{"id":"https://openalex.org/W4401732731","doi":"https://doi.org/10.1145/3670085.3670103","title":"A Hybrid LSTM and Rule-Based Algorithm for Real-Time Prediction of River Water Level and Flood Risk Status: Case study of Tempasuk River, Sabah, Malaysia with real-time monitoring by S.A.I.F.O.N@Belud","display_name":"A Hybrid LSTM and Rule-Based Algorithm for Real-Time Prediction of River Water Level and Flood Risk Status: Case study of Tempasuk River, Sabah, Malaysia with real-time monitoring by S.A.I.F.O.N@Belud","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4401732731","doi":"https://doi.org/10.1145/3670085.3670103"},"language":"en","primary_location":{"id":"doi:10.1145/3670085.3670103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670085.3670103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114211331","display_name":"Muhammad Amir Asyraf Fazli","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Muhammad Amir Asyraf Fazli","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0009-0008-8231-077X","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103001940","display_name":"Wooi-Nee Tan","orcid":"https://orcid.org/0000-0002-4930-0798"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wooi-Nee Tan","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-4930-0798","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029358513","display_name":"Yi-Fei Tan","orcid":"https://orcid.org/0000-0002-9030-1434"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yi-Fei Tan","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-9030-1434","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009229033","display_name":"Ming-Tao Gan","orcid":"https://orcid.org/0000-0003-4665-3667"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ming-Tao Gan","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-4665-3667","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106661674","display_name":"Asrul Norul Bashah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asrul Norul Bashah","raw_affiliation_strings":["MSD Innovation Sdn. Bhd., Malaysia"],"raw_orcid":"https://orcid.org/0009-0002-7592-3283","affiliations":[{"raw_affiliation_string":"MSD Innovation Sdn. Bhd., Malaysia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106661675","display_name":"Shamsul Ariffin Suraji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shamsul Ariffin Suraji","raw_affiliation_strings":["MSD Innovation Sdn. Bhd., Malaysia"],"raw_orcid":"https://orcid.org/0009-0007-6207-0492","affiliations":[{"raw_affiliation_string":"MSD Innovation Sdn. Bhd., Malaysia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108972175","display_name":"Mohd Tawfik Abdul Rahman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohd Tawfik Abdul Rahman","raw_affiliation_strings":["MSD Innovation Sdn. Bhd., Malaysia"],"raw_orcid":"https://orcid.org/0009-0000-7685-2398","affiliations":[{"raw_affiliation_string":"MSD Innovation Sdn. Bhd., Malaysia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19496772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9986000061035156,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9986000061035156,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9894000291824341,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/flood-myth","display_name":"Flood myth","score":0.6425809860229492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5567305088043213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5238369107246399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5170236825942993},{"id":"https://openalex.org/keywords/river-flood","display_name":"River flood","score":0.43174561858177185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33371907472610474},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33278775215148926},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.167904794216156},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.07650259137153625}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6425809860229492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5567305088043213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5238369107246399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5170236825942993},{"id":"https://openalex.org/C2992660569","wikidata":"https://www.wikidata.org/wiki/Q8068","display_name":"River flood","level":3,"score":0.43174561858177185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33371907472610474},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33278775215148926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.167904794216156},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.07650259137153625}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3670085.3670103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670085.3670103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:shdl.mmu.edu.my:13015","is_oa":false,"landing_page_url":"https://shdl.mmu.edu.my/13015/1/2.pdf","pdf_url":"https://shdl.mmu.edu.my/13015/1/2.pdf","source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W142851358","https://openalex.org/W1985817801","https://openalex.org/W2005161317","https://openalex.org/W2082945227","https://openalex.org/W2100085182","https://openalex.org/W2101044141","https://openalex.org/W2132995696","https://openalex.org/W2724686580","https://openalex.org/W2793467602","https://openalex.org/W2986218094","https://openalex.org/W2998444084","https://openalex.org/W3010829258","https://openalex.org/W3024360037","https://openalex.org/W3198139119","https://openalex.org/W3215064512","https://openalex.org/W4388694529","https://openalex.org/W4390498151"],"related_works":["https://openalex.org/W2367206630","https://openalex.org/W2279688248","https://openalex.org/W2061248801","https://openalex.org/W4394645100","https://openalex.org/W2352096750","https://openalex.org/W3160048525","https://openalex.org/W2157188443","https://openalex.org/W2384621806","https://openalex.org/W2374579940","https://openalex.org/W1967479961"],"abstract_inverted_index":{"This":[0],"project":[1],"proposes":[2],"an":[3,160,184],"operational":[4],"predictive":[5],"solution":[6,56,73],"that":[7,81,109],"assists":[8],"in":[9,17,20,76,89,119,144,195],"predicting":[10,23],"the":[11,24,34,37,50,66,83,93,112,116,122,140,145,168,178,193,197,203],"flood":[12,95,135,141,180],"occurrence":[13],"at":[14,44],"Kota":[15,45],"Belud":[16,46],"Sabah,":[18],"particularly":[19],"estimating":[21],"and":[22,27,167,174],"water":[25,113],"level,":[26],"affected":[28],"area.":[29],"It":[30],"is":[31,129],"motivated":[32],"by":[33],"work":[35],"under":[36],"Security":[38],"And":[39],"Integrated":[40],"Flood":[41],"Operation":[42],"Network":[43],"(S.A.I.F.O.N@Belud).":[47],"To":[48],"anticipate":[49],"likelihood":[51],"of":[52,100,115,162,172,187],"a":[53,101,133],"flood,":[54],"this":[55],"uses":[57],"machine":[58],"learning.":[59],"The":[60,71,97,126,149,189],"suggested":[61],"method":[62],"needs":[63],"input":[64],"from":[65,156],"S.A.I.F.O.N@Belud":[67,157,198],"system's":[68],"current":[69],"sensors.":[70],"created":[72],"can":[74,110],"assist":[75],"determining":[77],"forecast":[78],"lead":[79],"times":[80],"enable":[82],"authorities":[84],"to":[85,91,138,199],"issue":[86],"prior":[87],"notice":[88],"order":[90],"tackle":[92],"impending":[94],"catastrophe.":[96],"algorithm":[98],"consists":[99],"Long":[102],"Short-Term":[103],"Memory":[104],"(LSTM)":[105],"neural":[106],"network":[107],"model":[108,137,152,182,191],"predict":[111,139],"level":[114],"Tempasuk":[117],"River":[118],"Sabah":[120],"for":[121],"next":[123,146],"30":[124,147],"minutes.":[125,148],"predicted":[127],"value":[128],"then":[130],"fed":[131],"into":[132],"rule-based":[134,179],"risk":[136,142,181],"status":[143],"LSTM":[150],"prediction":[151,200],"developed":[153],"using":[154],"data":[155],"dataset":[158],"yields":[159],"average":[161],"root":[163],"mean":[164,169],"squared":[165],"error":[166,171],"absolute":[170],"0.08":[173],"0.03":[175],"respectively.":[176],"Whereas,":[177],"achieves":[183],"overall":[185],"accuracy":[186],"98.18%.":[188],"proposed":[190],"lays":[192],"foundation":[194],"expanding":[196],"phase":[201],"beyond":[202],"real":[204],"time":[205],"monitoring.":[206]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}