Jingming Xie
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View article: Feasibility and Accuracy of CBCT-MRI Image Matching for Daily Positioning in MRI-Only Pelvic Radiotherapy
Feasibility and Accuracy of CBCT-MRI Image Matching for Daily Positioning in MRI-Only Pelvic Radiotherapy Open
View article: Tracking neural activity patterns during rapid high-altitude transitions
Tracking neural activity patterns during rapid high-altitude transitions Open
Rapid adaptation to dynamic changes in the environment is critical for human survival. Extensive studies have observed human behavior and brain activity in a stable environment, but there is still a lack of understanding of how our brain's…
View article: A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions
A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions Open
Multivariate time series anomaly detection (MTSAD) can effectively identify and analyze anomalous behavior in complex systems, which is particularly important in fields such as financial monitoring, industrial equipment fault detection, an…
View article: DP-FWCA: A Prompt-Enhanced Model for Named Entity Recognition in Educational Domains
DP-FWCA: A Prompt-Enhanced Model for Named Entity Recognition in Educational Domains Open
The digital transformation in education has spurred a rapid expansion of academic literature, pedagogical resources, and institutional knowledge, intensifying the demand for efficient automated information extraction. However, the inherent…
View article: A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving Open
Depth completion is a crucial task in autonomous driving, aiming to convert a sparse depth map into a dense depth prediction. Due to its potentially rich semantic information, RGB image is commonly fused to enhance the completion effect. I…
View article: A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration Open
Fisheye lens, which is suitable for panoramic imaging, has the prominent advantage of a large field of view and low cost. However, the fisheye image has a severe geometric distortion which may interfere with the stage of image registration…
View article: Research on the Practical Path of Collaborative Innovation Talent Training in Supply-Side Applied Undergraduate Colleges
Research on the Practical Path of Collaborative Innovation Talent Training in Supply-Side Applied Undergraduate Colleges Open
The cultivation of supply-side collaborative innovation talents mainly focuses on four elements: labor, capital, technology, and system. The improvement of these four elements is essentially a long-term process, which determines the potent…
View article: Artificial Intelligence Education in Primary and Secondary Schools from the Perspective of Thinking Quality
Artificial Intelligence Education in Primary and Secondary Schools from the Perspective of Thinking Quality Open
With the vigorous development of social economy in China, various advanced technologies and equipment have emerged, among which artificial intelligence (AI) has rapidly developed and achieved remarkable results when applied to many fields.…
View article: Industrial Roll-to-Roll Printing Register Control Using a Pulse-Width Subdivision Detection Algorithm
Industrial Roll-to-Roll Printing Register Control Using a Pulse-Width Subdivision Detection Algorithm Open
Register control systems are a necessary technical measure and an important means of large-scale roll-to-roll industrial printing production. They are effective in reducing the generation of unqualified printing products and improving the …
View article: Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning Open
Effective exploration is critical for reinforcement learning agents in environments with sparse rewards or high-dimensional state-action spaces. Recent works based on state-visitation counts, curiosity and entropy-maximization generate int…
View article: A Stronger Stitching Algorithm for Fisheye Images Based on Deblurring and Registration
A Stronger Stitching Algorithm for Fisheye Images Based on Deblurring and Registration Open
View article: A Stronger Stitching Algorithm for Fisheye Images Based on Deblurring and Registration
A Stronger Stitching Algorithm for Fisheye Images Based on Deblurring and Registration Open
View article: Industrial Printing Image Defect Detection Using Multi‐Edge Feature Fusion Algorithm
Industrial Printing Image Defect Detection Using Multi‐Edge Feature Fusion Algorithm Open
Online defect detection system is a necessary technical measure and important means for large‐scale industrial printing production. It is effective to reduce artificial detection fatigue and improve the accuracy and stability of industry p…
View article: Detecting 6D Poses of Target Objects From Cluttered Scenes by Learning to Align the Point Cloud Patches With the CAD Models
Detecting 6D Poses of Target Objects From Cluttered Scenes by Learning to Align the Point Cloud Patches With the CAD Models Open
6D target object detection is of great importance to many applications such as robotics, industrial automation, and unmanned vehicles and is increasingly influencing broad industries including manufacturing, transportation, and retail indu…
View article: A Compensation Controller Based on a Nonlinear Wavelet Neural Network for Continuous Material Processing Operations
A Compensation Controller Based on a Nonlinear Wavelet Neural Network for Continuous Material Processing Operations Open
Continuous material processing operations like printing and textiles manufacturing are conducted under highly variable conditions due to changes in the environment and/or in the materials being processed. As such, the process... | Find, re…
View article: Classification of surface defects on steel sheet using convolutional neural networks
Classification of surface defects on steel sheet using convolutional neural networks Open
A convolutional neural network (CNN) is proposed to learn multiple useful feature representations for a classification from low level (raw pixels) to high level (object).Convolutional kernels are initialized by the learned filter kernels t…
View article: Learning a Class-specific and Shared Dictionary for Classifying Surface Defects of Steel Sheet
Learning a Class-specific and Shared Dictionary for Classifying Surface Defects of Steel Sheet Open
An approach to a class-specific and shared dictionary learning (CDSDL) for sparse representation is proposed to classify surface defects of steel sheet. The proposed CDSDL algorithm is modelled as a unified objective function, covering rec…
View article: WIRELESS POWER TRANSFER AT SUB-GHZ FREQUENCY FOR CAPSULE ENDOSCOPE
WIRELESS POWER TRANSFER AT SUB-GHZ FREQUENCY FOR CAPSULE ENDOSCOPE Open
View article: An indirect tire identification method based on a two-layered fuzzy scheme
An indirect tire identification method based on a two-layered fuzzy scheme Open
While the heights and numbers of tires in the assembly line are changing, the traditional methods are difficult to identify the types of the tires, so an indirect tire identification method is proposed to identify the types of the tires, w…