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Analysis and Prognosis of Water Quality for River Ganga Using Water Quality Index
Due to increased industrialization and human density, the Ganga are becoming one of the most polluted rivers in the world. As a result, the Water...
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Artificial intelligence-assisted water quality index determination for healthcare
Groundwater resource analysis is an important technological means of avoiding disease and controlling water pollution. In this field of study, water...
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Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting
The water quality index (WQI) serves as a global representation of river water quality (WQ). Existing studies related to the WQI have mainly focused...
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Application of machine learning model optimized by improved sparrow search algorithm in water quality index time series prediction
Water quality index is an important indicator to evaluate the water quality of rivers. Machine learning models have been widely used in the task of...
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Water Quality Monitoring and Controlling Systems for Aquaculture
Due to large increases in demand for fish and seafood around the world, aquaculture has been a rapidly expanding sector. Shrimp, fish, and other...
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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...
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Estimation of Water Quality Parameters for Deepor Beel Using Landsat 8 Data
Monitoring the water quality of a wetland is very essential as it forms a major ecosystem in the environment. Although in situ wa-ter quality...
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Water quality prediction using machine learning models based on grid search method
Water quality is very dominant for humans, animals, plants, industries, and the environment. In the last decades, the quality of water has been...
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Application of T-S Fuzzy Neural Network in Water Quality Classification and Evaluation
Water quality classification and evaluation is an important part of water resources protection and development. In order to further improve the...
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An integrated framework for predicting air quality index using pollutant concentration and meteorological data
Everyone wishes to lead a healthy life, but the tremendous increase in air pollution affects our lives. The current tools can give updates on the Air...
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Eamlm: Enhanced Automated Machine Learning Model for IoT Based Water Quality Analysis with Real-Time Dataset
Abstract—In the present decade, the quality of water has become the major concern, because of the rapid increase of pollution on water resources....
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Water Quality Estimation from IoT Sensors Using a Meta-ensemble
Water quality estimation using machine learning is a type of data analysis process that uses algorithms to identify patterns in large sets of data...
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A water quality prediction method based on k-nearest-neighbor probability rough sets and PSO-LSTM
Water security has attracted a lot of attention in the world, and water quality assessment is the main task to ensure water security. In China, as an...
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Analysis and ANN Modeling of Water Quality of Ramsar Site of Assam
This paper presents the water quality status of Deepor Beel which is a perennial freshwater lake and the Ramsar site in Assam. Now, its ecological...
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A Comparative Analysis of Multivariate Statistical Time Series Models for Water Quality Forecasting of the River Ganga
Water plays an important role in the livelihood of mankind. Hence, water that is used for agriculture, marine culture, human consumption, etc.,...
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River Water Quality Prediction and Analysis–Deep Learning Predictive Models Approach
In depth research about river water qualities are no more outlandish nowadays due to river water pollutions and contaminations. In order to have an...
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Correlation Analysis of Water Temperature and Dissolved Oxygen Based on Water Quality Monitoring Data
The content of dissolved oxygen in water is an important index to detect and evaluate water quality, and the change of its concentration is greatly...
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Response of Urban Park Visitor Behavior to Water Quality in Bei**g
Based on the big data of remote sensing observation and mobile phone signaling, we put forward two quantitative indices that objectively characterize...
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AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis
The discipline of forecasting and prediction is witnessing a surge in the application of these techniques as a direct result of the strong empirical...
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Multi Node Water Quality Monitoring System of Fish Pond Based on Unmanned Ship Technology
In order to better improve the multi node water quality of fish pond, a design method of multi node water quality monitoring system of fish pond...