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 …
Privacy and security concerns in generative AI: a comprehensive survey
Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …
domains, including machine learning, healthcare, business, and entertainment, owing to its …
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 …
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 …
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 …
Improved multiview biometric object detection for anti spoofing frauds
P Asmitha, C Rupa, S Nikitha, J Hemalatha… - Multimedia Tools and …, 2024 - Springer
Computer vision and deep learning are essential in human authentication. It provides
answers to numerous issues faced in the real world. Moreover, it has a great potential in …
answers to numerous issues faced in the real world. Moreover, it has a great potential in …
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 …
Image recognition based on lightweight convolutional neural network: Recent advances
Y Liu, J Xue, D Li, W Zhang, TK Chiew, Z Xu - Image and Vision Computing, 2024 - Elsevier
Image recognition is an important task in computer vision with broad applications. In recent
years, with the advent of deep learning, lightweight convolutional neural network (CNN) has …
years, with the advent of deep learning, lightweight convolutional neural network (CNN) has …