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Titlebook: Water Informatics; Challenges and Solut Supreeti Kamilya,Arindam Biswas,Sheng-Lung Peng Book 2024 The Editor(s) (if applicable) and The Aut

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61#
發(fā)表于 2025-4-1 05:52:51 | 只看該作者
IoT-Enabled Water Quality Management System for Rural Areas of Bharuch District,crease water pollution. When the quality of the water is anomalous, an intelligent procedure for monitoring it analyses the sensor data automatically using IoT and notifies the water analyst right away. The beginning of machine-to-machine communication makes data analysis and communication easy and
62#
發(fā)表于 2025-4-1 06:57:03 | 只看該作者
A Cost-Effective IoT Model-Based Water Quality Testing Model, and the constituents for making the drinking water polluted are also becoming more. As a result, people are suffering from different types of health-related problems by drinking this type of polluted water. Finding or identifying the level of pollutant water or identifying the quality of water and
63#
發(fā)表于 2025-4-1 11:14:57 | 只看該作者
64#
發(fā)表于 2025-4-1 16:14:45 | 只看該作者
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發(fā)表于 2025-4-1 19:13:51 | 只看該作者
66#
發(fā)表于 2025-4-2 00:53:46 | 只看該作者
67#
發(fā)表于 2025-4-2 04:36:31 | 只看該作者
68#
發(fā)表于 2025-4-2 08:16:25 | 只看該作者
Groundwater Quality Monitoring Using Machine Learning and Image Processing Techniques,e-consuming, expensive and labour-intensive. In recent years, there has been an increase in interest in employing machine learning and image processing techniques to monitor groundwater quality. In this study, we reviewed different?methods?for monitoring groundwater quality utilising machine learnin
69#
發(fā)表于 2025-4-2 14:13:48 | 只看該作者
70#
發(fā)表于 2025-4-2 17:09:39 | 只看該作者
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