@inproceedings{
 title = {Embedded Machine Learning for the implementation of Autonomous Mobile Sensor Nodes (AMSNs)},
 type = {inproceedings},
 year = {2021},
 pages = {4-4},
 month = {12},
 publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
 day = {6},
 id = {bece71ec-0a80-33fe-bd45-7c19de366a03},
 created = {2022-09-29T07:47:52.731Z},
 file_attached = {true},
 profile_id = {c3c41a69-4b45-352f-9232-4d3281e18730},
 group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
 last_modified = {2023-01-12T10:14:07.034Z},
 read = {true},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 folder_uuids = {6aec054e-977e-4d9f-8f01-b49e735da52b,9e28b3ab-dc65-4cb8-8373-439f2758a335},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Di Nunzio, Luca},
 doi = {10.23919/eecsi53397.2021.9624250}
}

{"_id":"2L3ajF7j57k438Yuv","bibbaseid":"dinunzio-embeddedmachinelearningfortheimplementationofautonomousmobilesensornodesamsns-2021","author_short":["Di Nunzio, L."],"bibdata":{"title":"Embedded Machine Learning for the implementation of Autonomous Mobile Sensor Nodes (AMSNs)","type":"inproceedings","year":"2021","pages":"4-4","month":"12","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","day":"6","id":"bece71ec-0a80-33fe-bd45-7c19de366a03","created":"2022-09-29T07:47:52.731Z","file_attached":"true","profile_id":"c3c41a69-4b45-352f-9232-4d3281e18730","group_id":"5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1","last_modified":"2023-01-12T10:14:07.034Z","read":"true","starred":false,"authored":false,"confirmed":false,"hidden":false,"folder_uuids":"6aec054e-977e-4d9f-8f01-b49e735da52b,9e28b3ab-dc65-4cb8-8373-439f2758a335","private_publication":false,"bibtype":"inproceedings","author":"Di Nunzio, Luca","doi":"10.23919/eecsi53397.2021.9624250","bibtex":"@inproceedings{\n title = {Embedded Machine Learning for the implementation of Autonomous Mobile Sensor Nodes (AMSNs)},\n type = {inproceedings},\n year = {2021},\n pages = {4-4},\n month = {12},\n publisher = {Institute of Electrical and Electronics Engineers (IEEE)},\n day = {6},\n id = {bece71ec-0a80-33fe-bd45-7c19de366a03},\n created = {2022-09-29T07:47:52.731Z},\n file_attached = {true},\n profile_id = {c3c41a69-4b45-352f-9232-4d3281e18730},\n group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},\n last_modified = {2023-01-12T10:14:07.034Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n folder_uuids = {6aec054e-977e-4d9f-8f01-b49e735da52b,9e28b3ab-dc65-4cb8-8373-439f2758a335},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Di Nunzio, Luca},\n doi = {10.23919/eecsi53397.2021.9624250}\n}","author_short":["Di Nunzio, L."],"urls":{"Paper":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c/file/6bef5388-92eb-3173-6940-7a383a899706/Embedded_Machine_Learning_for_the_implementation_of_Autonomous_Mobile_Sensor_Nodes_AMSNs.pdf.pdf"},"biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibbaseid":"dinunzio-embeddedmachinelearningfortheimplementationofautonomousmobilesensornodesamsns-2021","role":"author","metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","dataSources":["2252seNhipfTmjEBQ"],"keywords":[],"search_terms":["embedded","machine","learning","implementation","autonomous","mobile","sensor","nodes","amsns","di nunzio"],"title":"Embedded Machine Learning for the implementation of Autonomous Mobile Sensor Nodes (AMSNs)","year":2021}