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LV-YOLO: logistic vehicle speed detection and counting using deep learning based YOLO network
In the era of smart cities and advancing transportation technologies, predicting logistic vehicle and vehicle speed is pivotal to enhancing traffic...
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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,...
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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...
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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...
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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...
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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,...
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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,...
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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...
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The effect of interactive tutorial information and purpose built virtual chemistry laboratory on students’ performance
Different Virtual Chemistry Laboratories (VCLs) have been developed where users can perform their experimental work to increase their learning for...
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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....
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Using synthetic camera poses for camera calibration in soccer videos
Camera calibration is the process of estimating the parameters that describe the viewpoint of a camera. These parameters allow the map** of points...
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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....
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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...
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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...
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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)...
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Simultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework
Noninvasive, accurate, and simultaneous grading of liver fibrosis, inflammation, and steatosis is valuable for reversing the progression and...
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Hop**-mean: an augmentation method for motor activity data towards real-time depression diagnosis using machine learning
The advances from the last few decades in the fields of ML (Machine Learning), DL (Deep Learning), and semantic computing are now changing the shape...
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A combined non-convex TVp and wavelet \(\ell _1\)-norm approach for image deblurring via split Bregman method
Image deblurring is one of the most fundamental problems in the image processing and computer vision fields. The methods based on total variation are...
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A full-detection association tracker with confidence optimization for real-time multi-object tracking
Multi-object tracking (MOT) aims to obtain trajectories with unique identifiers for multiple objects in a video stream. In current approaches,...
