<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-R1MNGKZ4</identifier><date>2025</date><creator>Bai, T.</creator><creator>Huang, L.</creator><creator>Jiang, D. Y.</creator><relation>documents/doc/R/URN_NBN_SI_doc-R1MNGKZ4_001.pdf</relation><relation>documents/doc/R/URN_NBN_SI_doc-R1MNGKZ4_001.txt</relation><format format_type="issue">1</format><format format_type="volume">20</format><format format_type="type">article</format><format format_type="extent">str. 99-115</format><identifier identifier_type="DOI">10.14743/apem2025.1.530</identifier><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID_HOST">265430019</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-R1MNGKZ4</identifier><language>eng</language><publisher publisher_location="Maribor">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>BY</rights><subject language_type_id="eng">container transportation demand forecasting</subject><subject language_type_id="eng">freight demand forecasting</subject><subject language_type_id="eng">homomorphic encryption</subject><subject language_type_id="slv">intermodalni transport</subject><subject language_type_id="slv">kontejnerski transport</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="slv">napovedovanje transportnih zahtev</subject><subject language_type_id="slv">prevoz tovora</subject><subject language_type_id="eng">privacy-preserving methods</subject><subject language_type_id="slv">razporejanje</subject><subject language_type_id="eng">resource allocation and scheduling</subject><subject language_type_id="eng">sample and feature selection</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="eng">vertical federated learning</subject><title>Privacy-preserving AI-based framework for container transportation demand forecasting in sea-rail intermodal systems</title></Record>