Zobrazeno 1 - 10
of 49 704
pro vyhledávání: '"Thai A"'
Autor:
Tan Phat Vo, Thai Anh Thi Ho, Nguyen Minh Huy Ha, Minh Thu Nguyen, Man Man Chung, Hoang Nhan Nguyen, Dinh Quan Nguyen
Publikováno v:
Applied Food Research, Vol 4, Iss 2, Pp 100451- (2024)
The aim of this study was to recover bioactive compounds from Smallanthus sonchifolius roots, including flavonoids, terpenoids, phenolics, vitamin C, and reducing sugar contents, as well as to examine antioxidant activities using ultrasonic-assisted
Externí odkaz:
https://doaj.org/article/0579ce3dd9a14c30870bce4631f58c3a
Autor:
Tan Phat Vo, Thuy Han Phan, Nguyen Thuc Doan Luu, Thi Bich Xuong Tran, Nhat Quyen Pham, Thai Anh Thi Ho, Nguyen Minh Huy Ha, Minh Thu Nguyen, Dinh Quan Nguyen
Publikováno v:
International Journal of Chemical Engineering, Vol 2024 (2024)
This investigation focused on assessing and enhancing ultrasound-assisted extraction (UAE) using natural deep eutectic solvents (NADES) to extract phenolics and terpenoids from sweet basil leaves. The initial stage involved evaluating the extraction
Externí odkaz:
https://doaj.org/article/0f913ca6e33d4a61a9671a6542f5994b
Autor:
Yuki Oi, Masakazu Hirose, Hiroki Togo, Kenji Yoshinaga, Thai Akasaka, Tomohisa Okada, Toshihiko Aso, Ryosuke Takahashi, Matthew F. Glasser, Takuya Hayashi, Takashi Hanakawa
Publikováno v:
NeuroImage, Vol 281, Iss , Pp 120377- (2023)
The Human Connectome Project (HCP)-style surface-based brain MRI analysis is a powerful technique that allows precise mapping of the cerebral cortex. However, the strength of its surface-based analysis has not yet been tested in the older population
Externí odkaz:
https://doaj.org/article/9180661532b34efba47e944d6b249308
Publikováno v:
IEEE Access, Vol 11, Pp 47432-47447 (2023)
In this paper, a high voltage gain non-isolated three-port converter with a three-winding coupled inductor is proposed for renewable energy system. By implementing a cascoded structure where a photovoltaic (PV) source is stacked on top of a battery v
Externí odkaz:
https://doaj.org/article/6a82e3ecd9db442f89f05382f80fea46
Autor:
Tomohisa Okada, Hideto Kuribayashi, Yuta Urushibata, Koji Fujimoto, Thai Akasaka, Ravi Teja Seethamraju, Sinyeob Ahn, Tadashi Isa
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e18357- (2023)
Rationale and objectives: Macromolecules (MMs) affect the precision and accuracy of neurochemical quantification in magnetic resonance spectroscopy. A measured MM basis is increasingly used in LCModel analysis combined with a spline baseline, whose s
Externí odkaz:
https://doaj.org/article/5e5e2f7cc89944faa51a11cfa09bf9f7
Autor:
Ly, Son Thai, Nguyen, Hien V.
Adapting vision transformer foundation models through parameter-efficient fine-tuning (PEFT) methods has become increasingly popular. These methods optimize a limited subset of parameters, enabling efficient adaptation without the need to fine-tune t
Externí odkaz:
http://arxiv.org/abs/2411.19297
Autor:
Nguyen, Thai-Binh, Waibel, Alexander
Speaker-attributed automatic speech recognition (SA-ASR) aims to transcribe speech while assigning transcripts to the corresponding speakers accurately. Existing methods often rely on complex modular systems or require extensive fine-tuning of joint
Externí odkaz:
http://arxiv.org/abs/2411.18152
Symmetry is a ubiquitous and fundamental property in the visual world, serving as a critical cue for perception and structure interpretation. This paper investigates the detection of 3D reflection symmetry from a single RGB image, and reveals its sig
Externí odkaz:
http://arxiv.org/abs/2411.17763
Autor:
Kokane, Shirley, Zhu, Ming, Awalgaonkar, Tulika, Zhang, Jianguo, Hoang, Thai, Prabhakar, Akshara, Liu, Zuxin, Lan, Tian, Yang, Liangwei, Tan, Juntao, Murthy, Rithesh, Yao, Weiran, Liu, Zhiwei, Niebles, Juan Carlos, Wang, Huan, Heinecke, Shelby, Xiong, Caiming, Savarese, Silivo
Evaluating the output of Large Language Models (LLMs) is one of the most critical aspects of building a performant compound AI system. Since the output from LLMs propagate to downstream steps, identifying LLM errors is crucial to system performance.
Externí odkaz:
http://arxiv.org/abs/2411.13547
Autor:
Bui, Thai, Vu, Hoa T.
We study the maximum set coverage problem in the massively parallel model. In this setting, $m$ sets that are subsets of a universe of $n$ elements are distributed among $m$ machines. In each round, these machines can communicate with each other, sub
Externí odkaz:
http://arxiv.org/abs/2411.11277