An efficient IoT based prediction system for classification of water using novel adaptive incremental learning framework

Author:

Nemade Bhushankumar,Shah Deven

Publisher

Elsevier BV

Subject

General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Water Quality Estimation and Anomaly Detection: A Review;EAI Endorsed Transactions on Internet of Things;2023-10-18

2. XGBoost Based Machine Learning Techniques for Water Quality Prediction;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

3. An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation;Journal of Environmental Management;2023-02

4. Prediction of water quality parameters by IoT and machine learning;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

5. Smart Water Quality Prediction Using Atom Search Optimization with Fuzzy Deep Convolutional Network;Sustainability;2022-12-08

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