{"id":"https://openalex.org/W4412923141","doi":"https://doi.org/10.32604/cmc.2025.067129","title":"A Deep Learning-Based Cloud Groundwater Level Prediction System","display_name":"A Deep Learning-Based Cloud Groundwater Level Prediction System","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412923141","doi":"https://doi.org/10.32604/cmc.2025.067129"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.067129","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067129","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-85-1/TSP_CMC_67129/TSP_CMC_67129.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-85-1/TSP_CMC_67129/TSP_CMC_67129.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054749604","display_name":"Yu-Sheng Su","orcid":"https://orcid.org/0009-0005-3601-1208"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu-Sheng Su","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436912","display_name":"Yiwen Wang","orcid":"https://orcid.org/0000-0002-5174-2720"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi-Wen Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056637424","display_name":"Yun-Chin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun-Chin Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zheng-Yun Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng-Yun Xiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013988770","display_name":"Ting-Jou Ding","orcid":"https://orcid.org/0000-0002-3201-5026"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting-Jou Ding","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054749604"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7223,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71338319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"85","issue":"1","first_page":"1095","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.991100013256073,"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":0.991100013256073,"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":0.9298999905586243,"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/cloud-computing","display_name":"Cloud computing","score":0.689474880695343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5429785251617432},{"id":"https://openalex.org/keywords/groundwater","display_name":"Groundwater","score":0.5078216195106506},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4797474145889282},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.44144561886787415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33922091126441956},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23914021253585815},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14042198657989502},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.09222164750099182}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.689474880695343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5429785251617432},{"id":"https://openalex.org/C76177295","wikidata":"https://www.wikidata.org/wiki/Q161598","display_name":"Groundwater","level":2,"score":0.5078216195106506},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4797474145889282},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.44144561886787415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33922091126441956},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23914021253585815},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14042198657989502},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.09222164750099182}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.067129","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067129","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-85-1/TSP_CMC_67129/TSP_CMC_67129.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.067129","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067129","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-85-1/TSP_CMC_67129/TSP_CMC_67129.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4412923141.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1938057060","https://openalex.org/W1978239142","https://openalex.org/W2107878631","https://openalex.org/W2136848157","https://openalex.org/W2136922672","https://openalex.org/W2802436364","https://openalex.org/W2885195348","https://openalex.org/W2903262167","https://openalex.org/W2907847652","https://openalex.org/W2912811302","https://openalex.org/W2953521532","https://openalex.org/W2981111316","https://openalex.org/W3109689574","https://openalex.org/W3150823440","https://openalex.org/W3155567600","https://openalex.org/W3199553250","https://openalex.org/W3216843201","https://openalex.org/W3217756247","https://openalex.org/W4226360298","https://openalex.org/W4229371579","https://openalex.org/W4321457816","https://openalex.org/W4362636249","https://openalex.org/W4404328647"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"In":[0],"the":[1,40],"context":[2],"of":[3,14],"global":[4],"change,":[5],"understanding":[6],"changes":[7],"in":[8],"water":[9,20],"resources":[10],"requires":[11],"close":[12],"monitoring":[13],"groundwater":[15],"levels.":[16],"A":[17],"mismatch":[18],"between":[19],"supply":[21],"and":[22,37],"demand":[23],"could":[24],"lead":[25],"to":[26],"severe":[27],"consequences":[28],"such":[29],"as":[30],"land":[31],"subsidence.":[32],"...":[33],"|":[34],"Find,":[35],"read":[36],"cite":[38],"all":[39],"research":[41],"you":[42],"need":[43],"on":[44],"Tech":[45],"Science":[46],"Press":[47]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
