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Application of machine learning in groundwater quality modeling-A comprehensive review
Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …
prediction of groundwater pollution due to various chemical components is vital for planning …
Prediction of groundwater quality indices using machine learning algorithms
The present paper deals with performance evaluation of application of three machine
learning algorithms such as Deep neural network (DNN), Gradient boosting machine (GBM) …
learning algorithms such as Deep neural network (DNN), Gradient boosting machine (GBM) …
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in develo** nations …
is often costly because many parameters are required, particularly in develo** nations …
A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks
Intelligent prediction of water quality plays a pivotal role in water pollution control, water
resource protection, emergency decision-making for sudden water pollution incidents …
resource protection, emergency decision-making for sudden water pollution incidents …
Predicting Irrigation Water Quality Indices Based on Data‐Driven Algorithms: Case Study in Semiarid Environment
Ascertaining water quality for irrigational use by employing conventional methods is often
time taking and expensive due to the determination of multiple parameters needed …
time taking and expensive due to the determination of multiple parameters needed …
Parametric evaluation techniques for reliability of Internet of Things (IoT)
Reliability analysis aims to assess the dependability and performance of a system over time,
considering factors such as device failures, communication issues, and data integrity. By …
considering factors such as device failures, communication issues, and data integrity. By …
[HTML][HTML] A multi-step approach to evaluate the sustainable use of groundwater resources for human consumption and agriculture
The rapid decline in both quality and availability of freshwater resources on our planet
necessitates their thorough assessment to ensure sustainable usage. The growing demand …
necessitates their thorough assessment to ensure sustainable usage. The growing demand …
Reliability on the Internet of Things with designing approach for exploratory analysis
The Internet of Things (IoT) proposes to transform human civilization so that it is smart,
practical, and highly efficient, with enormous potential for commercial as well as social and …
practical, and highly efficient, with enormous potential for commercial as well as social and …
Reliability and safety assessment of submarine pipeline stopper based on Fuzzy Comprehensive Dynamic Bayesian Network
J Wen, L Zhang, Z Guo, W Tang, S Shang, M Liu… - Ocean …, 2024 - Elsevier
The submarine pipeline stopper is an emergency device that can quickly seal damaged
pipelines. Investigating the stopper's dependability and safety is vital to ensure that …
pipelines. Investigating the stopper's dependability and safety is vital to ensure that …
[HTML][HTML] GALDIT modification for seasonal seawater intrusion map** using multi criteria decision making methods
Recently, coastal aquifers have been found to be increasingly exposed to seawater intrusion
(SWI) due to climate change and anthropogenic activities. Various method exists for coastal …
(SWI) due to climate change and anthropogenic activities. Various method exists for coastal …