Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Shanshan, Tu"'
Autor:
Tianqi Peng, Bei Gong, Shanshan Tu, Abdallah Namoun, Sami Alshmrany, Muhammad Waqas, Hisham Alasmary, Sheng Chen
Publikováno v:
Sensors, Vol 24, Iss 23, p 7597 (2024)
In the cloud-assisted industrial Internet of Things (IIoT), since the cloud server is not always trusted, the leakage of data privacy becomes a critical problem. Dynamic symmetric searchable encryption (DSSE) allows for the secure retrieval of outsou
Externí odkaz:
https://doaj.org/article/5c3ac5815b0e4ab497934c7434991eba
Autor:
Muhammad Dawood, Chunagbai Xiao, Shanshan Tu, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Muhammad Farhan
Publikováno v:
PeerJ Computer Science, Vol 10, p e2027 (2024)
This article explores detecting and categorizing network traffic data using machine-learning (ML) methods, specifically focusing on the Domain Name Server (DNS) protocol. DNS has long been susceptible to various security flaws, frequently exploited o
Externí odkaz:
https://doaj.org/article/c42929799a264c9e9c8b5025477a1b44
An Efficient Pairing-Free Ciphertext-Policy Attribute-Based Encryption Scheme for Internet of Things
Publikováno v:
Sensors, Vol 24, Iss 21, p 6843 (2024)
The Internet of Things (IoT) is a heterogeneous network composed of numerous dynamically connected devices. While it brings convenience, the IoT also faces serious challenges in data security. Ciphertext-policy attribute-based encryption (CP-ABE) is
Externí odkaz:
https://doaj.org/article/4ac5f464d27d44c694ffc425141ee900
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract Emotion identification from text data has recently gained focus of the research community. This has multiple utilities in an assortment of domains. Many times, the original text is written in a different language and the end-user translates
Externí odkaz:
https://doaj.org/article/0b5935b05cfd4a85b38dc873d2449503
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Glioma is the most aggressive and dangerous primary brain tumor with a survival time of less than 14 months. Segmentation of tumors is a necessary task in the image processing of the gliomas and is important for its timely diagnosis and star
Externí odkaz:
https://doaj.org/article/fd90cb670cce4fd5aafa9d67cc49dc58
Publikováno v:
SN Applied Sciences, Vol 4, Iss 4, Pp 1-11 (2022)
Abstract Glaucoma is one of the prevalent causes of blindness in the modern world. It is a salient chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can be restricted if it is identified at primary stages. In thi
Externí odkaz:
https://doaj.org/article/23e44e383cb2499a82bb7214ac455112
Autor:
Muhammad Dawood, Shanshan Tu, Chuangbai Xiao, Hisham Alasmary, Muhammad Waqas, Sadaqat Ur Rehman
Publikováno v:
Symmetry, Vol 15, Iss 11, p 1981 (2023)
Cloud computing is an innovative technique that offers shared resources for stock cache and server management. Cloud computing saves time and monitoring costs for any organization and turns technological solutions for large-scale systems into server-
Externí odkaz:
https://doaj.org/article/3655a089a007430a8832e67f570a3a1a
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11269 (2023)
Fog computing accredits by utilizing the network edge while still rendering the possibility to interact with the cloud. Nevertheless, the features of fog computing are encountering several security challenges. The security of end users and/or fog ser
Externí odkaz:
https://doaj.org/article/0e84982caa964c1598a49fed9c224ebb
Autor:
Israr Ud Din, Shanshan Tu, Pei Hao, Stéphane Panier, Kamran Ahmed Khan, Rehan Umer, S.Z.H. Shah, Gérald Franz, Muhammad Aamir
Publikováno v:
Journal of Materials Research and Technology, Vol 9, Iss 6, Pp 13352-13364 (2020)
This work presents the application of both uniaxial and bi-axial in-plane loads to unidirectional carbon fiber reinforced polymer laminates using a newly developed Arcan fixture, which is a reliable experimental set-up to obtain a uniform shear stres
Externí odkaz:
https://doaj.org/article/e9b15a960014466a8c50b8f5d2cbe354
Autor:
Shanshan Tu, Sadaqat urRehman, Muhammad Waqas, Obaid ur Rehman, Zhongliang Yang, Basharat Ahmad, Zahid Halim, Wei Zhao
Publikováno v:
IET Computer Vision, Vol 14, Iss 5, Pp 259-267 (2020)
Training of the convolution neural network (CNN) is a problem of global optimisation. This study proposed a hybrid modified particle swarm optimisation (MPSO) and conjugate gradient (CG) algorithm for efficient training of CNN. The training involves
Externí odkaz:
https://doaj.org/article/db6735c015934501b2b9289337d46305