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Titlebook: Recent Developments in Energy and Environmental Engineering; Select Proceedings o Rafid Al Khaddar,S. K. Singh,S. K. Jain Conference procee

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樓主: calcification
11#
發(fā)表于 2025-3-23 12:09:13 | 只看該作者
12#
發(fā)表于 2025-3-23 16:20:54 | 只看該作者
Drinking Water Quality Evaluation and Its Hydrochemical Aspects in the Kabul Basin, Afghanistan,most of the samples are classified as freshwater types (about 85%). The total hardness indicator of groundwater implies that about 90% of the water sample are very hard. A strong correlation exists between EC with TDS, Ca hardness with Ca, Alkalinity, and HCO., total coliform and F. coliform, which
13#
發(fā)表于 2025-3-23 18:23:42 | 只看該作者
Establishing a Preliminary Understanding of Loss and Damage in India: Case of Floods in Assam,mage research is becoming increasingly important. The following study examines the economic loss and damage caused by floods in Assam to determine the impact of extreme events. To judge the adequacy of the extent to which loss and damage are addressed, a detailed assessment of Assam‘s SAPCC (State A
14#
發(fā)表于 2025-3-24 00:42:10 | 只看該作者
Agriculture Risk Management and Resilience Building Through Community-Based Disaster Risk Reductionr Tel and Hati are the primary cause of flood situations. Crop cultivation depends on monsoon rain and if erratic rainfall happens, they face a drought situation. The study revealed that the risk management tools, such as government policies and insurance products are not working properly and commun
15#
發(fā)表于 2025-3-24 04:09:30 | 只看該作者
16#
發(fā)表于 2025-3-24 06:48:51 | 只看該作者
Comparing the Performance of Artificial Neural Network and Multiple Linear Regression in Prediction determination (.) and root mean squared error (RMSE). The modeling results showed that MLR performed better than ANN in predicting the EC, with higher . and lower RMSE values for both the training and testing stages. MLR can thus be used as a reliable model for making future predictions of the EC o
17#
發(fā)表于 2025-3-24 13:37:20 | 只看該作者
18#
發(fā)表于 2025-3-24 15:20:29 | 只看該作者
19#
發(fā)表于 2025-3-24 22:55:04 | 只看該作者
20#
發(fā)表于 2025-3-25 00:08:02 | 只看該作者
Smart Air Quality Management System (SAQMS) for Smart Villas,proposed system seamlessly and securely connects air quality improvement devices, wearable devices, mobile phones, emergency services, etc., thereby enabling a higher standard of living and healthier indoor air for the inhabitants.
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