{"id":"https://openalex.org/W4292002258","doi":"https://doi.org/10.5281/zenodo.6997844","title":"DEVELOPMENT OF LIGHT WEIGHT DEEP LEARNING IOT INTERFACE ALGORITHM FOR BIOMEDICAL IMAGE ANALYSIS","display_name":"DEVELOPMENT OF LIGHT WEIGHT DEEP LEARNING IOT INTERFACE ALGORITHM FOR BIOMEDICAL IMAGE ANALYSIS","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4292002258","doi":"https://doi.org/10.5281/zenodo.6997844"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:6997845","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/6997845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"17(08) 917-922","raw_type":"info:eu-repo/semantics/article"},"parent_works":[],"lineage":["https://openalex.org/W4292002258"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/6997845","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053300044","display_name":"Sujit N. Deshpande","orcid":"https://orcid.org/0000-0002-6041-8666","observed_orcids":["https://orcid.org/0000-0002-6041-8666"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SUJIT N. DESHPANDE","raw_affiliation_strings":["Department of Computer Engineering, PES, Modern College of Engineering, Pune"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, PES, Modern College of Engineering, Pune","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082795603","display_name":"Rashmi M. Jogdand","orcid":"https://orcid.org/0000-0001-7636-1038","observed_orcids":["https://orcid.org/0000-0001-7636-1038"]},"institutions":[{"id":"https://openalex.org/I4400573169","display_name":"KLS Gogte Institute of Technology","ror":"https://ror.org/04ytecw04","country_code":"IN","type":"education","lineage":["https://openalex.org/I4400573169"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"RASHMI M. JOGDAND","raw_affiliation_strings":["Department of Computer Science and Engineering, KLS, Gogte Institute of Technology, Belagavi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, KLS, Gogte Institute of Technology, Belagavi","institution_ids":["https://openalex.org/I4400573169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.8568999767303467,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13038","display_name":"Internet of Things and AI","score":0.8568999767303467,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.07249999791383743,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.03440000116825104,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lightweight-deep-learning-models","display_name":"lightweight deep learning","score":0.9079999923706055},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.984000027179718},{"id":"https://openalex.org/keywords/medical-image-segmentation","display_name":"medical image segmentation","score":0.8209999799728394},{"id":"https://openalex.org/keywords/plant-disease-image-classification","display_name":"plant disease image classification","score":0.6359999775886536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358256936073303},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5810783505439758},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5604814887046814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5577448606491089},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5218590497970581},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4974081814289093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43828362226486206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3677533268928528},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14282524585723877},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11327487230300903},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:zenodo.org:6997845","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/6997845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"17(08) 917-922","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.6997844","doi":"https://doi.org/10.5281/zenodo.6997844","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6997844","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.6997845","doi":"https://doi.org/10.5281/zenodo.6997845","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6997845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:6997845","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/6997845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"17(08) 917-922","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292002258.pdf","grobid_xml":"https://content.openalex.org/works/W4292002258.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3082326062","https://openalex.org/W3171420264","https://openalex.org/W7140116395","https://openalex.org/W4285182929","https://openalex.org/W4321495905","https://openalex.org/W4401831771","https://openalex.org/W4408125653","https://openalex.org/W4414843634","https://openalex.org/W4391039274","https://openalex.org/W4206266148"],"abstract_inverted_index":{"Abstract":[0],"Biomedical":[1],"engineering":[2],"and":[3,36,137],"healthcare":[4],"sectors":[5],"are":[6],"one":[7],"of":[8,13,60,62,88,97,115,117],"the":[9,58,86,95,113,121],"most":[10],"crucial":[11],"areas":[12],"an":[14,78],"industry.":[15],"The":[16,125],"image":[17,118],"analysis":[18,29],"always":[19],"been":[20],"a":[21],"first":[22],"level":[23],"decision":[24],"maker":[25],"for":[26,34,42,80],"experts.":[27],"Image":[28],"now-a-days":[30],"not":[31,66],"remained":[32],"limited":[33,67],"medical":[35],"biomedical":[37],"applications":[38,45],"but":[39,72],"also":[40,138],"extended":[41],"many":[43],"other":[44],"like":[46],"plant":[47],"pathological":[48],"use":[49],"to":[50,68,84,120,132,144],"identify":[51],"pant/crop":[52],"diseases":[53],"or":[54],"algae":[55],"studies.":[56],"Also,":[57],"concept":[59],"Internet":[61],"Things":[63],"is":[64,106],"now":[65],"connect":[69],"core":[70],"things":[71],"eventually":[73],"can":[74,111,127,141],"be":[75,128,142],"used":[76],"as":[77,130],"interface":[79,103,110],"deep":[81,100,134],"learning":[82,101,135],"modules":[83,136],"club":[85],"benefits":[87],"both":[89],"technologies.":[90],"Hence,":[91],"this":[92],"paper":[93],"presents":[94],"development":[96],"light":[98],"weight":[99],"IoT":[102,109],"where":[104],"it":[105],"proved":[107],"that,":[108],"boost":[112],"capability":[114],"identification":[116],"parameters":[119],"actual":[122],"user":[123],"interface.":[124],"accuracy":[126],"boosted":[129],"compared":[131],"existing":[133],"segmentation":[139],"images":[140],"uploaded":[143],"Hadoop":[145],"Big":[146],"data":[147],"server.":[148]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2022-08-16T00:00:00"}
