Intelligent Gas Detection: gC3N4/Polypyrrole Decorated Alginate Paper as Smart Selective NH3/NO2 Sensors at Room Temperature
J Liang, Z Zou, Z Zhao, B Hui, W Tian… - Inorganic …, 2024 - ACS Publications
Chemiresistive NH3/NO2 sensors are attracting considerable attention for use in air-
conditioning systems. However, the existing sensors suffer from cross-sensitivity, detection …
conditioning systems. However, the existing sensors suffer from cross-sensitivity, detection …
[HTML][HTML] An efficient IoT based prediction system for classification of water using novel adaptive incremental learning framework
B Nemade, D Shah - Journal of King Saud University-Computer and …, 2022 - Elsevier
Creating an adaptive, accurate, and reliable model is a universal problem. Machine learning
models give poor accuracy on unseen data, and therefore, the testing accuracy of the …
models give poor accuracy on unseen data, and therefore, the testing accuracy of the …
Neural network-based modeling of water quality in Jodhpur, India
In this paper, the quality of a source of drinking water is assessed by measuring eight water
quality (WQ) parameters using 710 samples collected from a water-stressed region of India …
quality (WQ) parameters using 710 samples collected from a water-stressed region of India …
The use of artificial neural networks to predict the physicochemical characteristics of water quality in three district municipalities, Eastern Cape Province, South Africa
Reliable prediction of water quality changes is a prerequisite for early water pollution control
and is vital in environmental monitoring, ecosystem sustainability, and human health. This …
and is vital in environmental monitoring, ecosystem sustainability, and human health. This …
A review of the current status of the water quality in the Nile water basin
Background Water contamination has become one of the most challenging problems to
clean water supply and infrastructure in the twenty-first century. Accordingly, access to clean …
clean water supply and infrastructure in the twenty-first century. Accordingly, access to clean …
Classification of water potability using machine learning algorithms
MIK Haq, FD Ramadhan, F Az-Zahra… - … Intelligence and Big …, 2021 - ieeexplore.ieee.org
Clean water is one of the basic needs of everyday life. Recently, an ongoing process has
been shown to improve water quality, making water less suitable for use. To solve this …
been shown to improve water quality, making water less suitable for use. To solve this …
Treatability influence of municipal sewage effluent on surface water quality assessment based on Nemerow pollution index using an artificial neural network
Assessing water quality provides a scientific foundation for the development and
management of water resources. The objective of the research is to evaluate the impact …
management of water resources. The objective of the research is to evaluate the impact …
Knowledge-driven and machine learning decision tree-based approach for assessment of geospatial variation of groundwater quality around coal mining regions …
The present study is aimed to assess the spatial variation of groundwater quality based on
the influencing hydrogeological parameters in the surrounding mining areas of India's one of …
the influencing hydrogeological parameters in the surrounding mining areas of India's one of …
[PDF][PDF] Artificial neural network modeling for predicting the quality of water in the Sabak Bernam River
F Affandi, MFA Rahman, AIC Ani… - Indonesian Journal of …, 2022 - academia.edu
Water quality prediction is aided by environmental monitoring, ecological sustainability, and
aquaculture. Traditional prediction approaches capture the nonlinearity and non-stationarity …
aquaculture. Traditional prediction approaches capture the nonlinearity and non-stationarity …
Prediction of climate change on surface water using NARX neural network model: a case study on Ghezel Ozan River, Northwest, Iran
S Mohammadi, S Karimi, AA Mohammadi… - Desalination and Water …, 2023 - Elsevier
The quantity and quality of surface waters are affected by climate change. Therefore, the
study of the impact of climate change on surface water is very important. In the first part of the …
study of the impact of climate change on surface water is very important. In the first part of the …