{"id":"https://openalex.org/W2907665648","doi":"https://doi.org/10.1109/icapr.2017.8593209","title":"Prediction of Active and Break Spells of Indian Summer Monsoon Using Linear Discriminant Analysis","display_name":"Prediction of Active and Break Spells of Indian Summer Monsoon Using Linear Discriminant Analysis","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2907665648","doi":"https://doi.org/10.1109/icapr.2017.8593209","mag":"2907665648"},"language":"en","primary_location":{"id":"doi:10.1109/icapr.2017.8593209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8593209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","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/A5101929068","display_name":"Moumita Saha","orcid":"https://orcid.org/0000-0001-7396-8600"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Moumita Saha","raw_affiliation_strings":["Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032809289","display_name":"Pabitra Mitra","orcid":"https://orcid.org/0000-0002-1908-9813"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pabitra Mitra","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006482254","display_name":"Ravi S. Nanjundiah","orcid":"https://orcid.org/0000-0002-3559-2654"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]},{"id":"https://openalex.org/I1333651918","display_name":"Indian Institute of Tropical Meteorology","ror":"https://ror.org/03jf2m686","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1333651918","https://openalex.org/I4210100914"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi S. Nanjundiah","raw_affiliation_strings":["Indian Institute of Tropical Meteorology pune, Divecha Centre for Climate Change Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Tropical Meteorology pune, Divecha Centre for Climate Change Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I1333651918","https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101929068"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.3319,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63738339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"77","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10029","display_name":"Climate variability and models","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9934999942779541,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monsoon","display_name":"Monsoon","score":0.8474047183990479},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6644801497459412},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.6408964395523071},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4962847828865051},{"id":"https://openalex.org/keywords/monsoon-of-south-asia","display_name":"Monsoon of South Asia","score":0.46614494919776917},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4212774634361267},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40459543466567993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3662987947463989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.358764111995697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2746761441230774},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16793984174728394}],"concepts":[{"id":"https://openalex.org/C136996986","wikidata":"https://www.wikidata.org/wiki/Q42967","display_name":"Monsoon","level":2,"score":0.8474047183990479},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6644801497459412},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.6408964395523071},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4962847828865051},{"id":"https://openalex.org/C146213904","wikidata":"https://www.wikidata.org/wiki/Q2737100","display_name":"Monsoon of South Asia","level":3,"score":0.46614494919776917},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4212774634361267},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40459543466567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3662987947463989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.358764111995697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2746761441230774},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16793984174728394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icapr.2017.8593209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8593209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1485748414","https://openalex.org/W1495582736","https://openalex.org/W1559529679","https://openalex.org/W1619226191","https://openalex.org/W2001619934","https://openalex.org/W2031918807","https://openalex.org/W2081993980","https://openalex.org/W2101140431","https://openalex.org/W2129990438","https://openalex.org/W2131070146","https://openalex.org/W2133990480","https://openalex.org/W2173251738","https://openalex.org/W2284492643","https://openalex.org/W2625307850","https://openalex.org/W3103913776","https://openalex.org/W6628946799","https://openalex.org/W6629621278","https://openalex.org/W6633397620","https://openalex.org/W6670905742"],"related_works":["https://openalex.org/W4288315282","https://openalex.org/W2951122819","https://openalex.org/W2498400879","https://openalex.org/W2107473870","https://openalex.org/W2325884386","https://openalex.org/W2005274681","https://openalex.org/W2759520351","https://openalex.org/W2104051977","https://openalex.org/W2737344297","https://openalex.org/W113829218"],"abstract_inverted_index":{"India":[0],"being":[1],"an":[2,201],"agricultural":[3],"land,":[4],"the":[5,8,17,21,35,75,87,92,106,151,177,183,191,206,209,223,234],"monsoon":[6,32,41,52,67,107,117,138,179],"governs":[7],"pulse":[9],"of":[10,31,40,46,51,54,60,66,74,89,91,144,157,173,185,208,220,222,233],"life":[11],"for":[12,42,63,86,153],"its":[13],"mankind":[14],"along":[15],"with":[16,162,215],"flora-fauna":[18],"existing":[19],"in":[20,71],"subcontinent.":[22],"Active":[23],"and":[24,38,48,127],"break":[25,49,188,224],"spells":[26,50,90,189,212,225],"are":[27,129,142,195,213,226],"two":[28],"important":[29],"phases":[30],"which":[33,69],"determine":[34],"overall":[36],"quality":[37],"quantity":[39],"a":[43,82],"year.":[44],"Prediction":[45],"active":[47,186,235],"is":[53],"high":[55],"significance":[56],"owing":[57,204],"to":[58,104,134,150,182,197,200,205,228,231],"planning":[59],"proper":[61],"strategy":[62],"best":[64],"utilization":[65],"phases,":[68],"assists":[70],"economic":[72],"development":[73],"country.":[76],"In":[77],"this":[78],"article":[79],"we":[80],"propose":[81],"classification":[83,172],"based":[84,102,171],"scheme":[85],"prediction":[88,221],"Indian":[93],"summer":[94],"monsoon.":[95,175],"We":[96],"have":[97],"used":[98],"linear":[99,168],"discriminant":[100,169],"analysis":[101,170],"classifier":[103,152],"classify":[105],"days":[108,180],"into":[109,110],"dry,":[111],"normal,":[112],"or":[113,136,187],"wet":[114],"days.":[115],"Classifying":[116],"at":[118],"daily":[119,174],"scale":[120],"makes":[121],"it":[122],"more":[123,130],"challenging":[124],"as":[125,132,147],"uncertainty":[126],"variability":[128],"higher":[131,155],"compared":[133],"monthly":[135],"yearly":[137],"prediction.":[139],"Climatic":[140],"variables":[141],"selected":[143],"meteorology":[145],"importance":[146],"input":[148],"features":[149],"obtaining":[154],"accuracy":[156,219],"classification.":[158],"Proposed":[159],"method":[160],"initiates":[161],"greedy":[163],"feature":[164],"selection,":[165],"followed":[166],"by":[167],"Assembling":[176],"classified":[178],"lead":[181],"determination":[184],"during":[190],"period.":[192],"Classification":[193],"results":[194],"observed":[196,227],"be":[198,229],"close":[199],"acceptable":[202],"performance,":[203],"complexity":[207],"phenomenon.":[210],"The":[211,218],"predicted":[214],"comparable":[216],"accuracy.":[217],"superior":[230],"that":[232],"spells.":[236]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}