Manually …
growth of the world's population makes it vital to guarantee a workable framework. Manually …
Smart IoT and machine learning-based framework for water quality assessment and device component monitoring
A Bhardwaj, V Dagar, MO Khan, A Aggarwal… - … Science and Pollution …, 2022 - Springer
Water is the most important natural element present on earth for humans, yet the availability
of pure water is becoming scarce and decreasing. An increase in population and rise in …
of pure water is becoming scarce and decreasing. An increase in population and rise in …
An efficient IoT based smart water quality monitoring system
Globally, water resources play a vital role regards to environment and health. Accurate
forecasting of water quality is the key to enhancing water management. To identify the water …
forecasting of water quality is the key to enhancing water management. To identify the water …
Water quality prediction based on machine learning and comprehensive weighting methods
X Wang, Y Li, Q Qiao, A Tavares, Y Liang - Entropy, 2023 - mdpi.com
In the context of escalating global environmental concerns, the importance of preserving
water resources and upholding ecological equilibrium has become increasingly apparent …
water resources and upholding ecological equilibrium has become increasingly apparent …
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Water quality variables, including chlorophyll-a (Chl-a), play a pivotal role in comprehending
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …
Proposition of new ensemble data-intelligence models for surface water quality prediction
An accurate prediction of water quality (WQ) related parameters is considered as pivotal
decisive tool in sustainable water resources management. In this study, five different …
decisive tool in sustainable water resources management. In this study, five different …