Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maxwell M. Omwenga"'
Publikováno v:
IRI
The conventional ground penetrating radar (GPR) data analysis methods, which use piecemeal approaches in processing the GPR data formulated in variant formats such as A-Scan, B-Scan, and C-Scan, fail to provide a global view of underground objects on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f46100ec6e218aa97cf22f311196c93
https://doi.org/10.1109/iri51335.2021.00027
https://doi.org/10.1109/iri51335.2021.00027
Publikováno v:
ICII
Autonomous cognitive ground penetrating radar (ACGPR), carried by drones or other robotic platforms, may perform robust and accurate subsurface object detection and recognition in varying environments based on real-time data processing and decision m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::088fa6d1e367841c1d39b50dc5009c6a
https://doi.org/10.1109/icii.2019.00066
https://doi.org/10.1109/icii.2019.00066
Publikováno v:
ICC
With distributed communication, computation, and storage resources close to end users/devices, fog computing (FC) makes it very promising to develop cognitive portable ground penetrating radars (GPRs) operating intelligently and adaptively under vary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70df6a707ee1a51977743a1b2add452f
https://doi.org/10.1109/icc.2019.8761107
https://doi.org/10.1109/icc.2019.8761107
Publikováno v:
Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China.
With distributed communication, computation, and storage resources close to end users, edge computing has great potentials to support delay-sensitive industrial applications involving intelligent edge devices. Cognitive portable ground penetrating ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2719eb4591224f01f8f040077127bf6a
https://doi.org/10.4108/eai.29-6-2019.2282886
https://doi.org/10.4108/eai.29-6-2019.2282886