ArticleApplied bionics and biomechanics2020
Water Quality Prediction Using Artificial Intelligence Algorithms.
Article in Applied bionics and biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing.Sensors (Basel, Switzerland) · 2022Pooled it
- Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand.Food chemistry: X · 2024Review
- Smart Water Quality Monitoring with IoT Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2024Article
- Coastal groundwater quality prediction using objective-weighted WQI and machine learning approach.Environmental science and pollution research international · 2024Article
- An IoT Real-Time Potable Water Quality Monitoring and Prediction Model Based on Cloud Computing Architecture.Sensors (Basel, Switzerland) · 2024Article
- Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods.Entropy (Basel, Switzerland) · 2023Article
- Application of hybrid improved temporal convolution network model in time series prediction of river water quality.Scientific reports · 2023Article
- Deep learning approach for prediction and classification of potable water.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023Article
- An Evidence Theory Based Embedding Model for the Management of Smart Water Environments.Sensors (Basel, Switzerland) · 2023Article
- An Analytical Framework on Utilizing Various Integrated Multi-Trophic Scenarios for Basil Production.Plants (Basel, Switzerland) · 2023Article
- Retracted: Water Quality Prediction Using Artificial Intelligence Algorithms.Applied bionics and biomechanics · 2023Article
- Improving Water Quality Index Prediction Using Regression Learning Models.International journal of environmental research and public health · 2022Article
- Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India.Environmental science and pollution research international · 2022Article
- Groundwater Quality: The Application of Artificial Intelligence.Journal of environmental and public health · 2022Article
- Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm.PeerJ. Computer science · 2022Article
Corrections and comments
- Retraction · 2023-10-11Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last years, water quality has been threatened by various pollutants. Therefore, modeling and predicting water quality have become very important in controlling water pollution. In this work, advanced artificial intelligence (AI) algorithms are developed to predict water quality index (WQI) and water quality classification (WQC). For the WQI prediction, artificial neural network models, namely nonlinear autoregressive neural network (NARNET) and long short-term memory (LSTM) deep learning algorithm, have been developed. In addition, three machine learning algorithms, namely, support vector machine (SVM),
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.