Water quality prediction using SWAT-ANN coupled approach
Efficient and accurate prediction of river water quality is challenging due to the complex
hydrological and environmental processes affecting their nature. The challenge is even …
hydrological and environmental processes affecting their nature. The challenge is even …
Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater
Studies have shown that excessive intake of fluoride into human body from drinking water
may cause fluorosis adversely affects teeth and bones. Fluoride in water is mostly of …
may cause fluorosis adversely affects teeth and bones. Fluoride in water is mostly of …
[PDF][PDF] Modeling and prediction of traffic noise levels
V Ramakrishna, N Saigiri, K Chakribabu… - IOSR J Eng …, 2021 - researchgate.net
Noise is unwanted sound and Noise due to traffic is increasing due to increasing vehicular
movement on the roads. The increased noise levels lead to several adverse impacts on …
movement on the roads. The increased noise levels lead to several adverse impacts on …
A quick prediction of hardness from water quality parameters by artificial neural network
R Roy, M Majumder - International Journal of Environment …, 2018 - inderscienceonline.com
Hardness is an important water quality parameter to determine the suitability of the water for
use in different purposes. The hardness of water is conventionally determined by EDTA …
use in different purposes. The hardness of water is conventionally determined by EDTA …
A machine learning approach to dental fluorosis classification
Fluoride in groundwater has been found to pose a severe public health threat in two villages
(Karataş and Sarım) of western Sanliurfa in the southeastern Anatolia region of Turkey …
(Karataş and Sarım) of western Sanliurfa in the southeastern Anatolia region of Turkey …
A review of application of artificial neural network in ground water modeling
Artificial Neural Networks (ANNs) are modelling tools having the ability to adapt to and learn
complex topologies of inter-correlated multidimensional data. ANNs are inspired by …
complex topologies of inter-correlated multidimensional data. ANNs are inspired by …
[PDF][PDF] Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater
MAMIY Aysegül, D Yetis - 2021 - researchgate.net
Studies have shown that excessive intake of fluoride into human body from drinking water
may cause fluorosis adversely affects teeth and bones. Fluoride in water is mostly of …
may cause fluorosis adversely affects teeth and bones. Fluoride in water is mostly of …
Determination of suitable ANN architecture for groundwater fluoride prediction
K Neeta, P Gopal - International Conference on Computational …, 2015 - Springer
Using soft computing methods is considered as an innovative approach for constructing a
computationally intelligent system, having humanlike expertise in a specific domain. They …
computationally intelligent system, having humanlike expertise in a specific domain. They …
[PDF][PDF] A Study on Water Quality Ranking in Rajam
V Ramakrishna - … of Engineering, Research and Technology, ISSN, 2017 - researchgate.net
Prediction of water quality for drinking purpose is essential as water sources are becoming
polluted rapidly. Conventional approaches for water quality prediction are (i) Assessment …
polluted rapidly. Conventional approaches for water quality prediction are (i) Assessment …
Predicting the Quality of Treated Water from an Activated Carbon Based Water Purifier Using Artificial Neural Network
R Roy - Asian Journal of Water, Environment and Pollution, 2019 - content.iospress.com
Automated water purifier is a convenient and widely used device for obtaining purified water.
However, performance of a system may vary over time and therefore monitoring of the …
However, performance of a system may vary over time and therefore monitoring of the …