{"id":"https://openalex.org/W3014347284","doi":"https://doi.org/10.1088/2632-2153/abf5b6","title":"Adaptive partial scanning transmission electron microscopy with reinforcement learning","display_name":"Adaptive partial scanning transmission electron microscopy with reinforcement learning","publication_year":2021,"publication_date":"2021-04-07","ids":{"openalex":"https://openalex.org/W3014347284","doi":"https://doi.org/10.1088/2632-2153/abf5b6","mag":"3014347284"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/abf5b6","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abf5b6","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abf5b6/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abf5b6/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001453396","display_name":"Jeffrey M. Ede","orcid":"https://orcid.org/0000-0002-9358-5364"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jeffrey M Ede","raw_affiliation_strings":["Department of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom","University of Warwick"],"raw_orcid":"https://orcid.org/0000-0002-9358-5364","affiliations":[{"raw_affiliation_string":"Department of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"University of Warwick","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001453396"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"4","first_page":"045011","last_page":"045011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7194163203239441},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6469589471817017},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6422467231750488},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6366158723831177},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5878980159759521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5686500072479248},{"id":"https://openalex.org/keywords/spiral","display_name":"Spiral (railway)","score":0.5601173043251038},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5417190194129944},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5228319764137268},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5094192624092102},{"id":"https://openalex.org/keywords/scanning-transmission-electron-microscopy","display_name":"Scanning transmission electron microscopy","score":0.48178693652153015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45911261439323425},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.44042107462882996},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4386036694049835},{"id":"https://openalex.org/keywords/transmission-electron-microscopy","display_name":"Transmission electron microscopy","score":0.4328278601169586},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.426421195268631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38666099309921265},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3015783429145813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28475719690322876},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19495490193367004},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11813926696777344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0964677631855011},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07854783535003662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194163203239441},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6469589471817017},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6422467231750488},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6366158723831177},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5878980159759521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5686500072479248},{"id":"https://openalex.org/C174128100","wikidata":"https://www.wikidata.org/wiki/Q846907","display_name":"Spiral (railway)","level":2,"score":0.5601173043251038},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5417190194129944},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5228319764137268},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5094192624092102},{"id":"https://openalex.org/C193016168","wikidata":"https://www.wikidata.org/wiki/Q874835","display_name":"Scanning transmission electron microscopy","level":3,"score":0.48178693652153015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45911261439323425},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.44042107462882996},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4386036694049835},{"id":"https://openalex.org/C146088050","wikidata":"https://www.wikidata.org/wiki/Q744818","display_name":"Transmission electron microscopy","level":2,"score":0.4328278601169586},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.426421195268631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38666099309921265},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3015783429145813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28475719690322876},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19495490193367004},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11813926696777344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0964677631855011},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07854783535003662},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1088/2632-2153/abf5b6","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abf5b6","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abf5b6/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:145930","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Working or Discussion Paper"},{"id":"pmh:oai:arXiv.org:2004.02786","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.02786","pdf_url":"https://arxiv.org/pdf/2004.02786","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3014347284","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2004.02786","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2004.02786","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.02786","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/abf5b6","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abf5b6","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abf5b6/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1431922895","display_name":"ADEPT - Advanced Devices by ElectroPlaTing","funder_award_id":"EP/N035437/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1457043649","display_name":null,"funder_award_id":"1917382","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8547666004","display_name":null,"funder_award_id":"EP/N035437/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":134,"referenced_works":["https://openalex.org/W139960808","https://openalex.org/W581956982","https://openalex.org/W1484210532","https://openalex.org/W1591801644","https://openalex.org/W1777239053","https://openalex.org/W1815076433","https://openalex.org/W1945715282","https://openalex.org/W1994940545","https://openalex.org/W2003160173","https://openalex.org/W2013770351","https://openalex.org/W2017957151","https://openalex.org/W2044279302","https://openalex.org/W2061926706","https://openalex.org/W2064675550","https://openalex.org/W2071284784","https://openalex.org/W2110768232","https://openalex.org/W2116383462","https://openalex.org/W2117274978","https://openalex.org/W2142899754","https://openalex.org/W2145339207","https://openalex.org/W2147233946","https://openalex.org/W2147361252","https://openalex.org/W2147527908","https://openalex.org/W2150355110","https://openalex.org/W2156737235","https://openalex.org/W2157331557","https://openalex.org/W2160067530","https://openalex.org/W2163605009","https://openalex.org/W2168399082","https://openalex.org/W2170930585","https://openalex.org/W2173248099","https://openalex.org/W2192929716","https://openalex.org/W2250904038","https://openalex.org/W2253093986","https://openalex.org/W2291973609","https://openalex.org/W2402144811","https://openalex.org/W2422403945","https://openalex.org/W2486196027","https://openalex.org/W2509374375","https://openalex.org/W2521757446","https://openalex.org/W2523246573","https://openalex.org/W2530887700","https://openalex.org/W2555811267","https://openalex.org/W2558155811","https://openalex.org/W2571005879","https://openalex.org/W2580175322","https://openalex.org/W2593919340","https://openalex.org/W2603433416","https://openalex.org/W2623491082","https://openalex.org/W2754132561","https://openalex.org/W2756130528","https://openalex.org/W2758781421","https://openalex.org/W2762685704","https://openalex.org/W2772721022","https://openalex.org/W2778749116","https://openalex.org/W2787938642","https://openalex.org/W2798579706","https://openalex.org/W2798705390","https://openalex.org/W2809546903","https://openalex.org/W2810374434","https://openalex.org/W2884193496","https://openalex.org/W2902240649","https://openalex.org/W2914540228","https://openalex.org/W2914731160","https://openalex.org/W2943371177","https://openalex.org/W2946154049","https://openalex.org/W2949763090","https://openalex.org/W2952962542","https://openalex.org/W2959334635","https://openalex.org/W2962793481","https://openalex.org/W2963059228","https://openalex.org/W2963211300","https://openalex.org/W2964054038","https://openalex.org/W2964081807","https://openalex.org/W2964121744","https://openalex.org/W2964212578","https://openalex.org/W2965746167","https://openalex.org/W2966284335","https://openalex.org/W2969341539","https://openalex.org/W2971082124","https://openalex.org/W2973400721","https://openalex.org/W2975762994","https://openalex.org/W2979417040","https://openalex.org/W2981643690","https://openalex.org/W2997277308","https://openalex.org/W2998102890","https://openalex.org/W3006913750","https://openalex.org/W3010077841","https://openalex.org/W3011762972","https://openalex.org/W3027859052","https://openalex.org/W3084979415","https://openalex.org/W3098900881","https://openalex.org/W3100302110","https://openalex.org/W3101356658","https://openalex.org/W3103105237","https://openalex.org/W3175956061","https://openalex.org/W4250459844","https://openalex.org/W6605751541","https://openalex.org/W6616837769","https://openalex.org/W6628927728","https://openalex.org/W6631190155","https://openalex.org/W6635446068","https://openalex.org/W6638088447","https://openalex.org/W6638545294","https://openalex.org/W6649295632","https://openalex.org/W6677183884","https://openalex.org/W6681461285","https://openalex.org/W6682137061","https://openalex.org/W6683935339","https://openalex.org/W6684191040","https://openalex.org/W6684921986","https://openalex.org/W6691153465","https://openalex.org/W6696783566","https://openalex.org/W6713134421","https://openalex.org/W6729210268","https://openalex.org/W6730129911","https://openalex.org/W6732665253","https://openalex.org/W6736210646","https://openalex.org/W6739193204","https://openalex.org/W6741414320","https://openalex.org/W6746622358","https://openalex.org/W6748839928","https://openalex.org/W6750645735","https://openalex.org/W6753278433","https://openalex.org/W6753834191","https://openalex.org/W6756223733","https://openalex.org/W6759225949","https://openalex.org/W6761960898","https://openalex.org/W6762277727","https://openalex.org/W6762734363","https://openalex.org/W6767886268","https://openalex.org/W6769578054","https://openalex.org/W6771956426","https://openalex.org/W6891817279"],"related_works":["https://openalex.org/W3046231997","https://openalex.org/W2995576929","https://openalex.org/W2947206247","https://openalex.org/W2907696891","https://openalex.org/W2995396522","https://openalex.org/W2968337696","https://openalex.org/W3105425607","https://openalex.org/W3094286386","https://openalex.org/W2979554295","https://openalex.org/W3165382320","https://openalex.org/W2884293458","https://openalex.org/W2887505908","https://openalex.org/W3161738622","https://openalex.org/W2605364158","https://openalex.org/W3212809894","https://openalex.org/W3199795049","https://openalex.org/W2786974937","https://openalex.org/W2803086176","https://openalex.org/W2154957536","https://openalex.org/W3089733083"],"abstract_inverted_index":{"Abstract":[0],"Compressed":[1],"sensing":[2,24],"can":[3],"decrease":[4],"scanning":[5],"transmission":[6],"electron":[7,9],"microscopy":[8],"dose":[10],"and":[11,131,135,144],"scan":[12,72,77,88,102],"time":[13],"with":[14,113],"minimal":[15],"information":[16],"loss.":[17],"Traditionally,":[18],"sparse":[19,71,122],"scans":[20,34,52,55],"used":[21],"in":[22],"compressed":[23],"sample":[25],"a":[26,57,66,69,93,114],"static":[27,51,54],"set":[28],"of":[29,50,59],"probing":[30],"locations.":[31],"However,":[32],"dynamic":[33,61],"that":[35,74,119],"adapt":[36],"to":[37,41,44,79,111],"specimens":[38,80],"are":[39,56,83,90],"expected":[40],"be":[42],"able":[43],"match":[45],"or":[46],"surpass":[47],"the":[48,121],"performance":[49],"as":[53,81],"subset":[58],"possible":[60],"scans.":[62,123],"Thus,":[63],"we":[64],"present":[65],"prototype":[67],"for":[68,87],"contiguous":[70],"system":[73],"piecewise":[75],"adapts":[76],"paths":[78],"they":[82],"scanned.":[84],"Sampling":[85],"directions":[86],"segments":[89],"chosen":[91],"by":[92,108],"recurrent":[94],"neural":[95,117],"network":[96,118],"(RNN)":[97],"based":[98],"on":[99],"previously":[100],"observed":[101],"segments.":[103],"The":[104],"RNN":[105],"is":[106,147],"trained":[107],"reinforcement":[109],"learning":[110,128],"cooperate":[112],"feedforward":[115],"convolutional":[116],"completes":[120],"This":[124],"paper":[125],"presents":[126],"our":[127],"policy,":[129],"experiments,":[130],"example":[132],"partial":[133],"scans,":[134],"discusses":[136],"future":[137],"research":[138],"directions.":[139],"Source":[140],"code,":[141],"pretrained":[142],"models,":[143],"training":[145],"data":[146],"openly":[148],"accessible":[149],"at":[150],"https://github.com/Jeffrey-Ede/adaptive-scans":[151],".":[152]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
