{"id":"https://openalex.org/W4405755175","doi":"https://doi.org/10.1109/metroxraine62247.2024.10797107","title":"Neural Optimization for Pharmaceutical Transportation Under Stressful Conditions","display_name":"Neural Optimization for Pharmaceutical Transportation Under Stressful Conditions","publication_year":2024,"publication_date":"2024-10-21","ids":{"openalex":"https://openalex.org/W4405755175","doi":"https://doi.org/10.1109/metroxraine62247.2024.10797107"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine62247.2024.10797107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10797107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063998712","display_name":"Georgia Fargetta","orcid":"https://orcid.org/0000-0002-6444-1564"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Georgia Fargetta","raw_affiliation_strings":["University of Catania,Department of Mathematics and Computer Science,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Department of Mathematics and Computer Science,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076307306","display_name":"Alessandro Ortis","orcid":"https://orcid.org/0000-0003-3461-4679"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Ortis","raw_affiliation_strings":["University of Catania,Department of Mathematics and Computer Science,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Department of Mathematics and Computer Science,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["University of Catania,Department of Mathematics and Computer Science,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Department of Mathematics and Computer Science,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":0.6814,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69893899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"770","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.873199999332428,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.873199999332428,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12080","display_name":"Injection Molding Process and Properties","score":0.8337000012397766,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11460","display_name":"Analytical Methods in Pharmaceuticals","score":0.8177000284194946,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5758141875267029},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4711764454841614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36748284101486206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5758141875267029},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4711764454841614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36748284101486206}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine62247.2024.10797107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10797107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1979250322","https://openalex.org/W1984969638","https://openalex.org/W2136041258","https://openalex.org/W2137983211","https://openalex.org/W2903557836","https://openalex.org/W2904957288","https://openalex.org/W4205088867","https://openalex.org/W4223554962","https://openalex.org/W4235187882","https://openalex.org/W4285234538","https://openalex.org/W4307140917","https://openalex.org/W4309347194","https://openalex.org/W4322708947","https://openalex.org/W4323361788","https://openalex.org/W4361271595","https://openalex.org/W4380203036","https://openalex.org/W4385835680","https://openalex.org/W4386997766","https://openalex.org/W6843701786"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,47,111,146],"refined":[4],"model":[5],"for":[6,100],"supply":[7,104,142],"chain":[8,105,143],"competition":[9],"in":[10,16,118],"the":[11,37,40,59,70,77,80,84,92,108,123,140],"transportation":[12,74],"of":[13,23,39,46,86],"pharmaceutical":[14],"items,":[15],"stress":[17],"conditions":[18],"characterized":[19],"by":[20,35,44,62,114],"high":[21],"demands":[22],"critical":[24],"items":[25],"and":[26,121],"closures.":[27],"Each":[28],"shipper":[29,78],"aims":[30],"to":[31,72,79,102,138],"minimize":[32],"its":[33],"costs":[34,75],"optimizing":[36],"parameters":[38],"defined":[41],"cost":[42,124],"function":[43],"means":[45],"supervised":[48],"learning":[49],"approach":[50],"which":[51],"exploits":[52],"an":[53,135],"Artificial":[54],"Neural":[55,147],"Network":[56],"model.":[57],"Given":[58],"challenges":[60,117],"posed":[61],"emergency":[63],"situations,":[64],"we":[65,133],"focus":[66],"our":[67,89],"attention":[68],"on":[69],"imperative":[71],"optimize":[73],"from":[76,95],"destination,":[81],"while":[82],"considering":[83],"mode":[85],"shipment.":[87],"Specifically,":[88],"analysis":[90],"leverages":[91],"Health":[93],"dataset":[94],"US":[96],"Supply":[97],"Chain":[98],"Information":[99],"COVID-19":[101,109],"investigate":[103],"shipments":[106],"during":[107],"pandemic,":[110],"period":[112],"marked":[113],"significant":[115],"logistical":[116],"meeting":[119],"demand":[120],"minimizing":[122],"across":[125],"various":[126],"destination":[127],"countries.":[128],"Finally,":[129],"through":[130],"this":[131],"methodology,":[132],"present":[134],"illustrative":[136],"example":[137],"observe":[139],"optimal":[141],"solutions":[144],"using":[145],"Optimization":[148],"Machine.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
