{"id":"https://openalex.org/W7140201586","doi":"https://doi.org/10.1016/j.suscom.2026.101344","title":"DNN-XGBoost framework for CO2 emissions prediction based on binary whale optimization and grey wolf optimization algorithms","display_name":"DNN-XGBoost framework for CO2 emissions prediction based on binary whale optimization and grey wolf optimization algorithms","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140201586","doi":"https://doi.org/10.1016/j.suscom.2026.101344"},"language":"en","primary_location":{"id":"doi:10.1016/j.suscom.2026.101344","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.suscom.2026.101344","pdf_url":null,"source":{"id":"https://openalex.org/S2764953436","display_name":"Sustainable Computing Informatics and Systems","issn_l":"2210-5379","issn":["2210-5379","2210-5387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sustainable Computing: Informatics and Systems","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":null,"display_name":"Ahmed M. Elshewey","orcid":"https://orcid.org/0000-0002-3048-1920"},"institutions":[{"id":"https://openalex.org/I130009713","display_name":"Suez University","ror":"https://ror.org/00ndhrx30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130009713"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ahmed M. Elshewey","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Information, Suez University, P.O.BOX:43221, Suez, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-3048-1920","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information, Suez University, P.O.BOX:43221, Suez, Egypt","institution_ids":["https://openalex.org/I130009713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130009713"],"apc_list":{"value":2900,"currency":"USD","value_usd":2900},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64933598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"101344","last_page":"101344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.13300000131130219,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.13300000131130219,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.12439999729394913,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.08749999850988388,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5595999956130981},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5171999931335449},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.5034999847412109},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.47369998693466187},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.46549999713897705},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.38679999113082886},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.3718000054359436},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705299973487854},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5595999956130981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.519599974155426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38089999556541443},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.3718000054359436},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.3571999967098236},{"id":"https://openalex.org/C2777704720","wikidata":"https://www.wikidata.org/wiki/Q1865281","display_name":"Whale","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3393999934196472},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3280999958515167},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29120001196861267},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.suscom.2026.101344","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.suscom.2026.101344","pdf_url":null,"source":{"id":"https://openalex.org/S2764953436","display_name":"Sustainable Computing Informatics and Systems","issn_l":"2210-5379","issn":["2210-5379","2210-5387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sustainable Computing: Informatics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W1991909506","https://openalex.org/W2000183434","https://openalex.org/W2004869183","https://openalex.org/W2012379087","https://openalex.org/W2057351911","https://openalex.org/W2059896316","https://openalex.org/W2060469073","https://openalex.org/W2061438946","https://openalex.org/W2095795470","https://openalex.org/W2110940238","https://openalex.org/W2134920874","https://openalex.org/W2285944352","https://openalex.org/W2290883490","https://openalex.org/W2317582304","https://openalex.org/W2338730565","https://openalex.org/W2358325127","https://openalex.org/W2478684102","https://openalex.org/W2527965359","https://openalex.org/W2607281691","https://openalex.org/W2621075721","https://openalex.org/W2657631929","https://openalex.org/W2745573163","https://openalex.org/W2753260324","https://openalex.org/W2769736425","https://openalex.org/W2770073247","https://openalex.org/W2884035018","https://openalex.org/W2888459087","https://openalex.org/W2890886120","https://openalex.org/W2896859906","https://openalex.org/W2912501419","https://openalex.org/W2914466649","https://openalex.org/W2915130814","https://openalex.org/W2938532773","https://openalex.org/W2969862035","https://openalex.org/W3013330736","https://openalex.org/W3093463563","https://openalex.org/W3120147074","https://openalex.org/W3135090030","https://openalex.org/W3136570575","https://openalex.org/W3169921076","https://openalex.org/W3183048323","https://openalex.org/W3194924852","https://openalex.org/W3210650016","https://openalex.org/W4213434880","https://openalex.org/W4221129463","https://openalex.org/W4282016089","https://openalex.org/W4283771000","https://openalex.org/W4285092006","https://openalex.org/W4286358002","https://openalex.org/W4294959624","https://openalex.org/W4309520169","https://openalex.org/W4382315652","https://openalex.org/W4383820730","https://openalex.org/W4387410165","https://openalex.org/W4388895673","https://openalex.org/W4390114677","https://openalex.org/W4391248695","https://openalex.org/W4391979672","https://openalex.org/W4403238669","https://openalex.org/W4404721248"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-03-25T00:00:00"}