{"id":"https://openalex.org/W2621618415","doi":"https://doi.org/10.1515/jisys-2017-0068","title":"Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network","display_name":"Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network","publication_year":2017,"publication_date":"2017-06-07","ids":{"openalex":"https://openalex.org/W2621618415","doi":"https://doi.org/10.1515/jisys-2017-0068","mag":"2621618415"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2017-0068","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2017-0068","pdf_url":null,"source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1515/jisys-2017-0068","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024049895","display_name":"Ankur Rai","orcid":"https://orcid.org/0000-0001-7919-1775"},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ankur Rai","raw_affiliation_strings":["Electronics Engineering Department , Kamla Nehru Institute of Technology , Sultanpur , Uttar Pradesh, India","Electronics Engineering Department, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Electronics Engineering Department , Kamla Nehru Institute of Technology , Sultanpur , Uttar Pradesh, India","institution_ids":["https://openalex.org/I52035452"]},{"raw_affiliation_string":"Electronics Engineering Department, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071943697","display_name":"Harsh Vikram Singh","orcid":"https://orcid.org/0000-0002-8904-862X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harsh Vikram Singh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024049895"],"corresponding_institution_ids":["https://openalex.org/I52035452"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.6372,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.77901194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"1","first_page":"105","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/watermark","display_name":"Watermark","score":0.8022289276123047},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.6960753202438354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784888505935669},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5182945132255554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5049224495887756},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.49432826042175293},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4353320002555847},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4339064955711365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43314769864082336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4257502555847168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34475040435791016},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16808637976646423}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8022289276123047},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.6960753202438354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784888505935669},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5182945132255554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049224495887756},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.49432826042175293},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4353320002555847},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4339064955711365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43314769864082336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4257502555847168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34475040435791016},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16808637976646423},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2017-0068","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2017-0068","pdf_url":null,"source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:74302f80a28c435e821b99dafaa69375","is_oa":true,"landing_page_url":"https://doaj.org/article/74302f80a28c435e821b99dafaa69375","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 27, Iss 1, Pp 105-114 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2017-0068","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2017-0068","pdf_url":null,"source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5899999737739563,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1965024978","https://openalex.org/W1970705094","https://openalex.org/W1979377186","https://openalex.org/W1982174092","https://openalex.org/W2000990531","https://openalex.org/W2009877390","https://openalex.org/W2017330456","https://openalex.org/W2019121112","https://openalex.org/W2030095740","https://openalex.org/W2069444807","https://openalex.org/W2095756412","https://openalex.org/W2100459091","https://openalex.org/W2113183384","https://openalex.org/W2113703908","https://openalex.org/W2129736077","https://openalex.org/W2133665775","https://openalex.org/W2135598178","https://openalex.org/W2139212933","https://openalex.org/W2139414064","https://openalex.org/W2155485201","https://openalex.org/W2163407995","https://openalex.org/W2294446687","https://openalex.org/W2312448392","https://openalex.org/W2325829672","https://openalex.org/W2333629918","https://openalex.org/W2514315863","https://openalex.org/W2521131243","https://openalex.org/W2547320555","https://openalex.org/W2566532372"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W1559740347","https://openalex.org/W2098152888","https://openalex.org/W2040356834","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288","https://openalex.org/W2183032046"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"discusses":[3],"a":[4,11,21,43,82,98,109,120],"safe":[5],"and":[6,42,63,92],"secure":[7],"watermarking":[8,47],"technique":[9,48],"using":[10],"machine":[12,77],"learning":[13],"algorithm.":[14],"In":[15],"this":[16,53,105],"paper,":[17],"the":[18,27,56,60,66,85,139],"propagation":[19],"of":[20,59,87,89,94,123,132,138],"watermarked":[22],"image":[23,62,142],"is":[24,49,79,117,143,149],"simulated":[25],"over":[26,65],"third-generation":[28],"partnership":[29],"project":[30],"(3GPP)/long-term":[31],"evolution":[32],"(LTE)":[33],"downlink":[34,72],"physical":[35,73],"layer.":[36,74],"The":[37,101,134],"watermark":[38,54],"data":[39],"are":[40],"scrambled":[41],"transform":[44,57],"domain-based":[45],"hybrid":[46],"used":[50,80],"to":[51],"embed":[52],"into":[55],"coefficients":[58],"host":[61],"transmitted":[64],"orthogonal":[67],"frequency":[68],"division":[69],"multiplexing":[70],"(OFDM)":[71],"Support":[75],"vector":[76],"(SVM)":[78],"as":[81],"classifier":[83],"for":[84,119,151],"classification":[86],"non-region":[88],"interest":[90,95],"(NROI)":[91],"region":[93],"(ROI)":[96],"in":[97,104],"medical":[99],"image.":[100],"result":[102],"achieved":[103],"experiment":[106],"revealed":[107],"that":[108],"10":[110],"\u22126":[111],"bit":[112],"error":[113],"rate":[114],"(BER)":[115],"value":[116,122],"realizable":[118],"greater":[121],"signal-to-noise":[124],"ratio":[125],"(SNR;":[126],"i.e.":[127],"more":[128,144],"than":[129,145],"10.4":[130],"dB":[131],"SNR).":[133],"peak":[135],"SNR":[136],"(PSNR)":[137],"received":[140],"cover":[141],"35":[146],"dB,":[147],"which":[148],"acceptable":[150],"clinical":[152],"applications.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2025-10-10T00:00:00"}