Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improving Groundwater Forecasting Accuracy with a Hybrid ARIMA-XGBoost Approach. Subject The topic of the resource ARIMA-XGB; Decision Trees; Groundwater level prediction; LGBM; MAE; Random Forest; RMSE; Stacking and ensemble; XGB Description An account of the resource In addressing the critical challenge of accurate groundwater level prediction, this study explores the comparative performance of various machine learning models. We implement a novel hybrid model combining ARIMA and Extreme Gradient Boosting (XGB) for the prediction of groundwater levels, and compare it against traditional models including ARIMA, XGBoost, LightGBM, Random Forest, and Decision Trees. Traditional approaches often rely on single models; however, our research seeks to delve into the intricacies of hybrid model architectures. Combining the strengths of ARIMA and XGB, we aim to build a highly accurate and efficient groundwater level prediction system. Comprehensive evaluations were conducted using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE), The future scope of machine learning in water resource management includes integrating such models with real-time monitoring systems and expanding their applications to diverse environmental conditions and regions. 2024 IEEE. Creator An entity primarily responsible for making the resource George J.; Yadav J.; Nair A.M.; Peter M.V.; Alapatt B.P.; Baby R. Source A related resource from which the described resource is derived 2024 3rd International Conference for Advancement in Technology, ICONAT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICONAT61936.2024.10775242" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONAT61936.2024.10775242</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215003825&amp;doi=10.1109%2FICONAT61936.2024.10775242&amp;partnerID=40&amp;md5=cd9188f38eeb197b97f0d3b8f2107625" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215003825&amp;doi=10.1109%2fICONAT61936.2024.10775242&amp;partnerID=40&amp;md5=cd9188f38eeb197b97f0d3b8f2107625</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035417-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George J., CHRIST (Deemed to Be University), India; Yadav J., CHRIST (Deemed to Be University), India; Nair A.M., Luxsh Solutions Private Limited, India; Peter M.V., CHRIST (Deemed to Be University), India; Alapatt B.P., CHRIST (Deemed to Be University), India; Baby R., CHRIST (Deemed to Be University), India