Search
Search Results
-
A method for recognizing facial expression intensity based on facial muscle variations
Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...
-
Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks
Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...
-
Dual strategy for single image denoising and generation using deep neural network
Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...
-
Research on a quantification model of online learning cognitive load based on eye-tracking technology
Online learning is characterized by a high degree of complexity and a wealth of information when compared to traditional classroom learning. This can...
-
A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning
The prevalence of road traffic collisions is a pressing issue both worldwide and within the United States. The consequences of these incidents are...
-
eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals
Myocardial infarction (MI) and cardiac arrhythmias remain leading causes of mortality within cardiovascular diseases. Accurate and timely diagnosis...
-
Designing interactive, gamified learning environments: a methodological approach with a case study on statistical quality control
Statistical Quality Control is a subject present in many engineering degrees. Literature identifies shortcomings in the application of Statistical...
-
Advancing lung cancer diagnosis with bio-inspired algorithms: a comprehensive assessment
Lung cancer is a prevalent and deadly disease with a high global incidence rate. For efficient treatment with a positive prognosis for patients,...
-
Research on gesture segmentation method based on FCN combined with CBAM-ResNet50
As a key step of gesture recognition, gesture segmentation can effectively reduce the impact of complex backgrounds on recognition results and...
-
3D Reconstruction of flame temperature field based on lightweight residual network with spatial attention mechanism
Flame temperature field measurement has always been a key topic in combustion research, which is of great significance for combustion state diagnosis...
-
Reduction of the noise effects in phase images using a motorized dual-wavelength quantitative phase microscope
This article introduces a novel method that leads to the reduction of noise effects and improvement in the quality of phase image acquisition in...
-
Audio Transmission Based on Hybrid Crypto-steganography Framework for Efficient Cyber Security in Wireless Communication System
Wireless systems enable people in last decades to communicate and access applications and information without wires, which provided better image,...
-
Adaptive shift graph convolutional neural network for hand gesture recognition based on 3D skeletal similarity
Graph convolutional neural networks (GCNs) have shown promising results in the field of hand gesture recognition based on 3D skeletal data. However,...
-
M2AST:MLP-mixer-based adaptive spatial-temporal graph learning for human motion prediction
Human motion prediction is a challenging task in human-centric computer vision, involving forecasting future poses based on historical sequences....
-
Lightweight model for small target detection of SAR images of ships based on NWD loss
Synthetic Aperture Radar (SAR) has the advantages of all-weather and high resolution, and is an effective tool for ship monitoring. SAR image ship...
-
DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography
Automatic segmentation of 3D coronary arteries from computed tomography angiography (CTA) is an indispensable part of accurate and efficient coronary...
-
Image inpainting based on tensor ring decomposition with generative adversarial network
Image inpainting is a fundamental task in the field of computer vision. However, there are three major challenges associated with this technique: (1)...
-
MDEANet: modified detail-enhanced convolution and attention-based network for dehazing of remote sensing images
Image de-hazing aims to improve quality and restore clarity of hazy images. When airborne particles like dust and smoke absorb light, it can result...
-
QuMIN: quantum multi-modal data fusion for humor detection
Humour detection has attracted considerable attention due to its significance in interpreting dialogues across text, visual, and acoustic modalities....
