Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Alikhanov, Jumabek"'
The Lightweight Integrated Tracking-Feature Extraction (LITE) paradigm is introduced as a novel multi-object tracking (MOT) approach. It enhances ReID-based trackers by eliminating inference, pre-processing, post-processing, and ReID model training c
Externí odkaz:
http://arxiv.org/abs/2409.04187
Publikováno v:
Proceedings of The 8th International Conference on Next Generation Computing 2022 (ISSN number 2672-1562)
A safe and robust autonomous driving system relies on accurate perception of the environment for application-oriented scenarios. This paper proposes deployment of the three most crucial tasks (i.e., object detection, drivable area segmentation and la
Externí odkaz:
http://arxiv.org/abs/2210.04735
Autor:
Lee, Uichin, Jung, Gyuwon, Ma, Eun-Yeol, Kim, Jin San, Kim, Heepyung, Alikhanov, Jumabek, Noh, Youngtae, Kim, Heeyoung
With the advent of Digital Therapeutics (DTx), the development of software as a medical device (SaMD) for mobile and wearable devices has gained significant attention in recent years. Existing DTx evaluations, such as randomized clinical trials, most
Externí odkaz:
http://arxiv.org/abs/2205.01851
Publikováno v:
IEEE ICAIIC 2020
Intrusion detection system (IDS) plays an essential role in computer networks protecting computing resources and data from outside attacks. Recent IDS faces challenges improving flexibility and efficiency of the IDS for unexpected and unpredictable a
Externí odkaz:
http://arxiv.org/abs/2003.00476
Autor:
Jung, Changhun, Abuhamad, Mohammed, Alikhanov, Jumabek, Mohaisen, Aziz, Han, Kyungja, Nyang, DaeHun
Computer-aided methods for analyzing white blood cells (WBC) have become widely popular due to the complexity of the manual process. Recent works have shown highly accurate segmentation and detection of white blood cells from microscopic blood images
Externí odkaz:
http://arxiv.org/abs/1910.01091
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Metadata of scientific articles such as title, abstract, keywords or index terms, body text, conclusion, reference and others play a decisive role in collecting, managing and storing academic data in scientific databases, academic journals and digita
Externí odkaz:
http://arxiv.org/abs/1807.09009
Convolutional Networks (ConvNets) are powerful models that learn hierarchies of visual features, which could also be used to obtain image representations for transfer learning. The basic pipeline for transfer learning is to first train a ConvNet on a
Externí odkaz:
http://arxiv.org/abs/1602.00417
Autor:
Lee, Uichin, Jung, Gyuwon, Ma, Eun-Yeol, Kim, Jin San, Kim, Heepyung, Alikhanov, Jumabek, Noh, Youngtae, Kim, Heeyoung
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 10:42-66
With the advent of Digital Therapeutics (DTx), the development of software as a medical device (SaMD) for mobile and wearable devices has gained significant attention in recent years. Existing DTx evaluations, such as randomized clinical trials, most
Akademický článek
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