Zobrazeno 1 - 10
of 542
pro vyhledávání: '"ZHANG Jiansong"'
Publikováno v:
Xibei zhiwu xuebao, Vol 44, Iss 8, Pp 1331-1337 (2024)
Abstract [Objective] A newly recorded orchid species, Gastrodia exilis Hook.f., was spotted from Yunnan Province, China, and its main characters were compared with its morphologically close relatives G. menghaiensis Z.H. Tsi & S.C. Chen, G. putaoen
Externí odkaz:
https://doaj.org/article/86e9d71bcc694b6eae98939210e2b7fd
Image steganography is a technique to conceal secret messages within digital images. Steganalysis, on the contrary, aims to detect the presence of secret messages within images. Recently, deep-learning-based steganalysis methods have achieved excelle
Externí odkaz:
http://arxiv.org/abs/2409.04968
The multilayer perceptron (MLP), a fundamental paradigm in current artificial intelligence, is widely applied in fields such as computer vision and natural language processing. However, the recently proposed Kolmogorov-Arnold Network (KAN), based on
Externí odkaz:
http://arxiv.org/abs/2408.08338
Autor:
Zhang, Cong, Tian, Chi, Han, Tianfang, Li, Hang, Feng, Yiheng, Chen, Yunfeng, Proctor, Robert W., Zhang, Jiansong
Smart intersections have the potential to improve road safety with sensing, communication, and edge computing technologies. Perception sensors installed at a smart intersection can monitor the traffic environment in real time and send infrastructure-
Externí odkaz:
http://arxiv.org/abs/2312.03891
In recent years, self-supervised contrastive learning has emerged as a distinguished paradigm in the artificial intelligence landscape. It facilitates unsupervised feature learning through contrastive delineations at the instance level. However, craf
Externí odkaz:
http://arxiv.org/abs/2311.09974
Autor:
Qi, Shipeng, Lin, Heng, Guo, Zhihui, Szárnyas, Gábor, Tong, Bing, Zhou, Yan, Yang, Bin, Zhang, Jiansong, Wang, Zheng, Shen, Youren, Wang, Changyuan, Peiravi, Parviz, Gabb, Henry, Steer, Ben
The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) is a new effort that defines a graph database benchmark targeting financial scenarios such as anti-fraud and risk control. The benchmark has one workload, the Transaction Workloa
Externí odkaz:
http://arxiv.org/abs/2306.15975
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Autor:
Zhang, Yifu, Li, Hongru, Yang, Tao, Tao, Rui, Liu, Zhengyuan, Shi, Shimeng, Zhang, Jiansong, Ma, Ning, Feng, Wujin, Zhang, Zhanhu, Zhang, Xinyu
Lesion segmentation of ultrasound medical images based on deep learning techniques is a widely used method for diagnosing diseases. Although there is a large amount of ultrasound image data in medical centers and other places, labeled ultrasound data
Externí odkaz:
http://arxiv.org/abs/2305.19069
Transfer learning leverages knowledge from other domains and has been successful in many applications. Transfer learning methods rely on the overall similarity of the source and target domains. However, in some cases, it is impossible to provide an o
Externí odkaz:
http://arxiv.org/abs/2305.19067
In this paper, a decoupled characteristic Galerkin finite element procedure is provided for simulating growth-mediated autochemotactic pattern formation in self-propelling bacteria. In this procedure, a modified characteristic Galerkin method is esta
Externí odkaz:
http://arxiv.org/abs/2209.01736
Wormhole propagation plays a very important role in the product enhancement of oil and gas reservoir. A new combined hybrid mixed finite element method is proposed to solve incompressible wormhole propagation problem with discontinuous Galerkin finit
Externí odkaz:
http://arxiv.org/abs/2209.01528