Convolutional neural networks: A survey
M Krichen - Computers, 2023 - mdpi.com
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …
Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
Optimized efficient attention-based network for facial expressions analysis in neurological health care
Abstract Facial Expression Analysis (FEA) plays a vital role in diagnosing and treating early-
stage neurological disorders (NDs) like Alzheimer's and Parkinson's. Manual FEA is …
stage neurological disorders (NDs) like Alzheimer's and Parkinson's. Manual FEA is …
FPANet: feature pyramid attention network for crowd counting
Crowd counting in congested scenarios is an essential yet challenging task in detecting
abnormal crowd for contemporary urban planning. The counting accuracy has been …
abnormal crowd for contemporary urban planning. The counting accuracy has been …
Learning fusion feature representation for garbage image classification model in human–robot interaction
Garbage image classification often suffers from three aspect challenges: complex image
background, same-shape category, and low-quality image. The existing machine vision …
background, same-shape category, and low-quality image. The existing machine vision …
[HTML][HTML] k-NN attention-based video vision transformer for action recognition
Action Recognition aims to understand human behavior and predict a label for each action.
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …
A multichannel location-aware interaction network for visual classification
Fine-grained visual classification aims to identify images that belong to multiple
subcategories within the same category. This is a challenging task as there are only subtle …
subcategories within the same category. This is a challenging task as there are only subtle …
Influence of online STEAM hands-on learning on AI learning, creativity, and creative emotions
YS Chang, YY Wang, YT Ku - Interactive Learning Environments, 2024 - Taylor & Francis
Given the importance of innovation, artificial intelligence (AI) education, and online learning
during the COVID-19 pandemic, we explored the effects of science, technology …
during the COVID-19 pandemic, we explored the effects of science, technology …
IST-TransNet: Infrared small target detection based on transformer network
C Li, Z Huang, X **e, W Li - Infrared Physics & Technology, 2023 - Elsevier
Infrared small target detection (ISTD) technology plays an important role in air defense early
warning systems, earth observation and military reconnaissance. However, ISTD faces …
warning systems, earth observation and military reconnaissance. However, ISTD faces …
AC-YOLO: Multi-category and high-precision detection model for stored grain pests based on integrated multiple attention mechanisms
C Zhao, C Bai, L Yan, H **ong, D Suthisut… - Expert Systems with …, 2024 - Elsevier
The existing detection models for stored grain pests have low accuracy and poor
generalization ability in fine-grained detection tasks involving numerous species, minor inter …
generalization ability in fine-grained detection tasks involving numerous species, minor inter …