{"id":"https://openalex.org/W4416251762","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227654","title":"SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling","display_name":"SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251762","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227654"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5120354539","display_name":"Marco Turzi","orcid":null},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Marco Turzi","raw_affiliation_strings":["Utrecht University,Department of Information and Computing Sciences,Utrecht,Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University,Department of Information and Computing Sciences,Utrecht,Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076867569","display_name":"Siamak Mehrkanoon","orcid":"https://orcid.org/0000-0002-0516-0391"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Siamak Mehrkanoon","raw_affiliation_strings":["Utrecht University,Department of Information and Computing Sciences,Utrecht,Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University,Department of Information and Computing Sciences,Utrecht,Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5120354539"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":null,"apc_paid":null,"fwci":1.242,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83147231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.5587000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.5587000250816345,"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":0.4004000127315521,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.01269999984651804,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nowcasting","display_name":"Nowcasting","score":0.8616999983787537},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6693000197410583},{"id":"https://openalex.org/keywords/shuffling","display_name":"Shuffling","score":0.6559000015258789},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5691999793052673},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5062999725341797},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4652999937534332},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4609000086784363},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4323999881744385}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.8616999983787537},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6693000197410583},{"id":"https://openalex.org/C167927819","wikidata":"https://www.wikidata.org/wiki/Q1930567","display_name":"Shuffling","level":2,"score":0.6559000015258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391000151634216},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5691999793052673},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5062999725341797},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4652999937534332},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41830000281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41760000586509705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36390000581741333},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3481000065803528},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C206887242","wikidata":"https://www.wikidata.org/wiki/Q830457","display_name":"Cloud cover","level":3,"score":0.3416999876499176},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2036785686","https://openalex.org/W2057440314","https://openalex.org/W2060606400","https://openalex.org/W2064675550","https://openalex.org/W2128004202","https://openalex.org/W2194775991","https://openalex.org/W2516809705","https://openalex.org/W2530443992","https://openalex.org/W2531409750","https://openalex.org/W2600292797","https://openalex.org/W2790979755","https://openalex.org/W2943852858","https://openalex.org/W2958098628","https://openalex.org/W2962858109","https://openalex.org/W2981731882","https://openalex.org/W2998567488","https://openalex.org/W3003240728","https://openalex.org/W3120923893","https://openalex.org/W3126335003","https://openalex.org/W3126640999","https://openalex.org/W3162418282","https://openalex.org/W3193123863","https://openalex.org/W3200052951","https://openalex.org/W4289752563","https://openalex.org/W4312851276","https://openalex.org/W4385482745","https://openalex.org/W4386336931","https://openalex.org/W4403320343","https://openalex.org/W4405265820"],"related_works":[],"abstract_inverted_index":{"Weather":[0,25],"forecasting":[1],"is":[2,142],"essential":[3],"for":[4,171],"facilitating":[5],"diverse":[6],"socio-economic":[7],"activity":[8],"and":[9,36,66,75,81,94,121,133],"environmental":[10],"conservation":[11],"initiatives.":[12],"Deep":[13],"learning":[14],"techniques":[15],"are":[16,79,114],"increasingly":[17],"being":[18],"explored":[19],"as":[20,33],"complementary":[21],"approaches":[22],"to":[23,63,92,105,144],"Numerical":[24],"Prediction":[26],"(NWP)":[27],"models,":[28],"offering":[29],"potential":[30],"benefits":[31],"such":[32],"reduced":[34,77],"complexity":[35],"enhanced":[37],"adaptability":[38],"in":[39],"specific":[40],"applications.":[41],"This":[42],"work":[43],"presents":[44],"a":[45,59,86,95,137],"novel":[46],"design,":[47],"Small":[48],"Shuffled":[49],"Attention":[50],"UNet":[51],"(SSA-UNet),":[52],"which":[53],"enhances":[54],"SmaAt-UNet\u2019s":[55],"architecture":[56,74,113],"by":[57,154],"including":[58],"shuffle":[60],"channeling":[61],"mechanism":[62],"optimize":[64],"performance":[65],"diminish":[67],"complexity.":[68],"To":[69,126],"assess":[70],"its":[71,76,135,173],"efficacy,":[72],"this":[73,130],"variant":[78],"examined":[80],"trained":[82],"on":[83,182],"two":[84],"datasets:":[85],"Dutch":[87],"precipitation":[88,123],"dataset":[89,99],"from":[90,103],"2016":[91],"2019,":[93],"French":[96],"cloud":[97],"cover":[98],"containing":[100],"radar":[101],"images":[102],"2017":[104],"2018.":[106],"Three":[107],"output":[108],"configurations":[109],"of":[110,118,151,159,177],"the":[111,146,157,162,166],"proposed":[112],"evaluated,":[115],"yielding":[116],"outputs":[117,147],"1,":[119],"6,":[120],"12":[122],"maps,":[124],"respectively.":[125],"better":[127],"understand":[128],"how":[129],"model":[131,167],"operates":[132],"produces":[134],"predictions,":[136],"gradient-based":[138],"approach":[139],"called":[140],"Grad-CAM":[141,155],"used":[143],"analyze":[145],"generated.":[148],"The":[149,175],"analysis":[150],"heatmaps":[152],"generated":[153],"facilitated":[156],"identification":[158],"regions":[160],"within":[161],"input":[163],"maps":[164],"that":[165],"considers":[168],"most":[169],"informative":[170],"generating":[172],"predictions.":[174],"implementation":[176],"SSA-UNet":[178],"can":[179],"be":[180],"found":[181],"our":[183],"Github":[184],"<sup":[185],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[186],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}