{"id":"https://openalex.org/W2808302511","doi":"https://doi.org/10.1109/icaci.2018.8377539","title":"Tremor attenuation for surgical robots using support vector machine with parameters optimization","display_name":"Tremor attenuation for surgical robots using support vector machine with parameters optimization","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2808302511","doi":"https://doi.org/10.1109/icaci.2018.8377539","mag":"2808302511"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2018.8377539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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/A5089800679","display_name":"Jing Luo","orcid":"https://orcid.org/0000-0003-0646-743X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Luo","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019906827","display_name":"Chenguang Yang","orcid":"https://orcid.org/0000-0001-5255-5559"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Yang","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025577543","display_name":"Shi\u2010Lu Dai","orcid":"https://orcid.org/0000-0002-8115-8787"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Lu Dai","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733163","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0001-6300-578X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089800679"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3269,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56267131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"667","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10868","display_name":"Soft Robotics and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10919","display_name":"Neurological disorders and treatments","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691839098930359},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6596056222915649},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6466794610023499},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.6333969831466675},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5855717062950134},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5432738661766052},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5320293307304382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523586630821228},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4823974370956421},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.481586217880249},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4712177813053131},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4497596025466919},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4123441278934479},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23815059661865234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12801945209503174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691839098930359},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6596056222915649},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6466794610023499},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6333969831466675},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5855717062950134},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5432738661766052},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5320293307304382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523586630821228},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4823974370956421},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.481586217880249},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4712177813053131},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4497596025466919},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4123441278934479},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23815059661865234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12801945209503174},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2018.8377539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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":21,"referenced_works":["https://openalex.org/W1989787385","https://openalex.org/W2020949881","https://openalex.org/W2096158247","https://openalex.org/W2100664256","https://openalex.org/W2102015278","https://openalex.org/W2110347098","https://openalex.org/W2116171479","https://openalex.org/W2134178143","https://openalex.org/W2171431783","https://openalex.org/W2171693931","https://openalex.org/W2249401250","https://openalex.org/W2534129474","https://openalex.org/W2610003734","https://openalex.org/W2613224674","https://openalex.org/W2613446563","https://openalex.org/W2617849705","https://openalex.org/W2755123442","https://openalex.org/W2766796613","https://openalex.org/W2767507316","https://openalex.org/W6738368377","https://openalex.org/W6746089629"],"related_works":["https://openalex.org/W2062605435","https://openalex.org/W2273182195","https://openalex.org/W2186374051","https://openalex.org/W2377963109","https://openalex.org/W2022279172","https://openalex.org/W2352247021","https://openalex.org/W2145835458","https://openalex.org/W2059332403","https://openalex.org/W2767089762","https://openalex.org/W2066034608"],"abstract_inverted_index":{"Reliability":[0],"and":[1,57],"accuracy":[2],"of":[3,19,21,95,102],"the":[4,12,17,22,49,68,96,100],"minimally":[5],"invasive":[6],"surgery":[7],"may":[8],"be":[9],"influenced":[10],"by":[11],"surgeons":[13],"hand":[14,40],"tremor":[15,29,41],"in":[16,67,99],"process":[18],"operation":[20],"surgical":[23],"robot.":[24],"In":[25],"this":[26],"work,":[27],"a":[28,62,73,80],"attenuation":[30],"method":[31,44,70,82,98],"based":[32],"on":[33],"machine":[34],"learning":[35],"is":[36,45,65],"presented":[37],"to":[38,71,83],"track":[39],"effectively.":[42],"This":[43],"designed":[46],"for":[47],"filtering":[48],"interference":[50],"signal":[51],"with":[52],"small":[53],"scale":[54],"sampling":[55],"data":[56],"high":[58],"dimension":[59],"feature.":[60],"First,":[61],"hybrid":[63],"kernel":[64],"adopted":[66],"proposed":[69,97],"obtain":[72],"good":[74],"generalization":[75],"ability.":[76],"Then,":[77],"we":[78],"introduce":[79],"optimization":[81],"find":[84],"t":[85],"he":[86],"optimal":[87],"model":[88],"parameters.":[89],"Besides,":[90],"experimental":[91],"results":[92],"demonstrated":[93],"effectiveness":[94],"case":[101],"limited":[103],"samples.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
