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pro vyhledávání: '"A. Le Tuan"'
In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neighbor search applications, such as smart city infrastructure and autono
Externí odkaz:
http://arxiv.org/abs/2411.14006
In future wireless systems of beyond 5G and 6G, addressing diverse applications with varying quality requirements is essential. Open Radio Access Network (O-RAN) architectures offer the potential for dynamic resource adaptation based on traffic deman
Externí odkaz:
http://arxiv.org/abs/2410.02954
The differences in H2O2 production between conventional (CONV) and ultra-high dose rate (UHDR) irradiations in water radiolysis are still not fully understood. The lower levels of this radiolytic species, as a critical end product of water radiolysis
Externí odkaz:
http://arxiv.org/abs/2409.11993
In developing medical interventions using untethered milli- and microrobots, ensuring safety and effectiveness relies on robust methods for detection, real-time tracking, and precise localization within the body. However, the inherent non-transparenc
Externí odkaz:
http://arxiv.org/abs/2409.08337
This paper proposes a novel framework for audio deepfake detection with two main objectives: i) attaining the highest possible accuracy on available fake data, and ii) effectively performing continuous learning on new fake data in a few-shot learning
Externí odkaz:
http://arxiv.org/abs/2409.05924
Publikováno v:
MAPR2024
Cardiovascular disease remains a predominant global health concern, responsible for a significant portion of mortality worldwide. Accurate segmentation of cardiac medical imaging data is pivotal in mitigating fatality rates associated with cardiovasc
Externí odkaz:
http://arxiv.org/abs/2409.05280
Autor:
Hoang, Manh Kha, Le, Tuan Anh, Thuc, Kieu-Xuan, Van Luyen, Tong, Yang, Xin-She, Ng, Derrick Wing Kwan
This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA are optimized simultaneously to maximize the minimum beamforming gain
Externí odkaz:
http://arxiv.org/abs/2409.04228
Autor:
Nguyen, Dieu D., Cappellari, Michele, Ngo, Hai N., Le, Tinh Q. T., Ho, Khue N . H., Nguyen, An K., Tong, Huy G ., On, Phong T., Le, Tuan N., Pereira-Santaella, Miguel
The fraction of low-mass galaxies hosting an intermediate-mass black hole (IMBH, with masses $M_{\rm BH} \approx 10^2-10^5$ M$_\odot$), is sensitive to how black hole seeds formed in the early Universe but is observationally still unconstrained. In t
Externí odkaz:
http://arxiv.org/abs/2408.00239
As the role of knowledge-based systems in IoT keeps growing, ensuring resource efficiency of RDF stores becomes critical. However, up until now benchmarks of RDF stores were most often conducted with only one dataset, and the differences between the
Externí odkaz:
http://arxiv.org/abs/2406.16412
Autor:
Kästner, Linh, Shcherbyna, Volodymyir, Zeng, Huajian, Le, Tuan Anh, Schreff, Maximilian Ho-Kyoung, Osmaev, Halid, Tran, Nam Truong, Diaz, Diego, Golebiowski, Jan, Soh, Harold, Lambrecht, Jens
Publikováno v:
Robotics Science and Systems 2024, Delft Netherlands
Building upon our previous contributions, this paper introduces Arena 3.0, an extension of Arena-Bench, Arena 1.0, and Arena 2.0. Arena 3.0 is a comprehensive software stack containing multiple modules and simulation environments focusing on the deve
Externí odkaz:
http://arxiv.org/abs/2406.00837