Zobrazeno 1 - 10
of 8 989
pro vyhledávání: '"Wang, JianHua"'
With their prominent scene understanding and reasoning capabilities, pre-trained visual-language models (VLMs) such as GPT-4V have attracted increasing attention in robotic task planning. Compared with traditional task planning strategies, VLMs are s
Externí odkaz:
http://arxiv.org/abs/2405.13751
Autor:
Wang, Xiaotian, Bai, Jingbo, Wang, Jianhua, Cheng, Zhenxiang, Qian, Shifeng, Wang, Wenhong, Zhang, Gang, Yu, Zhi-Ming, Yao, Yugui
There has been a significant focus on real topological systems that enjoy space-time inversion symmetry (PT ) and lack spin-orbit coupling. While the theoretical classification of the real topology has been established, more progress has yet to be ma
Externí odkaz:
http://arxiv.org/abs/2405.12072
Autor:
Zhou, Yirong, Wang, Chengyan, Lu, Mengtian, Guo, Kunyuan, Wang, Zi, Ruan, Dan, Guo, Rui, Zhao, Peijun, Wang, Jianhua, Wu, Naiming, Lin, Jianzhong, Chen, Yinyin, Jin, Hang, Xie, Lianxin, Wu, Lilan, Zhu, Liuhong, Zhou, Jianjun, Cai, Congbo, Wang, He, Qu, Xiaobo
In cardiac Magnetic Resonance Imaging (MRI) analysis, simultaneous myocardial segmentation and T2 quantification are crucial for assessing myocardial pathologies. Existing methods often address these tasks separately, limiting their synergistic poten
Externí odkaz:
http://arxiv.org/abs/2405.10570
Autor:
Nittler, Larry R, Barosch, Jens, Burgess, Katherine, Stroud, Rhonda M, Wang, Jianhua, Yabuta, Hikaru, Enokido, Yuma, Matsumoto, Megumi, Nakamura, Tomoki, Kebukawa, Yoko, Yamashita, Shohei, Takahashi, Yoshio, Bejach, Laure, Bonal, Lydie, Cody, George D, Dartois, Emmanuel, Dazzi, Alexandre, De Gregorio, Bradley, Deniset-Besseau, Ariane, Duprat, Jean, Engrand, Cécile, Hashiguchi, Minako, Kilcoyne, A. L. David, Komatsu, Mutsumi, Martins, Zita, Mathurin, Jérémie, Montagnac, Gilles, Mostefaoui, Smail, Okumura, Taiga, Quirico, Eric, Remusat, Laurent, Sandford, Scott, Shigenaka, Miho, Suga, Hiroki, Takeichi, Yasuo, Tamenori, Yusuke, Verdier-Paoletti, Maximilien, Wakabayashi, Daisuke, Abe, Masanao, Kamide, Kanami, Miyazaki, Akiko, Nakato, Aiko, Nakazawa, Satoru, Nishimura, Masahiro, Okada, Tatsuaki, Saiki, Takanao, Tanaka, Satoshi, Terui, Fuyuto, Usui, Tomohiro, Yada, Toru, Yogata, Kasumi, Yoshikawa, Makoto, Yurimoto, Hisayoshi, Noguchi, Takaaki, Okazaki, Ryuji, Naraoka, Hiroshi, Sakamoto, Kanako, Tachibana, Shogo, Watanabe, Sei-ichiro, Tsuda, Yuichi
We report the H, C, and N isotopic compositions of microscale (0.2 to 2$\mu$m) organic matter in samples of asteroid Ryugu and the Orgueil CI carbonaceous chondrite. Three regolith particles of asteroid Ryugu, returned by the Hayabusa2 spacecraft, an
Externí odkaz:
http://arxiv.org/abs/2404.08795
Autor:
Xu, Xiaoyun, Wang, Xiaobing, Muinonen, Karri, Penttil, Antti, Luo, Nanping, Gu, Shenghong, Sun, Leilei, Xu, Fukun, Liu, Yisi, Xiang, Yue, Cao, Dongtao, Wang, Jianhua
The lightcurves of asteroids are essential for determining their physical characteristics, including shape, spin, size, and surface composition. However, most asteroids are missing some of these basic physical parameters due to lack of photometric da
Externí odkaz:
http://arxiv.org/abs/2401.15320
Autor:
Liu, Nan, Alexander, Conel M. O'D., Meyer, Bradley S., Nittler, Larry R., Wang, Jianhua, Stroud, Rhonda M.
We report C, N, Si, and Al-Mg isotope data for 39 presolar X silicon carbide (SiC) and four silicon nitride grains - a group of presolar grains that condensed in the remnants of core-collapse Type II supernovae (CCSNe) - isolated from the Murchison m
Externí odkaz:
http://arxiv.org/abs/2312.05347
Recently, big data has seen explosive growth in the Internet of Things (IoT). Multi-layer FL (MFL) based on cloud-edge-end architecture can promote model training efficiency and model accuracy while preserving IoT data privacy. This paper considers a
Externí odkaz:
http://arxiv.org/abs/2309.13864
Processing sensitive data and deploying well-designed Intellectual Property (IP) cores on remote Field Programmable Gate Array (FPGA) are prone to private data leakage and IP theft. One effective solution is constructing Trusted Execution Environment
Externí odkaz:
http://arxiv.org/abs/2307.04375
Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data privacy. Studies have been conducted to address challenges existing in s
Externí odkaz:
http://arxiv.org/abs/2306.00674
Publikováno v:
Anti-Corrosion Methods and Materials, 2024, Vol. 71, Issue 5, pp. 580-589.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ACMM-02-2024-2963
