{"id":"https://openalex.org/W2569648812","doi":"https://doi.org/10.1109/tkde.2016.2647240","title":"FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN)","display_name":"FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN)","publication_year":2017,"publication_date":"2017-01-04","ids":{"openalex":"https://openalex.org/W2569648812","doi":"https://doi.org/10.1109/tkde.2016.2647240","mag":"2569648812"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2647240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2647240","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5082372625","display_name":"Monidipa Das","orcid":"https://orcid.org/0000-0002-7615-4407"},"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":true,"raw_author_name":"Monidipa Das","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030936455","display_name":"Soumya K. Ghosh","orcid":"https://orcid.org/0000-0001-8359-581X"},"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":"Soumya K. Ghosh","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082785235","display_name":"Pramesh Gupta","orcid":null},"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":"Pramesh Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005353718","display_name":"V. M. Chowdary","orcid":"https://orcid.org/0000-0002-7437-8001"},"institutions":[{"id":"https://openalex.org/I1311524620","display_name":"National Remote Sensing Centre","ror":"https://ror.org/0491y3t26","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I1311524620","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. M. Chowdary","raw_affiliation_strings":["National Remote Sensing Centre, Indian Space Research Organization, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"National Remote Sensing Centre, Indian Space Research Organization, Kolkata, India","institution_ids":["https://openalex.org/I1311524620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038001339","display_name":"R. Nagaraja","orcid":null},"institutions":[{"id":"https://openalex.org/I1311524620","display_name":"National Remote Sensing Centre","ror":"https://ror.org/0491y3t26","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I1311524620","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravoori Nagaraja","raw_affiliation_strings":["National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India","institution_ids":["https://openalex.org/I1311524620"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005797579","display_name":"V. K. Dadhwal","orcid":"https://orcid.org/0000-0001-5084-1367"},"institutions":[{"id":"https://openalex.org/I1311524620","display_name":"National Remote Sensing Centre","ror":"https://ror.org/0491y3t26","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I1311524620","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. K. Dadhwal","raw_affiliation_strings":["National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India","institution_ids":["https://openalex.org/I1311524620"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082372625"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":3.1411,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90856929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"4","first_page":"842","last_page":"855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9995999932289124,"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":0.9995999932289124,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7574323415756226},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.49190354347229004},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4550836682319641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2174374759197235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21236184239387512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574323415756226},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.49190354347229004},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4550836682319641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2174374759197235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21236184239387512}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2016.2647240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2647240","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1829081441","https://openalex.org/W1965024878","https://openalex.org/W1969817738","https://openalex.org/W1971665758","https://openalex.org/W1982191827","https://openalex.org/W1982201779","https://openalex.org/W1985164990","https://openalex.org/W1990881381","https://openalex.org/W2009636568","https://openalex.org/W2018485836","https://openalex.org/W2033904036","https://openalex.org/W2034171505","https://openalex.org/W2041534329","https://openalex.org/W2051265785","https://openalex.org/W2065105535","https://openalex.org/W2072697915","https://openalex.org/W2084170744","https://openalex.org/W2085866051","https://openalex.org/W2090635835","https://openalex.org/W2091329277","https://openalex.org/W2092670048","https://openalex.org/W2095239580","https://openalex.org/W2101649195","https://openalex.org/W2117618130","https://openalex.org/W2118680859","https://openalex.org/W2122410182","https://openalex.org/W2126709108","https://openalex.org/W2158535548","https://openalex.org/W2164518150","https://openalex.org/W2172147742","https://openalex.org/W2172238468","https://openalex.org/W2256265113","https://openalex.org/W2290501245","https://openalex.org/W2384417508","https://openalex.org/W2477041072","https://openalex.org/W2550604547","https://openalex.org/W6692246841"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Natural":[0],"systems,":[1],"like":[2],"the":[3,57,120,149,154,173],"hydrological,":[4],"climatological,":[5],"atmospheric,":[6],"or":[7],"any":[8],"other":[9,133,155,185],"environmental":[10],"processes,":[11],"are":[12,44],"extremely":[13],"complex":[14,93],"as":[15,17,50],"well":[16],"dynamic":[18],"in":[19,47,92,184],"nature.":[20],"It":[21],"is":[22,78,97],"therefore":[23],"difficult":[24],"to":[25,56,79,164],"forecast,":[26],"analyze,":[27],"and":[28,38,69,135],"quantify":[29],"these":[30,51,90],"processes":[31,63],"by":[32,187],"using":[33],"simple":[34],"empirical":[35],"equations.":[36],"Modeling":[37],"forecasting":[39,83,124,169],"of":[40,59,64,74,89,102,110,113,116,126,151],"reservoir":[41,94,170],"water":[42],"dynamics":[43],"not":[45],"exceptions":[46],"this":[48],"respect,":[49],"involve":[52],"various":[53],"challenges":[54],"due":[55],"effect":[58],"meteorological":[60,117],"factors,":[61],"natural":[62],"stream":[65],"flow,":[66],"climatic":[67],"change,":[68],"so":[70],"on.":[71],"The":[72,123,145],"intent":[73],"our":[75],"present":[76],"work":[77],"propose":[80],"a":[81,100,165,176],"novel":[82],"model,":[84],"FORWARD,":[85],"that":[86,179],"handles":[87],"some":[88],"issues":[91],"dynamics.":[95],"FORWARD":[96,127,152,158],"based":[98,138],"on":[99,139,168],"variant":[101],"spatial":[103,114],"Bayesian":[104],"network":[105],"(SpaBN),":[106],"having":[107],"inherent":[108],"capability":[109],"modeling":[111],"impact":[112],"variability":[115],"factors":[118],"over":[119,153],"river":[121],"catchment.":[122],"efficiency":[125],"has":[128,159],"been":[129,160],"compared":[130],"with":[131,162],"four":[132],"linear":[134],"non-linear":[136],"techniques":[137],"six":[140],"different":[141],"statistical":[142],"performance":[143],"measures.":[144],"experimental":[146],"results":[147],"show":[148],"superiority":[150],"techniques.":[156],"Though":[157],"demonstrated":[161],"respect":[163],"case":[166],"study":[167],"live":[171],"capacity,":[172],"model":[174],"possesses":[175],"generic":[177],"structure":[178],"can":[180],"also":[181],"be":[182],"applied":[183],"domains":[186],"introducing":[188],"minimal":[189],"augmentation.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
