Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Il-Min Kim"'
Publikováno v:
IEEE Access, Vol 12, Pp 134510-134520 (2024)
This paper introduces an innovative methodology for spectrum sensing and signal classification, leveraging generative artificial intelligence and incorporating out-of-distribution (OOD) detection mechanisms. Our proposed approach demonstrates remarka
Externí odkaz:
https://doaj.org/article/485277642ccd4104a7f8256db1d17125
Autor:
Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang
Publikováno v:
IEEE Access, Vol 12, Pp 8187-8197 (2024)
Deep learning models learn powerful representational spaces required for handling complex tasks. Recently, data augmentation techniques, region-level, and image-level augmentation have proved effective in significantly improving deep learning models
Externí odkaz:
https://doaj.org/article/58bf71ee5c204a418053071cfbe4ead6
Publikováno v:
IEEE Access, Vol 11, Pp 131623-131638 (2023)
Neurons of the brain never produce the same output twice even when the same stimuli are presented; this is because of their internal noisy biological processes. Likewise, in this work, we study activation noise jointly during training, and inference,
Externí odkaz:
https://doaj.org/article/bd055cddbb8c42b292e3d024ab746568
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3898 (2023)
Quality control in manufacturing equipment relies heavily on the detection of steel surface defects. Recently, there have been an increasing number of efforts in which object detection techniques have been utilized to achieve promising results in the
Externí odkaz:
https://doaj.org/article/802db54b0f414f729a9a0a48394d2e11
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-12 (2021)
Abstract In this research, we study soft-output decoding of polar codes. Two representative soft-output decoding algorithms are belief propagation (BP) and soft cancellation (SCAN). The BP algorithm has low latency but suffers from high computational
Externí odkaz:
https://doaj.org/article/0d80fd201d1645aeb0528921911b30d0
Publikováno v:
Sensors, Vol 23, Iss 10, p 4929 (2023)
As the number of Internet of things (IoT) devices increases exponentially, scheduling and managing the radio resources for IoT devices has become more important. To efficiently allocate radio resources, the base station (BS) needs the channel state i
Externí odkaz:
https://doaj.org/article/e1b8f88d09b440f390f86f8c87c89130
Publikováno v:
IEEE Access, Vol 8, Pp 121162-121181 (2020)
Channel estimation with received signal-to-noise ratio (SNR) feedback is promising and effective for practical wireless multiple-input multiple-output (MIMO) systems. In this paper, we investigate the channel estimation problem for the MIMO system wi
Externí odkaz:
https://doaj.org/article/96738d85467c426ab5655221c21c5ba9
Publikováno v:
IEEE Internet of Things Journal. 9:16113-16127
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:5615-5620
Publikováno v:
IEEE Wireless Communications Letters. 11:622-626