{"id":"https://openalex.org/W4386237828","doi":"https://doi.org/10.1504/ijcat.2023.133037","title":"To predict the characteristic impedance of the microstrip transmission line using supervised machine learning regression techniques","display_name":"To predict the characteristic impedance of the microstrip transmission line using supervised machine learning regression techniques","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386237828","doi":"https://doi.org/10.1504/ijcat.2023.133037"},"language":"en","primary_location":{"id":"doi:10.1504/ijcat.2023.133037","doi":"https://doi.org/10.1504/ijcat.2023.133037","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcat.2023.133037","pdf_url":null,"source":{"id":"https://openalex.org/S4210207686","display_name":"International Journal of Computer Applications in Technology","issn_l":"0952-8091","issn":["0952-8091","1741-5047"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Applications in Technology","raw_type":"journal-article"},"volume":null,"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":null,"display_name":"Mohammad Ahmad Ansari","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohammad Ahmad Ansari","raw_affiliation_strings":["Microsystems Lab, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsystems Lab, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085040276","display_name":"Krishnan Rajkumar","orcid":"https://orcid.org/0000-0002-3903-2996","observed_orcids":["https://orcid.org/0000-0002-3903-2996"]},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishnan Rajkumar","raw_affiliation_strings":["School of Engineering, Jawaharlal Nehru University, New Delhi, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Jawaharlal Nehru University, New Delhi, Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084479485","display_name":"Poonam Agarwal","orcid":"https://orcid.org/0000-0002-2908-2535","observed_orcids":["https://orcid.org/0000-0002-2908-2535"]},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poonam Agarwal","raw_affiliation_strings":["Microsystems Lab, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsystems Lab, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I152429107"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09298738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"2","first_page":"96","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10262","display_name":"Microwave Engineering and Waveguides","score":0.7832000255584717,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10262","display_name":"Microwave Engineering and Waveguides","score":0.7832000255584717,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.05909999832510948,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.037700001150369644,"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/microstrip-line","display_name":"microstrip line","score":0.9279999732971191},{"id":"https://openalex.org/keywords/characteristic-impedance","display_name":"characteristic impedance","score":0.8100000023841858},{"id":"https://openalex.org/keywords/impedance-prediction","display_name":"impedance prediction","score":0.9789999723434448},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7910000085830688},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":1.0},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.9890000224113464},{"id":"https://openalex.org/keywords/feed-forward-backpropagation","display_name":"feedforward backpropagation","score":0.8090000152587891},{"id":"https://openalex.org/keywords/bagging","display_name":"bagging","score":0.7009999752044678},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.7239999771118164},{"id":"https://openalex.org/keywords/substrate-dielectric-constant","display_name":"substrate dielectric constant","score":0.8999999761581421},{"id":"https://openalex.org/keywords/substrate-height","display_name":"substrate height","score":0.7319999933242798}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7309914231300354},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7220830321311951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6080859899520874},{"id":"https://openalex.org/C33441834","wikidata":"https://www.wikidata.org/wiki/Q693004","display_name":"Transmission line","level":2,"score":0.600460410118103},{"id":"https://openalex.org/C123657345","wikidata":"https://www.wikidata.org/wiki/Q639055","display_name":"Microstrip","level":2,"score":0.5810126662254333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5758421421051025},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5313751101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5199107527732849},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4352792501449585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35982006788253784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21162185072898865},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1870167851448059},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17238575220108032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14391911029815674},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09323635697364807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcat.2023.133037","doi":"https://doi.org/10.1504/ijcat.2023.133037","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcat.2023.133037","pdf_url":null,"source":{"id":"https://openalex.org/S4210207686","display_name":"International Journal of Computer Applications in Technology","issn_l":"0952-8091","issn":["0952-8091","1741-5047"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Applications in Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4405368560","https://openalex.org/W3184111172","https://openalex.org/W3119024056","https://openalex.org/W3040127771","https://openalex.org/W1615569450","https://openalex.org/W4247158626","https://openalex.org/W2073609206","https://openalex.org/W2053452103","https://openalex.org/W2091296495","https://openalex.org/W2043197907"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"supervised":[3],"machine":[4],"learning":[5,77,103],"regression":[6,92],"techniques:":[7],"Support":[8],"Vector":[9],"Machine":[10],"(SVM),":[11],"Random":[12,98,140],"Forest":[13,99,141],"and":[14,39,48,85,97],"Deep":[15],"Neural":[16],"Network":[17],"(DNN)":[18],"models,":[19,58],"are":[20,43,72,107],"demonstrated":[21],"to":[22],"predict":[23],"the":[24,28,46,52,57,59,88,144],"characteristic":[25],"impedance":[26,50],"of":[27,95,101,115,133,138,146],"microstrip":[29,33,65],"transmission":[30,34,66],"line.":[31],"Here,":[32],"line":[35,67],"width,":[36],"substrate":[37,40],"height":[38],"dielectric":[41],"constant":[42],"taken":[44],"as":[45,51,83,87],"input":[47],"characteristics":[49],"output":[53],"parameter.":[54],"To":[55],"train":[56],"data":[60],"set":[61],"is":[62,81,110,118],"created":[63],"using":[64,74,104],"analytical":[68],"models.":[69],"DNN":[70,116],"models":[71],"developed":[73],"Feed-forward":[75],"Back-propagation":[76],"algorithm,":[78],"where":[79],"'adam'":[80],"used":[82],"optimiser":[84],"'relu'":[86],"activation":[89],"function.":[90],"The":[91],"predictive":[93],"model":[94,100,117,128,142],"SVM":[96,127],"ensemble":[102],"bagging":[105],"technique":[106],"developed.":[108],"It":[109],"found":[111],"that":[112],"minimum":[113],"MSE":[114,137,145],"0.04191":[119],"with":[120,136,148],"high":[121],"execution":[122,131,149],"time":[123,132,150],"1114.179655":[124],"sec,":[125],"whereas":[126],"shows":[129],"low":[130],"0.8327":[134],"sec":[135],"0.49.":[139],"showed":[143],"0.14":[147],"1.4296":[151],"sec.":[152]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2023-08-29T00:00:00"}