Results 81 to 90 of about 18,617 (276)
Artificial Intelligence for Engineering, EarlyView.An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu +4 more
wiley +1 more source
Advanced deepfake detection leveraging swin transformer technology [PDF]
The widespread use of deepfake technology in recent years has made it extremely difficult to differentiate between real and fake images, usually AI-generated images.
Edalatpanah, Seyed Ahmad +3 more
core +2 more sources
A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification [PDF]
, 2023 Han Wang +6 more
openalex +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source
Secure pulmonary diagnosis using transformer-based approach to x-ray classification with KL divergence optimization [PDF]
Lung disease classification plays a significant part in the early discovery and diagnosis of respiratory conditions. This paper proposes a novel approach for lung disease classification utilizing two advanced deep learning models, MedViT and Swin ...
Alam, Shadab +4 more
core +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
Residual swin transformer for classifying the types of cotton pests in complex background
Frontiers in Plant ScienceBackgroundCotton pests have a major impact on cotton quality and yield during cotton production and cultivation. With the rapid development of agricultural intelligence, the accurate classification of cotton pests is a key factor in realizing the precise
Ting Zhang +9 more
doaj +1 more source
FMTNet: A Fourier‐Mamba–Transformer Enhanced Network for Medical Image Segmentation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Models based on U‐shaped networks have achieved widespread success in the field of medical image segmentation, but their performance is generally limited by structural bottlenecks in the network. At this stage, feature maps experience a sharp decline in spatial resolution due to continuous downsampling, resulting in significant loss of ...
Shaoqiang Wang +7 more
wiley +1 more source
Leadership for innovation – why manufacturing has a future in Australia [PDF]
In this paper, business leaders discuss the leadership styles they have used to ensure their companies are manufacturing success stories, and then these experiences are analysed to outline the leadership needs for innovation in Australia.
Richard Simpson +2 more
core