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Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
Variational level set method has become a powerful tool in image segmentation due to its ability to handle complex topological changes and maintain...
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YOLO-FGD: a fast lightweight PCB defect method based on FasterNet and the Gather-and-Distribute mechanism
With the rapid expansion of the electronics industry, the demand for high-quality printed circuit boards has surged. However, existing PCB defect...
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Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification
The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not...
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Delineation of ECG waveform components using encoder-decoder architecture with Postprocess algorithm
With the exponential increase in heart disease cases, it is essential to construct models (algorithms) that can be used to delineate...
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Energy efficient dynamic resource allocation in C-RAN using tunicate swarm and whale optimization algorithm
In Cloud radio access network (C-RAN) architecture, the signals are processed through cloud-computing method where the baseband units (BBUs) of all...
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Attention-enhanced UNet and gradient boosting decision tree for objective evaluation of fabric pilling grade based on image analysis
Fabric pilling can significantly affect the usability and appearance of fabrics; making the evaluation of pilling grades a crucial aspect of textile...
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A semi-supervised video dehazing method based on CNNs
Recently, image dehazing methods based on deep learning have achieved good results, but most of them are aimed at synthetic hazy images that have...
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Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
Real-world face recognition systems are vulnerable to diverse face attacks, ranging from digitally manipulated artifacts to physically crafted...
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Spatial resolution measurement method for 3D displays from contrast modulation
Augmented Reality 3D head-up displays use a autostereoscopic 3D display as a panel. The 3D optical unit of autostereoscopic 3D displays controls the...
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Ant Colony Optimization for solving Directed Chinese Postman Problem
The Chinese Postman Problem (CPP) is a well-known optimization problem involving determining the shortest route, modeling the system as an undirected...
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Lyapunov-guided representation of recurrent neural network performance
Recurrent neural networks (RNN) are ubiquitous computing systems for sequences and multivariate time-series data. While several robust RNN...
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A novel approach to detect, analyze and block adversarial web pages
The phenomenon of distraction is very common, and its adverse effects are seen among people. The major cause underlying this issue is the ease with...
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PEFormer: a pixel-level enhanced CNN-transformer hybrid network for face image super-resolution
In recent years, the rapid development of deep learning technologies has advanced the field of Face Super-Resolution (FSR), particularly with the...
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Detecting review fraud using metaheuristic graph neural networks
Although online reviews play a critical role in sha** consumer behavior and establishing institutional trust, this reliance on online reviews has...
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Analysis of channel capacity for UWB antenna for improvements in the data rates and low Power transmission over wireless application
Multiple input- Multiple output- Ultra-wideband (MIMO-UWB) is a wireless communication approach that combines multiple antennas at the transmitter...
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A study of falling behavior recognition of the elderly based on deep learning
The current computer vision-based elderly falling behavior recognition algorithm mainly uses target detection followed by behavior recognition for a...
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Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual...
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Analysis of MR–VR tele-operation methods for legged-manipulator robots
The development of immersive technologies in recent years has facilitated the control and execution of tasks at a high level of complexity in robotic...