{"id":"https://openalex.org/W7163426884","doi":"https://doi.org/10.1007/s10489-026-07317-8","title":"A hybrid CNN-BiLSTM model with squeeze-and-excitation attention and GSABO optimization for rock drilling time prediction in underground mines","display_name":"A hybrid CNN-BiLSTM model with squeeze-and-excitation attention and GSABO optimization for rock drilling time prediction in underground mines","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163426884","doi":"https://doi.org/10.1007/s10489-026-07317-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-026-07317-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-026-07317-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","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/A5137785847","display_name":"Ding Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Liu","raw_affiliation_strings":["School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137744208","display_name":"Ning Li","orcid":"https://orcid.org/0000-0001-8855-9527"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Li","raw_affiliation_strings":["School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, China"],"raw_orcid":"https://orcid.org/0000-0001-8855-9527","affiliations":[{"raw_affiliation_string":"School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046924735","display_name":"Qizhou Wang","orcid":"https://orcid.org/0000-0003-4883-1068"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhou Wang","raw_affiliation_strings":["School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5137744208"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67648186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.3440000116825104,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10892","display_name":"Drilling and Well Engineering","score":0.3440000116825104,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.2721000015735626,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10161","display_name":"Rock Mechanics and Modeling","score":0.15309999883174896,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7746999859809875},{"id":"https://openalex.org/keywords/drilling","display_name":"Drilling","score":0.6672000288963318},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5737000107765198},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5715000033378601},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4415000081062317},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.42089998722076416},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4016999900341034},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.37779998779296875}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7746999859809875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405999898910522},{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.6672000288963318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6021000146865845},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5737000107765198},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5715000033378601},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39250001311302185},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37720000743865967},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C42222113","wikidata":"https://www.wikidata.org/wiki/Q890894","display_name":"Measurement while drilling","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.302700012922287},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C108215451","wikidata":"https://www.wikidata.org/wiki/Q7263963","display_name":"Simulation modeling","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2587999999523163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-026-07317-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-026-07317-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2376314530","display_name":null,"funder_award_id":"2024ZD1003802","funder_id":"https://openalex.org/F4320316090","funder_display_name":"Ministry of Natural Resources of the People's Republic of China"},{"id":"https://openalex.org/G4978889503","display_name":null,"funder_award_id":"42271296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8435585778","display_name":null,"funder_award_id":"2023BEB040","funder_id":"https://openalex.org/F4320330031","funder_display_name":"Science and Technology Department of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320316090","display_name":"Ministry of Natural Resources of the People's Republic of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330031","display_name":"Science and Technology Department of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1964022399","https://openalex.org/W1968376774","https://openalex.org/W1999776804","https://openalex.org/W2006471147","https://openalex.org/W2013345849","https://openalex.org/W2037759417","https://openalex.org/W2041697362","https://openalex.org/W2129888542","https://openalex.org/W2169922724","https://openalex.org/W2282821441","https://openalex.org/W2308875878","https://openalex.org/W2494986759","https://openalex.org/W2731140830","https://openalex.org/W2752782242","https://openalex.org/W2757360138","https://openalex.org/W2768515907","https://openalex.org/W2908209012","https://openalex.org/W2914713622","https://openalex.org/W2944851425","https://openalex.org/W2955019849","https://openalex.org/W2955140379","https://openalex.org/W3034837210","https://openalex.org/W3040136479","https://openalex.org/W3109961563","https://openalex.org/W3134151110","https://openalex.org/W3146366485","https://openalex.org/W3174108661","https://openalex.org/W4241533720","https://openalex.org/W4280541219","https://openalex.org/W4311088269","https://openalex.org/W4312127559","https://openalex.org/W4362665748","https://openalex.org/W4379931612","https://openalex.org/W4389048751","https://openalex.org/W4405614453","https://openalex.org/W4409214221","https://openalex.org/W4409822269","https://openalex.org/W4410190906","https://openalex.org/W4413296900","https://openalex.org/W4413951897","https://openalex.org/W4415517940"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-05T06:17:00.636019","created_date":"2026-06-04T00:00:00"}
