Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Hybrid transfer learning and broad learning system for wearing mask detection in the COVID-19 era
B Wang, Y Zhao, CLP Chen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the era of Corona Virus Disease 2019 (COVID-19), wearing a mask can effectively protect
people from infection risk and largely decrease the spread in public places, such as …
people from infection risk and largely decrease the spread in public places, such as …
Hardware accelerators for real-time face recognition: A survey
A Baobaid, M Meribout, VK Tiwari, JP Pena - IEEE Access, 2022 - ieeexplore.ieee.org
Real-time face recognition has been of great interest in the last decade due to its wide and
varied critical applications which include biometrics, security in public places, and …
varied critical applications which include biometrics, security in public places, and …
Online student authentication and proctoring system based on multimodal biometrics technology
M Labayen, R Vea, J Flórez, N Aginako, B Sierra - IEEE Access, 2021 - ieeexplore.ieee.org
Identity verification and proctoring of online students are one of the key challenges to online
learning today. Especially for online certification and accreditation, the training organizations …
learning today. Especially for online certification and accreditation, the training organizations …
Research on microvideo character perception and recognition based on target detection technology
Y Lei - journal of Computational and Cognitive Engineering, 2022 - ojs.bonviewpress.com
With the rapid development of the Internet short-video platform, microvideo is increasingly
attracting users because of its small traffic and time period. However, the content of …
attracting users because of its small traffic and time period. However, the content of …
IPM-Model: AI and metaheuristic-enabled face recognition using image partial matching for multimedia forensics investigation with genetic algorithm
The rapid enhancement in the development of information technology has driven the
development of human facial image recognition. Recently, facial recognition has been …
development of human facial image recognition. Recently, facial recognition has been …
Exploring factors of the willingness to accept AI-assisted learning environments: an empirical investigation based on the UTAUT model and perceived risk theory
W Wu, B Zhang, S Li, H Liu - Frontiers in Psychology, 2022 - frontiersin.org
Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted
learning environments have been implemented in classrooms to facilitate the innovation of …
learning environments have been implemented in classrooms to facilitate the innovation of …
Single sample face recognition using deep learning: a survey
Face recognition has become popular in the last few decades among researchers across
the globe due to its applicability in several domains. This problem becomes more …
the globe due to its applicability in several domains. This problem becomes more …
Development of an improved convolutional neural network for an automated face based university attendance system
Because of the flaws of the present university attendance system, which has always been
time intensive, not accurate, and a hard process to follow. It, therefore, becomes imperative …
time intensive, not accurate, and a hard process to follow. It, therefore, becomes imperative …
Development of Pose Invariant Face Recognition Method Based on Pca and Artificial Neural Network.
KKS Liyakat, VA Mane, KP Paradeshi… - Journal of Algebraic …, 2022 - publishoa.com
This paper considers human face for pose invariant face recognition as a biometric
parameter. There are lots of methods proposed for the face recognition. Face recognition by …
parameter. There are lots of methods proposed for the face recognition. Face recognition by …