Zobrazeno 1 - 10
of 2 708
pro vyhledávání: '"Tian-Zhi An"'
Publikováno v:
Journal of International Medical Research, Vol 49 (2021)
Objective To investigative whether the odds tumor enhancement ratio (OTER) on cross-sectional imaging is a prognostic factor for hepatocellular carcinoma after transarterial chemoembolization (TACE). Methods This study involved 126 patients who under
Externí odkaz:
https://doaj.org/article/9e7207538f2746039881f8a97ea5d805
The rapid growth of Internet of Things (IoT) has led to the widespread deployment of smart IoT devices at wireless edge for collaborative machine learning tasks, ushering in a new era of edge learning. With a huge number of hardware-constrained IoT d
Externí odkaz:
http://arxiv.org/abs/2403.20188
Scaling law principles indicate a power-law correlation between loss and variables such as model size, dataset size, and computational resources utilized during training. These principles play a vital role in optimizing various aspects of model pre-t
Externí odkaz:
http://arxiv.org/abs/2403.06563
Autor:
Song, Lian-Yun, Tian, Zhi-Jia
Binary stars ubiquitous throughout the universe are important. Contact binaries (CBs) possessing Period-Luminosity (PL) relations could be adopted as distance tracers. The PL relations of CBs are influenced by metallicity abundance and color index, w
Externí odkaz:
http://arxiv.org/abs/2402.13585
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Objectives: To develop and validate a predictive model for early refractoriness of transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC).Methods: In this multicenter retrospective study, a total of 204 consecutive pat
Externí odkaz:
https://doaj.org/article/c7eb398bf2484c91a26ea419733192f9
Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets and human efforts, while learning-based approaches resort to iterative refinement for calibration results, posing constraints on their generalization and app
Externí odkaz:
http://arxiv.org/abs/2312.01085
This paper investigates the problem of decentralized resource allocation in the presence of Byzantine attacks. Such attacks occur when an unknown number of malicious agents send random or carefully crafted messages to their neighbors, aiming to preve
Externí odkaz:
http://arxiv.org/abs/2310.05698
This paper studies distributed online learning under Byzantine attacks. The performance of an online learning algorithm is often characterized by (adversarial) regret, which evaluates the quality of one-step-ahead decision-making when an environment
Externí odkaz:
http://arxiv.org/abs/2307.07980
This work aims to present a joint resource allocation method for a fog-assisted network wherein IoT wireless devices simultaneously offload their tasks to a serving fog node. The main contribution is to formulate joint minimization of service latency
Externí odkaz:
http://arxiv.org/abs/2307.06849
This paper investigates the capability of plain Vision Transformers (ViTs) for semantic segmentation using the encoder-decoder framework and introduces \textbf{SegViTv2}. In this study, we introduce a novel Attention-to-Mask (\atm) module to design a
Externí odkaz:
http://arxiv.org/abs/2306.06289