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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Singh, Nandini; Kumar, Pawan; George, Jossy P. Title A name given to the resource Bamboo Trade Dynamics: A Hybrid ARIMALSTM Forecasting Approach for Indias ExportImport Trends (20172025/26) Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1872 LNNS;pp.151-160 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-19678-1_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-19678-1_16</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038334881?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038334881?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh N., CHRIST (Deemed to Be University), Bangalore, India; Kumar P., CHRIST (Deemed to Be University), Bangalore, India; George J.P., CHRIST (Deemed to Be University), Bangalore, India Description An account of the resource Bamboo plays a dual role in Indias economy, serving as both an ecological safeguard and a driver of rural livelihoods. This paper examines bamboo exportimport flows between 2017 and 2025/26 using official trade statistics. A hybrid ARIMALSTM forecasting model is implemented to capture both linear and nonlinear patterns. Results demonstrate rising exports, stable imports, and higher predictive accuracy compared to ARIMA alone, confirming bamboos growing role in sustainable trade. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource ARIMA; Bamboo Trade; Export-Import; India; LSTM; Sustainable Economy Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303219677-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online