{"id":"https://openalex.org/W4388937837","doi":"https://doi.org/10.1109/icccnt56998.2023.10306648","title":"Prediction of Global Sea Water Level using Linear Regression and Gradient Descent","display_name":"Prediction of Global Sea Water Level using Linear Regression and Gradient Descent","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937837","doi":"https://doi.org/10.1109/icccnt56998.2023.10306648"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10306648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-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/A5111079079","display_name":"Aditya Bhagat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aditya Bhagat","raw_affiliation_strings":["G H Raisoni College of Engineering,Data Science (Centre of Excellence),Nagpur,India"],"affiliations":[{"raw_affiliation_string":"G H Raisoni College of Engineering,Data Science (Centre of Excellence),Nagpur,India","institution_ids":["https://openalex.org/I4210146358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113855241","display_name":"S. Thakre","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samiksha Thakre","raw_affiliation_strings":["G H Raisoni College of Engineering,Data Science (Centre of Excellence),Nagpur,India"],"affiliations":[{"raw_affiliation_string":"G H Raisoni College of Engineering,Data Science (Centre of Excellence),Nagpur,India","institution_ids":["https://openalex.org/I4210146358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025010142","display_name":"Snehlata Dongre","orcid":"https://orcid.org/0000-0002-1080-2109"},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Snehlata Dongre","raw_affiliation_strings":["G H Raisoni College of Engineering,Department of Computer Science and Engineering,Nagpur,India"],"affiliations":[{"raw_affiliation_string":"G H Raisoni College of Engineering,Department of Computer Science and Engineering,Nagpur,India","institution_ids":["https://openalex.org/I4210146358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029100906","display_name":"Priya Maidamwar","orcid":"https://orcid.org/0000-0002-8711-1138"},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priya Maidamwar","raw_affiliation_strings":["G H Raisoni College of Engineering,Department of Computer Science and Engineering,Nagpur,India"],"affiliations":[{"raw_affiliation_string":"G H Raisoni College of Engineering,Department of Computer Science and Engineering,Nagpur,India","institution_ids":["https://openalex.org/I4210146358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111079079"],"corresponding_institution_ids":["https://openalex.org/I4210146358"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57869532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9527000188827515,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9527000188827515,"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"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/sea-level","display_name":"Sea level","score":0.7387688159942627},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6382752656936646},{"id":"https://openalex.org/keywords/seawater","display_name":"Seawater","score":0.5638691186904907},{"id":"https://openalex.org/keywords/global-warming","display_name":"Global warming","score":0.5244086980819702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4938734173774719},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4746302366256714},{"id":"https://openalex.org/keywords/sea-level-rise","display_name":"Sea level rise","score":0.4507302939891815},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.43816015124320984},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.42315536737442017},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.33482858538627625},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.3191852271556854},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2623720169067383},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1187802255153656}],"concepts":[{"id":"https://openalex.org/C74501621","wikidata":"https://www.wikidata.org/wiki/Q125465","display_name":"Sea level","level":2,"score":0.7387688159942627},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6382752656936646},{"id":"https://openalex.org/C197248824","wikidata":"https://www.wikidata.org/wiki/Q184395","display_name":"Seawater","level":2,"score":0.5638691186904907},{"id":"https://openalex.org/C115343472","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Global warming","level":3,"score":0.5244086980819702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4938734173774719},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4746302366256714},{"id":"https://openalex.org/C2777774347","wikidata":"https://www.wikidata.org/wiki/Q841083","display_name":"Sea level rise","level":3,"score":0.4507302939891815},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.43816015124320984},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.42315536737442017},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.33482858538627625},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.3191852271556854},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2623720169067383},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1187802255153656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10306648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2044030851","https://openalex.org/W2074501513","https://openalex.org/W2078738711","https://openalex.org/W2891410493","https://openalex.org/W3119365897","https://openalex.org/W3170255473","https://openalex.org/W3202190410","https://openalex.org/W4205174378","https://openalex.org/W4210887682","https://openalex.org/W4210916032","https://openalex.org/W4225919024","https://openalex.org/W4282968647"],"related_works":["https://openalex.org/W2750973369","https://openalex.org/W2100914798","https://openalex.org/W2107705106","https://openalex.org/W1998970043","https://openalex.org/W2086330007","https://openalex.org/W2338585387","https://openalex.org/W2902393829","https://openalex.org/W3134233614","https://openalex.org/W2376831382","https://openalex.org/W4281673735"],"abstract_inverted_index":{"A":[0],"sea":[1,41,58,96,106,148,169],"level":[2,42,59,107,144,170],"graph":[3],"was":[4],"published":[5],"online":[6],"in":[7,30,152],"April":[8],"2022.":[9],"\"Climate":[10],"Change:":[11],"Global":[12],"Sea":[13],"Level\"":[14],"seems":[15],"to":[16,27,48,64,68,74,79,88,128,155,173],"be":[17],"the":[18,94,103,109,124,138,142,146,153,164,167],"current":[19],"name":[20],"for":[21],"it.":[22],"However,":[23],"it":[24],"contains":[25],"little":[26],"no":[28],"anchoring":[29],"provable":[31],"facts.":[32],"This":[33],"paper":[34],"examines":[35],"a":[36,130],"real-world":[37],"situation.":[38],"Real":[39],"worldwide":[40],"fluctuations":[43],"range":[44],"from":[45,77],"0.0":[46],"mm/year":[47,50],"+1.0":[49],"on":[51],"an":[52],"international":[53],"scale.":[54],"The":[55,112,135,157],"average":[56],"global":[57,95,147,168],"has":[60],"increased":[61],"by":[62],"21":[63],"24":[65],"centimetres":[66],"(8":[67],"9":[69],"inches)":[70],"since":[71,108],"1880,":[72],"according":[73],"measurements":[75],"made":[76],"1880":[78],"2013.":[80],"In":[81,98],"this":[82],"study,":[83],"we":[84,100],"are":[85,114],"developing":[86],"models":[87,113],"forecast":[89],"future":[90],"seawater":[91],"levels":[92],"at":[93],"level.":[97],"addition,":[99],"can":[101],"observe":[102],"significantly":[104],"rising":[105,151],"year":[110,165],"2000.":[111],"developed":[115],"using":[116],"JupyterLab":[117],"Simulation":[118],"Software,":[119],"which":[120],"is":[121],"combined":[122],"with":[123],"Python":[125],"programming":[126],"language":[127],"produce":[129],"graphic":[131],"user":[132],"interface":[133],"(GUI).":[134],"results":[136],"of":[137,145],"simulation":[139],"show":[140],"that":[141,161],"water":[143],"will":[149,171],"keep":[150],"years":[154],"come.":[156],"study\u2019s":[158],"findings":[159],"indicate":[160],"up":[162],"until":[163],"2050,":[166],"continue":[172],"change.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}