{"id":"https://openalex.org/W4408932359","doi":"https://doi.org/10.3390/bdcc9040079","title":"Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction","display_name":"Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408932359","doi":"https://doi.org/10.3390/bdcc9040079"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9040079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9040079","pdf_url":"https://www.mdpi.com/2504-2289/9/4/79/pdf?version=1743166157","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/4/79/pdf?version=1743166157","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019480473","display_name":"Chaofan Ling","orcid":"https://orcid.org/0000-0003-2675-0005"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Ling","raw_affiliation_strings":["School of Shien-ming Wu Intelligent Engineering, South China University of Technology, Guangzhou 510641, China"],"affiliations":[{"raw_affiliation_string":"School of Shien-ming Wu Intelligent Engineering, South China University of Technology, Guangzhou 510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030956545","display_name":"Junpei Zhong","orcid":"https://orcid.org/0000-0001-7642-2961"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junpei Zhong","raw_affiliation_strings":["Faculty of Science and Technology, University of Wollongong (College Hong Kong), Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Wollongong (College Hong Kong), Hong Kong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010684849","display_name":"Weihua Li","orcid":"https://orcid.org/0000-0002-7493-1399"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Li","raw_affiliation_strings":["School of Shien-ming Wu Intelligent Engineering, South China University of Technology, Guangzhou 510641, China"],"affiliations":[{"raw_affiliation_string":"School of Shien-ming Wu Intelligent Engineering, South China University of Technology, Guangzhou 510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073646713","display_name":"Ran Dong","orcid":"https://orcid.org/0000-0001-6764-4861"},"institutions":[{"id":"https://openalex.org/I98940699","display_name":"Chukyo University","ror":"https://ror.org/04ajrmg05","country_code":"JP","type":"education","lineage":["https://openalex.org/I98940699"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ran Dong","raw_affiliation_strings":["School of Engineering, Chukyo University, Nagoya 466-0825, Japan"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Chukyo University, Nagoya 466-0825, Japan","institution_ids":["https://openalex.org/I98940699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090488052","display_name":"Mingjun Dai","orcid":"https://orcid.org/0000-0003-2602-1937"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjun Dai","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030956545"],"corresponding_institution_ids":[],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02880458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"79","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9315999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.568547248840332},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.49236834049224854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4737218916416168},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4683603048324585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4478260278701782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42043158411979675},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31754758954048157},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13179028034210205},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08291506767272949}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.568547248840332},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.49236834049224854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4737218916416168},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4683603048324585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4478260278701782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42043158411979675},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31754758954048157},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13179028034210205},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08291506767272949},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9040079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9040079","pdf_url":"https://www.mdpi.com/2504-2289/9/4/79/pdf?version=1743166157","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3bd0188351ab48eb93e9d17cc4f84562","is_oa":true,"landing_page_url":"https://doaj.org/article/3bd0188351ab48eb93e9d17cc4f84562","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 4, p 79 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9040079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9040079","pdf_url":"https://www.mdpi.com/2504-2289/9/4/79/pdf?version=1743166157","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408932359.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1685213530","https://openalex.org/W1849277567","https://openalex.org/W1977628053","https://openalex.org/W2054469884","https://openalex.org/W2098580305","https://openalex.org/W2101918102","https://openalex.org/W2103104224","https://openalex.org/W2116435618","https://openalex.org/W2119885245","https://openalex.org/W2126641731","https://openalex.org/W2127958135","https://openalex.org/W2131087111","https://openalex.org/W2131352719","https://openalex.org/W2131708731","https://openalex.org/W2146656425","https://openalex.org/W2148764920","https://openalex.org/W2153791616","https://openalex.org/W2157754891","https://openalex.org/W2162950292","https://openalex.org/W2400532028","https://openalex.org/W2401640538","https://openalex.org/W2424778531","https://openalex.org/W2528489519","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2586480386","https://openalex.org/W2615413256","https://openalex.org/W2616324011","https://openalex.org/W2620052971","https://openalex.org/W2625614184","https://openalex.org/W2756497902","https://openalex.org/W2768975186","https://openalex.org/W2796873224","https://openalex.org/W2909665111","https://openalex.org/W2962785568","https://openalex.org/W2962839378","https://openalex.org/W2962858109","https://openalex.org/W2963001155","https://openalex.org/W2966900272","https://openalex.org/W2994720379","https://openalex.org/W2997571320","https://openalex.org/W3010874390","https://openalex.org/W3015879326","https://openalex.org/W3016155278","https://openalex.org/W3035265644","https://openalex.org/W3035540643","https://openalex.org/W3037883368","https://openalex.org/W3110190397","https://openalex.org/W3126857817","https://openalex.org/W3167995751","https://openalex.org/W3174902251","https://openalex.org/W3181942264","https://openalex.org/W3184447318","https://openalex.org/W3204419235","https://openalex.org/W3204615985","https://openalex.org/W4211009390","https://openalex.org/W4231697575","https://openalex.org/W4249279051","https://openalex.org/W4252713891","https://openalex.org/W4296526108","https://openalex.org/W4312794305","https://openalex.org/W4390187922","https://openalex.org/W4399387213","https://openalex.org/W6681585217","https://openalex.org/W6726983635","https://openalex.org/W6753914649","https://openalex.org/W6757613341","https://openalex.org/W6774413459","https://openalex.org/W6797179183"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,130],"propose":[4],"an":[5],"improved":[6,85,154],"version":[7],"of":[8,25,32,71,122,156,175],"the":[9,23,30,55,65,100,107,119,126,132,173],"Pyramidal":[10],"Predictive":[11],"Network":[12],"(PPNV2),":[13],"a":[14,39,162],"theoretical":[15],"framework":[16],"inspired":[17],"by":[18],"predictive":[19],"coding,":[20],"which":[21],"addresses":[22],"limitations":[24,174],"its":[26,47,58,176,180],"predecessor":[27,177],"(PPNV1)":[28],"in":[29,54,60,95,125,183],"task":[31],"future":[33,169],"perception":[34],"prediction.":[35],"While":[36],"PPNV1":[37,72],"employed":[38],"temporal":[40],"pyramid":[41],"architecture":[42,86],"and":[43,68,73,77,92,102,141,153,165,178,192],"demonstrated":[44],"promising":[45],"results,":[46],"innate":[48],"signal":[49,66],"processing":[50],"led":[51],"to":[52,80,105,109,135,168],"aliasing":[53,94],"prediction,":[56,171,189,191],"restricting":[57],"application":[59],"robotic":[61,185],"navigation.":[62,193],"We":[63,98],"analyze":[64],"dissemination":[67,91],"characteristic":[69],"artifacts":[70],"introduce":[74],"architectural":[75],"enhancements":[76],"training":[78,133,140],"strategies":[79,134],"mitigate":[81],"these":[82],"issues.":[83],"The":[84,144,158],"focuses":[87],"on":[88],"optimizing":[89],"information":[90],"reducing":[93],"neural":[96],"networks.":[97],"redesign":[99],"downsampling":[101],"upsampling":[103],"components":[104],"enable":[106],"network":[108],"construct":[110],"images":[111],"more":[112,163],"effectively":[113],"from":[114],"low-frequency-input":[115],"Fourier":[116],"features,":[117],"replacing":[118],"simple":[120],"concatenation":[121],"different":[123],"inputs":[124],"previous":[127],"version.":[128],"Furthermore,":[129],"refine":[131],"alleviate":[136],"input":[137],"inconsistency":[138],"during":[139],"testing":[142],"phases.":[143],"enhanced":[145],"model":[146],"exhibits":[147],"increased":[148],"interpretability,":[149],"stronger":[150],"prediction":[151],"accuracy,":[152],"quality":[155],"predictions.":[157],"proposed":[159],"PPNV2":[160],"offers":[161],"robust":[164],"efficient":[166],"approach":[167],"video-frame":[170],"overcoming":[172],"expanding":[179],"potential":[181],"applications":[182],"various":[184],"domains,":[186],"including":[187],"pedestrian":[188],"vehicle":[190]},"counts_by_year":[],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}