print

Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era

author
Jameel, Furqan
Sharma, Navuday
Khan, Muhammad Awais
Khan, Imran
Alam, Muhammad Mahtab
Alam, Muhammad Mahtab
Mavromoustakis, Constandinos X.
statement of authorship
Furqan Jameel, Navuday Sharma, Muhammad Awais Khan, Imran Khan, Muhammad Mahtab Alam, George Mastorakis and Constandinos X. Mavromoustakis
source
Internet of Things
location of publication
Cham, Switzerland
publisher
Internet of Things
pages
2020
url
https://doi.org/10.1007/978-3-030-44907-0_8
subject term
tehisintellekt
asjade internet
tehisõpe
arvutivõrgud
Scopus
Article collection metrics at Scopus
Article at Scopus
kvartiil
Q2
category (general)
Computer science
Physics and astronomy
category (sub)
Computer science. Computational theory and mathematics
Computer science. Computer science applications
Computer science. Signal processing
Computer science. Computer networks and communications
Physics and astronomy. Instrumentation
Computer science. Artificial intelligence
keyword
ambient backscatter communication
artificial neural networks (ANN)
deep learning
internet-of-things (IoT)
machine learning
reinforcement learning
ISSN
2199-1073
notes
Bibliogr.: 37 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Uurimisrühm
Communication systems research group
Jameel, F., Sharma, N., Khan, M.A., Khan, I., Alam, M.M., Mastorakis, G., Mavromoustakis, C.X. Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era // Internet of Things. Cham, Switzerland : Internet of Things, 2020. https://doi.org/10.1007/978-3-030-44907-0_8