[PDF][PDF] Survey on neural network architectures with deep learning
S Smys, JIZ Chen, S Shakya - Journal of Soft Computing Paradigm …, 2020 - academia.edu
In the present research era, machine learning is an important and unavoidable zone where
it provides better solutions to various domains. In particular deep learning is one of the cost …
it provides better solutions to various domains. In particular deep learning is one of the cost …
[HTML][HTML] Optimum feature selection with particle swarm optimization to face recognition system using Gabor wavelet transform and deep learning
S Ahmed, M Frikha, TDH Hussein… - BioMed Research …, 2021 - ncbi.nlm.nih.gov
In this study, Gabor wavelet transform on the strength of deep learning which is a new
approach for the symmetry face database is presented. A proposed face recognition system …
approach for the symmetry face database is presented. A proposed face recognition system …
Deep face recognition for dim images
YH Huang, HH Chen - Pattern Recognition, 2022 - Elsevier
The performance of many state-of-the-art deep face recognition models deteriorates
significantly for images captured under low illumination, mainly because the features of dim …
significantly for images captured under low illumination, mainly because the features of dim …
Deep learning-based face detection and recognition on drones
Unmanned aerial vehicles as known as drones, are aircraft that can comfortably search
locations which are excessively dangerous or difficult for humans and take data from bird's …
locations which are excessively dangerous or difficult for humans and take data from bird's …
Wiimg: Pushing the limit of wifi sensing with low transmission rates
WiFi has achieved great success in data communication in the past two decades and WiFi
signals are recently further exploited for sensing purposes. Promising progress has been …
signals are recently further exploited for sensing purposes. Promising progress has been …
[HTML][HTML] Automating attendance management in human resources: A design science approach using computer vision and facial recognition
BT Nguyen-Tat, MQ Bui, VM Ngo - International Journal of Information …, 2024 - Elsevier
Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for
detecting objects in images and videos. Unlike Deep Learning algorithms, which typically …
detecting objects in images and videos. Unlike Deep Learning algorithms, which typically …
[HTML][HTML] Face recognition algorithm based on particle swarm optimization and image feature compensation
Y Zhang, L Yan - SoftwareX, 2023 - Elsevier
In order to improve face recognition accuracy, an IFC face recognition algorithm based on
image feature compensation strategy for face recognition is proposed in this paper. The …
image feature compensation strategy for face recognition is proposed in this paper. The …
Application of face recognition method under deep learning algorithm in embedded systems
X Lv, M Su, Z Wang - Microprocessors and Microsystems, 2021 - Elsevier
Abstract The Convolutional Neural Network (CNN) based on deep learning is introduced to
propose two deep face detection algorithms and design an embedded face recognition …
propose two deep face detection algorithms and design an embedded face recognition …
A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions
Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …
involves the automatic extraction of features and patterns from images and videos. The …
MDFA-Net: Multiscale dual-path feature aggregation network for cardiac segmentation on multi-sequence cardiac MR
F Li, W Li, S Qin, L Wang - Knowledge-Based Systems, 2021 - Elsevier
Deep convolutional neural networks have shown great potential in medical image
segmentation. However, automatic cardiac segmentation is still challenging due to the …
segmentation. However, automatic cardiac segmentation is still challenging due to the …