{"id":"https://openalex.org/W4410342032","doi":"https://doi.org/10.1109/ncc63735.2025.10983005","title":"oSWNN: Optimized Small World Neural Network for Predictive Analysis","display_name":"oSWNN: Optimized Small World Neural Network for Predictive Analysis","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4410342032","doi":"https://doi.org/10.1109/ncc63735.2025.10983005"},"language":"en","primary_location":{"id":"doi:10.1109/ncc63735.2025.10983005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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/A5102862940","display_name":"Shubham Dwivedi","orcid":"https://orcid.org/0000-0001-5447-7494"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shubham Dwivedi","raw_affiliation_strings":["IIT Kanpur,Department of Electrical Engineering,Kanpur,India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur,Department of Electrical Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067182182","display_name":"Om Jee Pandey","orcid":"https://orcid.org/0000-0002-2418-7135"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Om Jee Pandey","raw_affiliation_strings":["IIT (BHU) Varanasi,Department of Electronics Engineering,Varanasi,India"],"affiliations":[{"raw_affiliation_string":"IIT (BHU) Varanasi,Department of Electronics Engineering,Varanasi,India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085503354","display_name":"Rajesh M. Hegde","orcid":"https://orcid.org/0000-0002-6142-7724"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh M Hegde","raw_affiliation_strings":["IIT Kanpur,Department of Electrical Engineering,Kanpur,India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur,Department of Electrical Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102862940"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":2.1819,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88397106,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7179999947547913,"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":0.7179999947547913,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6832168102264404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310060620307922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36809688806533813}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6832168102264404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310060620307922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36809688806533813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc63735.2025.10983005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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":25,"referenced_works":["https://openalex.org/W1584236903","https://openalex.org/W1979426401","https://openalex.org/W1983485726","https://openalex.org/W1983873206","https://openalex.org/W1988545511","https://openalex.org/W2032332507","https://openalex.org/W2041266732","https://openalex.org/W2112090702","https://openalex.org/W2170766502","https://openalex.org/W2201538399","https://openalex.org/W2334791991","https://openalex.org/W2480283529","https://openalex.org/W2587345921","https://openalex.org/W2614057673","https://openalex.org/W2771813345","https://openalex.org/W2804037537","https://openalex.org/W2979040987","https://openalex.org/W4366091323","https://openalex.org/W4366988472","https://openalex.org/W4385756475","https://openalex.org/W4386497355","https://openalex.org/W4388936832","https://openalex.org/W4392741075","https://openalex.org/W4404853334","https://openalex.org/W6888914244"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"the":[1,64,76,117,130],"domain":[2],"of":[3,69,132],"predictive":[4,60,139],"modeling,":[5],"achieving":[6],"high":[7,38],"accuracy":[8,61,125],"with":[9],"reduced":[10],"computational":[11,127],"complexity":[12,40],"is":[13],"imperative,":[14],"particularly":[15],"for":[16,137],"applications":[17],"requiring":[18],"real-time":[19],"processing":[20],"or":[21],"operating":[22],"under":[23],"stringent":[24],"resource":[25],"constraints.":[26],"Conventional":[27],"neural":[28,53,135],"networks,":[29],"despite":[30],"their":[31],"efficacy,":[32],"often":[33],"encounter":[34],"limitations":[35],"due":[36],"to":[37],"structural":[39],"and":[41,66,85,112,126],"inefficiencies":[42],"in":[43,96,123],"information":[44,92],"propagation.":[45],"This":[46],"paper":[47],"introduces":[48],"an":[49],"optimized":[50],"small":[51,77,133],"world":[52,78,134],"network":[54,136],"architecture":[55],"(oSWNN),":[56],"which":[57],"systematically":[58],"enhances":[59],"by":[62,81],"optimizing":[63],"number":[65],"strategic":[67],"placement":[68],"new":[70],"links":[71],"between":[72],"neurons.":[73],"By":[74],"incorporating":[75],"property,":[79],"characterized":[80],"short":[82],"path":[83],"lengths":[84],"efficient":[86],"connectivity,":[87],"our":[88],"model":[89],"facilitates":[90],"seamless":[91],"flow,":[93],"boosting":[94],"performance":[95],"regression":[97,102],"tasks.":[98],"Tested":[99],"on":[100],"multiple":[101],"datasets,":[103],"including":[104],"UCI":[105,109],"Compressive":[106],"Concrete":[107],"Strength,":[108],"Energy":[110],"Efficiency,":[111],"Oxford":[113],"Parkinson's":[114],"Disease":[115],"dataset,":[116],"proposed":[118],"oSWNN":[119],"demonstrates":[120],"significant":[121],"gains":[122],"both":[124],"efficiency,":[128],"underscoring":[129],"potential":[131],"robust":[138],"analysis.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}