Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Zhangquan Wang"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 4, Pp 973-988 (2024)
The malicious mining pool can sacrifice part of its revenue to employ the computing power of blockchain network. The employed computing power carries out the pool mining attacks on the attacked mining pool. To realize the win-win game between the mal
Externí odkaz:
https://doaj.org/article/47f7ff64f62e4b53b0a746011052a14b
Autor:
Guanliang Dong, Zhangquan Wang, Yourong Chen, Yuliang Sun, Hongbo Song, Liyuan Liu, Haidong Cui
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This paper introduces the efficient medical-images-aimed segment anything model (EMedSAM), addressing the high computational demands and limited adaptability of using SAM for medical image segmentation tasks. We present a novel, compact imag
Externí odkaz:
https://doaj.org/article/dc465e8c35c644c0a1c4104eb87f2d97
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract As one of the significant challenges to human health, cancer has long been a focal point in medical treatment. With ongoing advancements in the field of medicine, numerous methodologies for cancer therapy have emerged, among which oncolytic
Externí odkaz:
https://doaj.org/article/104cd73315174c51aa204a17240dbb50
Publikováno v:
Mathematics, Vol 12, Iss 1, p 43 (2023)
In a class of large-scale distributed optimization, the calculation of RELM based on the Moore–Penrose inverse matrix is prohibitively expensive, which hinders the formulation of a computationally efficient optimization model. Attempting to improve
Externí odkaz:
https://doaj.org/article/b6d208c278d2486dae3db23c68f7d43c
Publikováno v:
Mathematics, Vol 11, Iss 14, p 3198 (2023)
One of the significant features of extreme learning machines (ELMs) is their fast convergence. However, in the big data environment, the ELM based on the Moore–Penrose matrix inverse still suffers from excessive calculation loads. Leveraging the de
Externí odkaz:
https://doaj.org/article/f7587977b9b24811976517c7dd7c88a7
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-28 (2021)
Abstract In order to improve the revenue of attacking mining pools and miners under block withholding attack, we propose the miner revenue optimization algorithm (MROA) based on Pareto artificial bee colony in blockchain network. MROA establishes the
Externí odkaz:
https://doaj.org/article/e43d38ace3ed4987abab18aee9434b10
Autor:
Banteng Liu, Yourong Chen, Jinhao Wan, Ping Sun, Zhangquan Wang, Tiaojuan Ren, Zegao Yin, Rengong Zhang
Publikováno v:
IEEE Access, Vol 8, Pp 214978-214991 (2020)
Considering the movement of a sink node in this study to solve the data transmission problem of sensor nodes in a 3D network environment, we propose a Data Collection Algorithm of a 3D wireless sensor network (DCA_3D) that weighs node coverage rate a
Externí odkaz:
https://doaj.org/article/e566e957e90c4b84be7c4c154884a298
Publikováno v:
Sensors, Vol 23, Iss 3, p 1554 (2023)
Currently, a significant focus has been established on the privacy protection of multi-dimensional data publishing in various application scenarios, such as scientific research and policy-making. The K-anonymity mechanism based on clustering is the m
Externí odkaz:
https://doaj.org/article/2001c3c10add4eb391527edd054939d4
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
Time series have broad usage in the wireless Internet of Things. This article proposes a nonlinear time series prediction algorithm based on the Small-World Scale-Free Network after the AIC-Optimized Subtractive Clustering Algorithm (AIC-DSCA-SSNET,
Externí odkaz:
https://doaj.org/article/ed2b27af53fb44cca88c31ed7ccc2431
Publikováno v:
Sensors, Vol 22, Iss 6, p 2212 (2022)
Recommender systems help users filter items they may be interested in from massive multimedia content to alleviate information overload. Collaborative filtering-based models perform recommendation relying on users’ historical interactions, which me
Externí odkaz:
https://doaj.org/article/84dbd5f8b3444423a6e4e9604db07f0e