Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Wang Zehao"'
Publikováno v:
Radiology and Oncology, Vol 57, Iss 4, Pp 446-454 (2023)
Previous studies have indicated that amide proton transfer-weighted imaging (APTWI) could be utilized for differentiating benign and malignant tumors. The APTWI technology has increasingly being applied to breast tumor research in recent years. Howev
Externí odkaz:
https://doaj.org/article/d336bdffc440413e9e625b4c095e64ea
Publikováno v:
MATEC Web of Conferences, Vol 395, p 01006 (2024)
In order to promote the development of miniaturization, low-energy and integration of exploding foil initiator, its low-energy design, preparation and tests were studied. It is expected to control the initiation voltage less than 1000 V. Based on the
Externí odkaz:
https://doaj.org/article/ca25489bdb5445969414a6d27af0999d
Autor:
Yao, Weiliang, Liu, Supeng, Xu, Zifan, Ishikawa, Daisuke, Wang, Zehao, Gao, Bin, Xu, Sijie, Ye, Feng, Hashimoto, Kenichiro, Shibauchi, Takasada, Baron, Alfred Q. R., Dai, Pengcheng
Kagome lattice $A$V$_3$Sb$_5$ ($A$ = K, Rb, and Cs) superconductors without magnetism from vanadium $d$-electrons are intriguing because they have a novel charge density wave (CDW) order around 90 K and display superconductivity at $\sim$3 K that com
Externí odkaz:
http://arxiv.org/abs/2410.16465
This study presents a novel evaluation framework for the Vision-Language Navigation (VLN) task. It aims to diagnose current models for various instruction categories at a finer-grained level. The framework is structured around the context-free gramma
Externí odkaz:
http://arxiv.org/abs/2409.17313
Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as powerful tools for code generation, significantly enhancing productivity and accelerating software development. However, existing benchmarks primarily focus on general code
Externí odkaz:
http://arxiv.org/abs/2409.15228
Novel view synthesis of indoor scenes can be achieved by capturing a monocular video sequence of the environment. However, redundant information caused by artificial movements in the input video data reduces the efficiency of scene modeling. In this
Externí odkaz:
http://arxiv.org/abs/2409.07098
Sound Event Detection (SED) plays a vital role in comprehending and perceiving acoustic scenes. Previous methods have demonstrated impressive capabilities. However, they are deficient in learning features of complex scenes from heterogeneous dataset.
Externí odkaz:
http://arxiv.org/abs/2409.06196
In the Sound Event Localization and Detection (SELD) task, Transformer-based models have demonstrated impressive capabilities. However, the quadratic complexity of the Transformer's self-attention mechanism results in computational inefficiencies. In
Externí odkaz:
http://arxiv.org/abs/2408.05057
This paper introduces an innovative deep learning-based method for end-to-end target radial length estimation from HRRP (High Resolution Range Profile) sequences. Firstly, the HRRP sequences are normalized and transformed into GAF (Gram Angular Field
Externí odkaz:
http://arxiv.org/abs/2407.11620
High Resolution Range Profiles (HRRP) have become a key area of focus in the domain of Radar Automatic Target Recognition (RATR). Despite the success of deep learning based HRRP recognition, these methods needs a large amount of training samples to g
Externí odkaz:
http://arxiv.org/abs/2407.08236