{"id":"https://openalex.org/W4404563979","doi":"https://doi.org/10.1109/uemcon62879.2024.10754764","title":"Predicting Climate Change: A Linear Regression &amp; Convex Optimization Approach","display_name":"Predicting Climate Change: A Linear Regression &amp; Convex Optimization Approach","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4404563979","doi":"https://doi.org/10.1109/uemcon62879.2024.10754764"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon62879.2024.10754764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics &amp;amp; Mobile Communication Conference (UEMCON)","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/A5062694837","display_name":"Sanjiv Kapoor","orcid":"https://orcid.org/0000-0001-5637-9919"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saurabh Kapoor","raw_affiliation_strings":["Lab126 Amazon,Arlington,U.S.A,VA 22202"],"affiliations":[{"raw_affiliation_string":"Lab126 Amazon,Arlington,U.S.A,VA 22202","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062694837"],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18668659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"398","last_page":"403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.10270000249147415,"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/T10435","display_name":"Environmental Impact and Sustainability","score":0.10270000249147415,"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/T11053","display_name":"Process Optimization and Integration","score":0.05959999933838844,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/linear-regression","display_name":"Linear regression","score":0.543928325176239},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49331751465797424},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.4787244498729706},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4739777445793152},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4463721513748169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4360637962818146},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42284369468688965},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3770168423652649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3589143753051758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2885064482688904},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18132126331329346},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.07281222939491272}],"concepts":[{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.543928325176239},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49331751465797424},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.4787244498729706},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4739777445793152},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4463721513748169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4360637962818146},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42284369468688965},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3770168423652649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3589143753051758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2885064482688904},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18132126331329346},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.07281222939491272},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon62879.2024.10754764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics &amp;amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1968178762","https://openalex.org/W2130544854","https://openalex.org/W2889852608","https://openalex.org/W3025949386","https://openalex.org/W3200921446","https://openalex.org/W3211981054","https://openalex.org/W4250589301","https://openalex.org/W4317243016","https://openalex.org/W4391259628","https://openalex.org/W4400724572","https://openalex.org/W4402543578","https://openalex.org/W6944149070"],"related_works":["https://openalex.org/W3096121261","https://openalex.org/W3190643595","https://openalex.org/W4225788860","https://openalex.org/W4376872516","https://openalex.org/W31220157","https://openalex.org/W3153752017","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902","https://openalex.org/W3174613421"],"abstract_inverted_index":{"Climate":[0],"prediction":[1,81,91],"is":[2],"a":[3,19,77],"complex":[4],"and":[5,30,51,65,70,93],"challenging":[6],"task.":[7],"Machine":[8],"learning":[9],"techniques,":[10],"particularly":[11],"Linear":[12],"Regression":[13],"combined":[14],"with":[15],"Convex":[16,87],"Optimization,":[17],"provide":[18],"promising":[20],"alternative":[21],"to":[22,41,97],"traditional":[23],"statistical":[24],"models":[25],"by":[26],"improving":[27,90],"predictive":[28],"accuracy":[29,92],"reducing":[31],"error.":[32],"This":[33],"research":[34],"explores":[35],"the":[36,43,54,84,94],"application":[37],"of":[38,45,86],"these":[39],"techniques":[40],"enhance":[42],"reliability":[44],"climate":[46,72,101],"predictions.":[47],"To":[48],"ensure":[49],"robustness":[50],"improve":[52],"generalizability,":[53],"model":[55],"was":[56],"tested":[57],"across":[58,99],"multiple":[59],"datasets,":[60],"including":[61],"Vostok":[62],"Ice":[63],"Core":[64],"ERA5,":[66],"which":[67],"capture":[68],"historical":[69],"modern":[71],"data.":[73],"The":[74],"results":[75],"demonstrate":[76],"significant":[78],"reduction":[79],"in":[80,89],"error,":[82],"highlighting":[83],"effectiveness":[85],"Optimization":[88],"model\u2019s":[95],"capacity":[96],"generalize":[98],"different":[100],"datasets.":[102]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
