{"id":"https://openalex.org/W2999174226","doi":"https://doi.org/10.1007/978-3-030-38651-1_25","title":"Air Pollution Forecasting Using LSTM-Multivariate Regression Model","display_name":"Air Pollution Forecasting Using LSTM-Multivariate Regression Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999174226","doi":"https://doi.org/10.1007/978-3-030-38651-1_25","mag":"2999174226"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-38651-1_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-38651-1_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5074913725","display_name":"Satheesh Abimannan","orcid":null},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Satheesh Abimannan","raw_affiliation_strings":["Galgotias University, Greater Noida, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Galgotias University, Greater Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001740265","display_name":"Yue\u2010Shan Chang","orcid":"https://orcid.org/0000-0002-6565-8132"},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yue-Shan Chang","raw_affiliation_strings":["Galgotias University, Greater Noida, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Galgotias University, Greater Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000792676","display_name":"Chi-Yeh Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chi-Yeh Lin","raw_affiliation_strings":["Galgotias University, Greater Noida, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Galgotias University, Greater Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I155125381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074913725"],"corresponding_institution_ids":["https://openalex.org/I155125381"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3573,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88888889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7916811108589172},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5082101821899414},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43837636709213257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43264126777648926},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39171791076660156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3915383815765381},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3873007893562317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3458063304424286},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3234076499938965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2756909728050232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2370496392250061},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16588044166564941}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7916811108589172},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5082101821899414},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43837636709213257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43264126777648926},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39171791076660156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3915383815765381},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3873007893562317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458063304424286},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3234076499938965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2756909728050232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2370496392250061},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16588044166564941}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-38651-1_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-38651-1_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W204790286","https://openalex.org/W2466073971","https://openalex.org/W2601622003","https://openalex.org/W2616621213","https://openalex.org/W2730647012","https://openalex.org/W2792801216","https://openalex.org/W2794659547","https://openalex.org/W2800503960","https://openalex.org/W2916556708"],"related_works":["https://openalex.org/W2024770159","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
