{"id":"https://openalex.org/W2772747998","doi":"https://doi.org/10.1109/icsipa.2017.8120670","title":"Predicting dengue cases by aggregation of climate variable using manifold learning","display_name":"Predicting dengue cases by aggregation of climate variable using manifold learning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2772747998","doi":"https://doi.org/10.1109/icsipa.2017.8120670","mag":"2772747998"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2017.8120670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2017.8120670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5032280782","display_name":"Shermon S. Mathulamuthu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shermon S. Mathulamuthu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057593896","display_name":"Vijanth Sagayan Asirvadam","orcid":"https://orcid.org/0000-0002-7912-414X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vijanth S. Asirvadam","raw_affiliation_strings":["Department of Electrical and Electronic Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070853135","display_name":"Sarat C. Dass","orcid":"https://orcid.org/0000-0002-7376-0436"},"institutions":[{"id":"https://openalex.org/I4210161331","display_name":"Applied Sciences (United States)","ror":"https://ror.org/04zd6dy90","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarat C. Dass","raw_affiliation_strings":["Fundamental and Applied Sciences Department"],"affiliations":[{"raw_affiliation_string":"Fundamental and Applied Sciences Department","institution_ids":["https://openalex.org/I4210161331"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082467169","display_name":"Balvinder Singh Gill","orcid":"https://orcid.org/0000-0002-0738-2991"},"institutions":[{"id":"https://openalex.org/I105292261","display_name":"Ministry of Health","ror":"https://ror.org/05ddxe180","country_code":"MY","type":"government","lineage":["https://openalex.org/I105292261"]},{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Balvinder S. Gill","raw_affiliation_strings":["Disease Control Division, Ministry of Health Malaysia (MoH) Universiti Teknologi PETRONAS, Malaysia"],"affiliations":[{"raw_affiliation_string":"Disease Control Division, Ministry of Health Malaysia (MoH) Universiti Teknologi PETRONAS, Malaysia","institution_ids":["https://openalex.org/I203899302","https://openalex.org/I105292261"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032280782"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.154,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4924819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"535","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10166","display_name":"Mosquito-borne diseases and control","score":0.9376000165939331,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dengue-fever","display_name":"Dengue fever","score":0.7636232376098633},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6540501713752747},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5348751544952393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48657476902008057},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47915810346603394},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4713444411754608},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.47090959548950195},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.44682610034942627},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.44473785161972046},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.43158745765686035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3970709443092346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.366131067276001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3510472774505615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33716392517089844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1430836021900177},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08654829859733582},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08305293321609497}],"concepts":[{"id":"https://openalex.org/C533803919","wikidata":"https://www.wikidata.org/wiki/Q30953","display_name":"Dengue fever","level":2,"score":0.7636232376098633},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6540501713752747},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5348751544952393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48657476902008057},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47915810346603394},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4713444411754608},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.47090959548950195},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44682610034942627},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.44473785161972046},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.43158745765686035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3970709443092346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.366131067276001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3510472774505615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33716392517089844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1430836021900177},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08654829859733582},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08305293321609497},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2017.8120670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2017.8120670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W88198974","https://openalex.org/W1987971958","https://openalex.org/W2031462067","https://openalex.org/W2046313806","https://openalex.org/W2047191928","https://openalex.org/W2116931174","https://openalex.org/W2119001766","https://openalex.org/W2156576125","https://openalex.org/W2533766720","https://openalex.org/W2543781397","https://openalex.org/W2551063678","https://openalex.org/W3194394248","https://openalex.org/W6603574814","https://openalex.org/W6677188175","https://openalex.org/W6728979487","https://openalex.org/W6799980232"],"related_works":["https://openalex.org/W4381663654","https://openalex.org/W2573981081","https://openalex.org/W2383239174","https://openalex.org/W117517268","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W2217724233","https://openalex.org/W4233024177","https://openalex.org/W2101914902","https://openalex.org/W3174613421"],"abstract_inverted_index":{"Recently,":[0],"Malaysia":[1],"has":[2,33,73,102],"been":[3,74,103],"reported":[4],"with":[5],"dengue":[6,29,51,59,67],"epidemic,":[7],"that":[8,140],"could":[9,64],"rise":[10],"up":[11],"to":[12,26,37,43,48,76,105,115],"120,":[13],"000":[14],"cases":[15],"recorded":[16],"per":[17],"year.":[18],"This":[19,53],"serious":[20],"issue":[21],"needs":[22],"a":[23,56],"vital":[24],"look":[25],"prevent":[27,49],"the":[28,50,66,78,84,107,117,126],"occurrences":[30,60,68],"as":[31,95],"it":[32],"no":[34],"medicine":[35],"yet":[36],"be":[38,44],"found.":[39],"Therefore,":[40],"studies":[41],"need":[42],"done":[45,104],"in":[46,135],"order":[47],"occurrences.":[52],"paper":[54],"presents":[55],"high":[57],"accuracy":[58],"prediction":[61],"model":[62,106,128],"which":[63],"forecast":[65],"accurately.":[69],"Manifold":[70],"learning":[71,92],"theorem":[72,93],"performed":[75],"reduce":[77],"dimension":[79,148],"into":[80],"one":[81],"by":[82],"maintaining":[83],"geodesic":[85],"distances":[86],"between":[87],"all":[88],"points.":[89],"Next":[90],"machine":[91],"such":[94],"clustering":[96],"(K-means":[97],"technique)":[98],"and":[99,131,150,159],"linear":[100],"regression":[101,127,155],"data.":[108],"Averaged":[109],"silhouette":[110],"width":[111],"method":[112],"was":[113,133],"used":[114],"determine":[116],"number":[118],"of":[119],"K":[120],"for":[121],"K-means":[122],"technique.":[123],"Each":[124],"cluster":[125,151],"is":[129,142,157],"built":[130],"SSE":[132,144],"shown":[134,139],"table.":[136],"Overall,":[137],"it's":[138],"there":[141],"low":[143],"achieved":[145],"after":[146],"applying":[147],"reduction":[149],"based":[152],"regression.":[153],"The":[154],"fit":[156],"improved":[158],"bring":[160],"out":[161],"better":[162],"fit.":[163]},"counts_by_year":[{"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"}
