{"id":"https://openalex.org/W4416977892","doi":"https://doi.org/10.1007/s11227-025-08114-9","title":"Forecasting container throughput in Northwest Europe inland waterways: a data-driven approach","display_name":"Forecasting container throughput in Northwest Europe inland waterways: a data-driven approach","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4416977892","doi":"https://doi.org/10.1007/s11227-025-08114-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-025-08114-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-025-08114-9","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061480012","display_name":"Md Mehedi Hasan","orcid":"https://orcid.org/0000-0003-4952-0739"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Mehedi Hasan","raw_affiliation_strings":["Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University, Lubbock, TX, 79409, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University, Lubbock, TX, 79409, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013931363","display_name":"Senjuti Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senjuti Rahman","raw_affiliation_strings":["Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University, Lubbock, TX, 79409, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University, Lubbock, TX, 79409, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100713585","display_name":"Fan Bu","orcid":"https://orcid.org/0009-0001-2575-8737"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fan Bu","raw_affiliation_strings":["Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University, Lubbock, TX, 79409, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University, Lubbock, TX, 79409, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100713585"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.5997,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7488237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"81","issue":"18","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.004100000020116568,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5166000127792358},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4221999943256378},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.42010000348091125},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.41670000553131104},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.3986999988555908},{"id":"https://openalex.org/keywords/port","display_name":"Port (circuit theory)","score":0.3702999949455261},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.35989999771118164},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3425000011920929},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3174000084400177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785999774932861},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5166000127792358},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4221999943256378},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C32802771","wikidata":"https://www.wikidata.org/wiki/Q2443617","display_name":"Port (circuit theory)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.35989999771118164},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C3018003528","wikidata":"https://www.wikidata.org/wiki/Q5413","display_name":"Yangtze river","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-025-08114-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-025-08114-9","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1974750069","https://openalex.org/W1992893291","https://openalex.org/W2064675550","https://openalex.org/W2143718157","https://openalex.org/W2155261478","https://openalex.org/W2157331557","https://openalex.org/W2216946510","https://openalex.org/W2295598076","https://openalex.org/W2469666163","https://openalex.org/W2577001064","https://openalex.org/W2784614186","https://openalex.org/W2803179077","https://openalex.org/W2892748064","https://openalex.org/W2949676527","https://openalex.org/W2962752580","https://openalex.org/W2965398306","https://openalex.org/W2994662720","https://openalex.org/W2998806725","https://openalex.org/W3039526137","https://openalex.org/W3091914296","https://openalex.org/W3093256945","https://openalex.org/W3120887917","https://openalex.org/W3170410128","https://openalex.org/W3175098166","https://openalex.org/W3175794917","https://openalex.org/W3185785656","https://openalex.org/W3198282457","https://openalex.org/W3202795280","https://openalex.org/W4214890345","https://openalex.org/W4292307675","https://openalex.org/W4307103250","https://openalex.org/W4308394676","https://openalex.org/W4309749674","https://openalex.org/W4312026766","https://openalex.org/W4318147672","https://openalex.org/W4322096694","https://openalex.org/W4323923799","https://openalex.org/W4387588708","https://openalex.org/W4390750086","https://openalex.org/W4390949828","https://openalex.org/W4391880688","https://openalex.org/W4396958594","https://openalex.org/W4399580603","https://openalex.org/W4405934772","https://openalex.org/W4407722851","https://openalex.org/W4410107919","https://openalex.org/W4410989477","https://openalex.org/W4411048691","https://openalex.org/W4411394643","https://openalex.org/W4413446974","https://openalex.org/W4413932805"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-12-04T00:00:00"}
