Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Kun She"'
Publikováno v:
Electronic Research Archive, Vol 32, Iss 4, Pp 2267-2285 (2024)
Nowadays, advancements in facial recognition technology necessitate robust solutions to address challenges in real-world scenarios, including lighting variations and facial position discrepancies. We introduce a novel deep neural network framework th
Externí odkaz:
https://doaj.org/article/e6581bac6cda405190e71be1e5a97143
Autor:
Muhammad Ahmad Nawaz Ul Ghani, Kun She, Muhammad Arslan Rauf, Shumaila Khan, Masoud Alajmi, Yazeed Yasin Ghadi, Hend Khalid Alkahtani
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 4165-4186 (2024)
In recent years, the extensive use of facial recognition technology has raised concerns about data privacy and security for various applications, such as improving security and streamlining attendance systems and smartphone access. In this study, a b
Externí odkaz:
https://doaj.org/article/209676fa81f544249ec36464964ca30e
Autor:
Muhammad Ahmad Nawaz Ul Ghani, Kun She, Muhammad Arslan Rauf, Masoud Alajmi, Yazeed Yasin Ghadi, Abdulmohsen Algarni
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102036- (2024)
In recent years, facial recognition technology has become increasingly integrated into society, making privacy protection crucial. Previous techniques offered minimal secrecy safeguards through simple obscuration methods. This paper addresses the str
Externí odkaz:
https://doaj.org/article/aa1347e2ad3741b8bdf26b47f1b278c9
Publikováno v:
Materials, Vol 17, Iss 7, p 1580 (2024)
The accurate online detection of laser welding penetration depth has been a critical problem to which the industry has paid the most attention. Aiming at the laser welding process of TC4 titanium alloy, a multi-sensor monitoring system that obtained
Externí odkaz:
https://doaj.org/article/d1638fae772d46ac821373fca43fd6d6
Autor:
Zhengyi Yao, Liang Tan, Junhao Yi, Luxia Fu, Zhuang Zhang, Xinghong Tan, Jingxue Xie, Kun She, Peng Yang, Wanjing Wu, Danlian Ye, Ziyuan Yu
Publikováno v:
Symmetry, Vol 16, Iss 1, p 68 (2024)
An intelligent logistics system is a production system based on the Internet of Things (IoT), and the logistics information of humans has a high degree of privacy. However, the current intelligent logistics system only protects the privacy of shipper
Externí odkaz:
https://doaj.org/article/9243b57011844881a706552d88b44e6f
Autor:
Jinping Liu, Baoping Xu, Yingchao Feng, Peng Chen, Cancan Yan, Zhuyuan Li, Kaisong Yang, Kun She, Yiming Huang
Publikováno v:
Materials, Vol 16, Iss 14, p 4989 (2023)
As an advanced connection technology for large thick-walled components, narrow gap laser welding has the advantages of small heat input and high efficiency and quality. However, porosity defects are prone to occur inside the weld due to the complex w
Externí odkaz:
https://doaj.org/article/4de55bf8dd4d4d96b06273efa08c18d8
Publikováno v:
Information, Vol 14, Iss 5, p 270 (2023)
Requirement traceability links are an essential part of requirement management software and are a basic prerequisite for software artifact changes. The manual establishment of requirement traceability links is time-consuming. When faced with large pr
Externí odkaz:
https://doaj.org/article/fb3c49229c5f45b6869c35b158baf949
Publikováno v:
IEEE Access, Vol 9, Pp 141536-141543 (2021)
This paper focuses on the asymptotic stability (AS) problem of the delay dynamical system (DDS). An improved delay-product-type functional (DPTF) strategy is applied to construct a more general Lyapunov-Krasovskii functional (LKF). This method introd
Externí odkaz:
https://doaj.org/article/859f67991810465fade605a6c486d29d
Publikováno v:
Sensors, Vol 22, Iss 12, p 4607 (2022)
A smart sensor is a sensor with information processing functions. It is the product of the combination of sensor integration and a microprocessor. It has the characteristics of intelligence, networking and high precision. It has been widely used in a
Externí odkaz:
https://doaj.org/article/d54c1e5c285849e48c6eb86473e94894
Autor:
Patamia, Rutherford Agbeshi, Santos, Paulo E., Acheampong, Kingsley Nketia, Ekong, Favour, Sarpong, Kwabena, Kun, She
Emotion recognition is a topic of significant interest in assistive robotics due to the need to equip robots with the ability to comprehend human behavior, facilitating their effective interaction in our society. Consequently, efficient and dependabl
Externí odkaz:
http://arxiv.org/abs/2312.01568
