Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DDS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
[HTML][HTML] Review on facial-recognition-based applications in disease diagnosis
J Qiang, D Wu, H Du, H Zhu, S Chen, H Pan - Bioengineering, 2022 - mdpi.com
Diseases not only manifest as internal structural and functional abnormalities, but also have
facial characteristics and appearance deformities. Specific facial phenotypes are potential …
facial characteristics and appearance deformities. Specific facial phenotypes are potential …
AI-based self-service technology in public service delivery: User experience and influencing factors
Public sectors are utilizing AI-based self-service technology (SST) at an accelerating rate,
given its potential for improving work efficiency and user experience, reducing service costs …
given its potential for improving work efficiency and user experience, reducing service costs …
Deep fair models for complex data: Graphs labeling and explainable face recognition
The central goal of Algorithmic Fairness is to develop AI-based systems which do not
discriminate subgroups in the population with respect to one or multiple notions of inequity …
discriminate subgroups in the population with respect to one or multiple notions of inequity …
[HTML][HTML] Toward learning trustworthily from data combining privacy, fairness, and explainability: an application to face recognition
In many decision-making scenarios, ranging from recreational activities to healthcare and
policing, the use of artificial intelligence coupled with the ability to learn from historical data …
policing, the use of artificial intelligence coupled with the ability to learn from historical data …
Fairface challenge at eccv 2020: Analyzing bias in face recognition
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and
Analysis Challenge and provides a description of the top-winning solutions and analysis of …
Analysis Challenge and provides a description of the top-winning solutions and analysis of …
A face recognition software framework based on principal component analysis
P Peng, I Portugal, P Alencar, D Cowan - Plos one, 2021 - journals.plos.org
Face recognition, as one of the major biometrics identification methods, has been applied in
different fields involving economics, military, e-commerce, and security. Its touchless …
different fields involving economics, military, e-commerce, and security. Its touchless …
Policing based on automatic facial recognition
Z Guo, L Kennedy - Artificial Intelligence and Law, 2023 - Springer
Advances in technology have transformed and expanded the ways in which policing is run.
One new manifestation is the mass acquisition and processing of private facial images via …
One new manifestation is the mass acquisition and processing of private facial images via …
Can trust in government help to enhance Indonesian citizens' involvement in Al-based public service?
R Mulyawan - Journal of Entrepreneurship and Public Policy, 2024 - emerald.com
Purpose Given its ability to improve user interaction and labor productivity, ease human
workloads and cut maintenance costs, public sectors are using AI-based robotic technology …
workloads and cut maintenance costs, public sectors are using AI-based robotic technology …
An efficient face recognition approach combining likelihood-based sufficient dimension reduction and LDA
A Benouareth - Multimedia Tools and Applications, 2021 - Springer
In this paper, an efficient approach is proposed for face recognition (FR) under pose and
illumination variations. It is based on combining likelihood-based sufficient dimension …
illumination variations. It is based on combining likelihood-based sufficient dimension …