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View article: Pepsin Digestion for Proteomic Studies of the Human Hair Shaft
Pepsin Digestion for Proteomic Studies of the Human Hair Shaft Open
Rationale Human hair shafts have received increased research interest owing to their easy accessibility and potential as a window for human health. Because the most abundant component in hair is protein, proteomics is a promising tool for …
View article: A Gradient-Projected Model for Image Denoising
A Gradient-Projected Model for Image Denoising Open
Digital images are prone to various forms of noise during acquisition, which can distort structural information and hinder subsequent processing. This work proposes AuroraNet, a denoising framework that extends the dual-branch design of Du…
View article: Research and application of 3D attribute fusion technology based on lithology probability analysis
Research and application of 3D attribute fusion technology based on lithology probability analysis Open
To address the challenges of seismic attribute selection and the low accuracy of characterizing single-phase river channels with a single seismic attribute, a 3D seismic attribute fusion technology based on lithology probability curve anal…
View article: Astrea: A MOE-based Visual Understanding Model with Progressive Alignment
Astrea: A MOE-based Visual Understanding Model with Progressive Alignment Open
Vision-Language Models (VLMs) based on Mixture-of-Experts (MoE) architectures have emerged as a pivotal paradigm in multimodal understanding, offering a powerful framework for integrating visual and linguistic information. However, the inc…
View article: Deep Learning Models for Risk-Aware Asset Allocation: A Theoretical and Empirical Study
Deep Learning Models for Risk-Aware Asset Allocation: A Theoretical and Empirical Study Open
The integration of deep learning into asset allocation strategies has the potential to revolutionize the financial industry by enhancing risk management and optimizing investment portfolios. This paper presents a novel approach to risk-awa…
View article: DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism
DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism Open
With the development of deep learning technology and the widespread application of drones in the agricultural sector, the use of computer vision technology for target detection of pineapples has gradually been recognized as one of the key …
View article: ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling
ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling Open
Synthetic aperture radar (SAR) images are characterized by unique speckle noise, and maintaining image details while effectively reducing this noise has always been a challenging problem. Current deep-learning-based denoising methods mainl…
View article: UGD-DLinkNet: An Enhanced Network for Occluded Road Extraction Using Attention Mechanisms and Uncertainty Estimation
UGD-DLinkNet: An Enhanced Network for Occluded Road Extraction Using Attention Mechanisms and Uncertainty Estimation Open
Road information extracted from high-resolution remote sensing images is crucial for urban planning and traffic navigation. However, challenges such as complex and variable geometric and contextual features of roads, occlusion by trees and…
View article: Design of enhanced deep belief network based on APSO
Design of enhanced deep belief network based on APSO Open
The deep belief network (DBN) has been widely applied in various fields. However, the traditional DBN has low prediction accuracy and it is difficult to determine the network structure when processing the continuous data. To solve these pr…
View article: <b>Long-term nerve regeneration in diabetic keratopathy mediated by a novel NGF delivery system</b>
<b>Long-term nerve regeneration in diabetic keratopathy mediated by a novel NGF delivery system</b> Open
AbstractDiabetic keratopathy (DK) is a common chronic metabolic disorder that causes ocular surface complications. Among various therapeutic approaches, local delivery of nerve growth factor (NGF) remains the most effective treatment for D…
View article: Analysis of Vibration Transmission Path in Packaging System and Design of Teaching Experiment
Analysis of Vibration Transmission Path in Packaging System and Design of Teaching Experiment Open
It is essential for realizing the most suitable product buffer packaging design to quantify the vibration transmission characteristics of the product packaging system. The experiment system for the vibration transmission path of protective…
View article: DTCNet: Transformer-CNN Distillation for Super-Resolution of Remote Sensing Image
DTCNet: Transformer-CNN Distillation for Super-Resolution of Remote Sensing Image Open
Super-resolution reconstruction technology is a crucial approach to enhance the quality of remote sensing optical images. Currently, the mainstream reconstruction methods leverage convolutional neural networks (CNNs). However, they overloo…
View article: Inverse Optimality of Regulation Design for Korteweg-De Vries-Burgers Equation
Inverse Optimality of Regulation Design for Korteweg-De Vries-Burgers Equation Open
In optimal control, it is often necessary to solve Hamilton-Jacobi-Isaacs (HJI) partial differential equation, but it is not only difficult to solve, sometimes even impossible to solve. It is possible to avoid solving the HJI equation by u…
View article: A Framework Study on the Application of AIGC Technology in the Digital Reconstruction of Cultural Heritage
A Framework Study on the Application of AIGC Technology in the Digital Reconstruction of Cultural Heritage Open
AIGC is currently a hot field and a future trend in AI applications, and addressing the challenge of digitally reconstructing cultural heritage under the influence of AI technology is a pressing issue that requires immediate resolution. Th…
View article: Infrared and visible image fusion method based on principal component analysis network and multi-scale morphological gradient
Infrared and visible image fusion method based on principal component analysis network and multi-scale morphological gradient Open
In infrared (IR) and visible image fusion, energy conservation and detail extraction are two key problems. We propose a novel IR and visible image fusion model based on principal component analysis network (PCANet) and multi-scale morpholo…