Background and Research Motivation Parkinson’s Disease (PD) is a neurodegenerative disorder primarily affecting patients’ motor abilities, leading to tremors, bradykinesia, limb rigidity, and problems with gait and balance. These motor deficits significantly impact patients’ ability to live independently and their quality of life. Statistics predic...

Hybrid Hydrogel-Magnetic Driven Capsule for Automatic Intestinal Microbiome Sampling Academic Background The gut microbiome is composed of a large and diverse community of microorganisms that significantly impact human health, including conditions such as cancer, diabetes, and inflammatory bowel disease (IBD). Current methods for studying the gut m...

Prediction of Ventricular Fibrillation in Myocardial Infarction Model in Pigs Based on T-peak-to-T-end Interval Variation Using Time Warping Technique Background Introduction Source of the Paper Sudden Cardiac Death (SCD) is a leading cause of mortality worldwide, with one of its primary pathogenic mechanisms being Ventricular Fibrillation (VF), es...

Academic Report: Research on a Biomimetic Visual Detection Model Based on Fractional Spiking Neuron Circuits In the fields of intelligent autonomous driving and unmanned aerial vehicles, quickly and effectively predicting collisions and triggering avoidance behaviors have significant application value. The Lobula Giant Movement Detectors (LGMDs) in...

A Method for Quantifying Cervical Elasticity During Pregnancy Based on Transvaginal Ultrasound and Pressure Measurement Background and Motivation Preterm birth (delivery before 37 weeks of gestation) is a major cause of neonatal morbidity and mortality. Due to the high risks associated with preterm birth, many pregnant women with preterm symptoms n...

Object Detection in 360° Images using FOV IoU 360° cameras have gained widespread use in various fields such as virtual reality, autonomous driving, and security monitoring in recent years. With the increase in 360° image data, the demand for 360° image recognition tasks, especially object detection, is continuously growing. Due to the shortcomings...

DVMark: A Multi-Scale Deep Learning Framework for Video Watermarking Video watermarking technology achieves data hiding by embedding information into the cover video. The DVMark model proposed in this paper is a multi-scale video watermarking solution based on deep learning that boasts high robustness and practicality, capable of resisting various ...

Stacked Deconvolutional Network for Semantic Segmentation Introduction Semantic segmentation is a critical task in the field of computer vision, aiming to classify each pixel in an image and predict its category. However, existing Fully Convolutional Networks (FCNs) have limitations in handling spatial resolution, often leading to problems such as ...

FP-Age: Face Parsing Attention Mechanism for Facial Age Estimation in the Wild Research Background Age estimation on facial images is a significant computer vision task with extensive applications in forensics, security, health welfare, and social media. However, due to diverse factors such as head pose, facial expressions, and occlusions, the perf...

TGFuse: A Transformer and Generative Adversarial Network-Based Method for Infrared and Visible Image Fusion Background Introduction With the development of imaging devices and analysis methods, multimodal visual data is rapidly emerging, with many practical applications. In these applications, image fusion plays a significant role in helping the hu...