{"id":"https://openalex.org/W4405104389","doi":"https://doi.org/10.1109/milcom61039.2024.10773866","title":"Machine Learning Prediction of Multi-Band Clutter Loss using Deep Neural Networks","display_name":"Machine Learning Prediction of Multi-Band Clutter Loss using Deep Neural Networks","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4405104389","doi":"https://doi.org/10.1109/milcom61039.2024.10773866"},"language":"en","primary_location":{"id":"doi:10.1109/milcom61039.2024.10773866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10773866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042968866","display_name":"Derrick Dominic","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derrick Dominic","raw_affiliation_strings":["The MITRE Corporation,Bedford,MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation,Bedford,MA","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008000791","display_name":"William Durkin","orcid":"https://orcid.org/0000-0002-8458-7990"},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Joseph Durkin","raw_affiliation_strings":["The MITRE Corporation,Bedford,MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation,Bedford,MA","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083641906","display_name":"Masoud Farshchian","orcid":"https://orcid.org/0000-0002-8416-8593"},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Masoud Farshchian","raw_affiliation_strings":["The MITRE Corporation,Bedford,MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation,Bedford,MA","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017161048","display_name":"Harris Zebrowitz","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harris Zebrowitz","raw_affiliation_strings":["The MITRE Corporation,Bedford,MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation,Bedford,MA","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009301627","display_name":"Amy Castro Baker","orcid":"https://orcid.org/0000-0002-2074-3501"},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy Baker","raw_affiliation_strings":["The MITRE Corporation,Bedford,MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation,Bedford,MA","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082932779","display_name":"Fredrick Howard","orcid":null},"institutions":[{"id":"https://openalex.org/I1279970786","display_name":"Defense Information Systems Agency","ror":"https://ror.org/01xyx5098","country_code":"US","type":"government","lineage":["https://openalex.org/I1279970786","https://openalex.org/I1330347796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fredrick Howard","raw_affiliation_strings":["DISA,Fort Meade,MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DISA,Fort Meade,MD","institution_ids":["https://openalex.org/I1279970786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32553069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11444","display_name":"Electromagnetic Compatibility and Noise Suppression","score":0.8618000149726868,"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/T11444","display_name":"Electromagnetic Compatibility and Noise Suppression","score":0.8618000149726868,"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/T10262","display_name":"Microwave Engineering and Waveguides","score":0.8442000150680542,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.8425999879837036,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7995468974113464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072386741638184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6766995787620544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5921722054481506},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5880091786384583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48372748494148254},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4161542057991028},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20003080368041992},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.18774402141571045}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7995468974113464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072386741638184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6766995787620544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5921722054481506},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5880091786384583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48372748494148254},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4161542057991028},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20003080368041992},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.18774402141571045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom61039.2024.10773866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10773866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1531640903","https://openalex.org/W1623781634","https://openalex.org/W2776994552","https://openalex.org/W2911964244","https://openalex.org/W3012493554","https://openalex.org/W3038310662","https://openalex.org/W3186604907","https://openalex.org/W4315652086","https://openalex.org/W6631190155","https://openalex.org/W6640566251","https://openalex.org/W6686539272"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W4380075502","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W3208304128","https://openalex.org/W2979433843"],"abstract_inverted_index":{"Efficient":[0],"interference":[1],"free":[2],"spectrum":[3],"sharing":[4],"between":[5],"Department":[6],"of":[7,18,22,50,84],"Defense":[8],"(DoD)":[9],"and":[10],"commercial":[11],"cellular":[12,23,46],"systems":[13],"rely":[14],"on":[15],"accurate":[16],"prediction":[17],"clutter":[19,31,55,78,102,108],"loss.":[20],"Deployment":[21],"services":[24],"into":[25],"a":[26,44,48,65],"new":[27,30,112],"band":[28,51,100],"requires":[29],"loss":[32,56,79,103,109],"statistics":[33,57,80,104,110],"for":[34,43],"the":[35,77,85,107],"band.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"assume":[41],"that":[42,92],"given":[45],"deployment,":[47],"set":[49],"specific":[52,101],"field":[53,98],"validated":[54,99],"exist.":[58],"We":[59],"then":[60],"present":[61],"an":[62],"extension":[63],"to":[64,74,105],"previously":[66],"developed":[67],"deep":[68],"learning":[69,94],"neural":[70],"network":[71],"(DNN)":[72],"[1]":[73],"accurately":[75],"predict":[76,106],"in":[81,111,118],"bands":[82],"outside":[83],"training":[86],"set.":[87],"The":[88,114],"results":[89],"presented":[90],"suggest":[91],"machine":[93],"can":[95],"leverage":[96],"existing":[97],"bands.":[113],"approach":[115],"offers":[116],"saving":[117],"cost,":[119],"time":[120],"as":[121,123],"well":[122],"computational":[124],"resources.":[125]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
