Jingye Cai
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View article: Pavement pothole detection system based on deep learning and binocular vision
Pavement pothole detection system based on deep learning and binocular vision Open
Due to strong vibrations and the impact on high-speed vehicles, road potholes may cause discomfort to passengers, damaging the durability of the suspension and the integrity of the cargo. Therefore, a road pothole detection system is propo…
View article: A Smart Space Focus Enhancement System Based on Grey Wolf Algorithm Positioning and Generative Adversarial Networks for Database Augmentation
A Smart Space Focus Enhancement System Based on Grey Wolf Algorithm Positioning and Generative Adversarial Networks for Database Augmentation Open
In the age of technological advancement, brainwave monitoring and attention tracking are critical for individual productivity and organizational efficiency. However, distractions pose significant challenges, making an effective brainwave m…
View article: Implicit Identity Authentication Method Based on User Posture Perception
Implicit Identity Authentication Method Based on User Posture Perception Open
Smart terminals use passwords and physiological characteristics such as fingerprints to authenticate users. Traditional authentication methods work when users unlock their phones, but they cannot continuously verify the user’s legal identi…
View article: Construction of Multi-Scale Fusion Attention Unified Perceptual Parsing Networks for Semantic Segmentation of Mangrove Remote Sensing Images
Construction of Multi-Scale Fusion Attention Unified Perceptual Parsing Networks for Semantic Segmentation of Mangrove Remote Sensing Images Open
Mangrove forests play a crucial role in coastal ecosystem protection and carbon sequestration processes. However, monitoring remains challenging due to the forests’ complex spatial distribution characteristics. This study addresses three k…
View article: MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model
MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model Open
Mangrove wetlands are important ecosystems in tropical and subtropical coastal areas, providing wind and wave attenuation and embankment protection functions. However, mangrove wetlands worldwide are facing severe loss and degradation. Acc…
View article: Heart Failure Prediction Based on Broad Learning System
Heart Failure Prediction Based on Broad Learning System Open
Heart failure is a prevalent and serious cardiovascular condition characterized by the heart’s inability to pump blood to meet the body’s demands adequately. Current research on heart failure prediction primarily relies on conventional cli…
View article: RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement
RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement Open
Recent advancements in retinal vessel segmentation, which employ transformer-based and domain-adaptive approaches, show promise in addressing the complexity of ocular diseases such as diabetic retinopathy. However, current algorithms face …
View article: Frame Size Optimization Using a Machine Learning Approach in WLAN Downlink MU-MIMO Channel
Frame Size Optimization Using a Machine Learning Approach in WLAN Downlink MU-MIMO Channel Open
The IEEE 802.11ac/n introduced frame aggregation technology to accommodate the growing traffic demand and increase the performance of transmission efficiency and channel utilization. This is achieved by allowing many packets to be aggregat…
View article: Frame Size Optimization Using a Machine Learning Approach in WLAN Downlink MU-MIMO Channel
Frame Size Optimization Using a Machine Learning Approach in WLAN Downlink MU-MIMO Channel Open
Machine Learning (ML) is an innovative solution that can autonomously extract patterns and predict trends based on environmental measurements and performance indicators as input to provide self-driven intelligent network systems that can c…
View article: Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification
Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification Open
In recent years, deep learning has been applied to many medical imaging fields, including medical image processing, bioinformatics, medical image classification, segmentation, and prediction tasks. Computer-aided detection systems have bee…
View article: Earf-YOLO: An Efficient Attention Receptive Field Model for Recognizing Symbols of Zhuang Minority Patterns
Earf-YOLO: An Efficient Attention Receptive Field Model for Recognizing Symbols of Zhuang Minority Patterns Open
As for recognizing Zhuang minority pattern symbols, current recognition models often cause high computational overhead and low accuracy since Zhuang minority pattern symbols have large feature vectors and some complex features. In this pap…
View article: Fine-Tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low-Quality Chest X-ray Images for COVID-19 Identification
Fine-Tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low-Quality Chest X-ray Images for COVID-19 Identification Open
Coronavirus disease has rapidly spread globally since early January of 2020. With millions of deaths, it is essential for an automated system to be utilized to aid in the clinical diagnosis and reduce time consumption for image analysis. T…
View article: COVID-19 Identification from Low-Quality Computed Tomography Using a Modified Enhanced Super-Resolution Generative Adversarial Network Plus and Siamese Capsule Network
COVID-19 Identification from Low-Quality Computed Tomography Using a Modified Enhanced Super-Resolution Generative Adversarial Network Plus and Siamese Capsule Network Open
Computed Tomography has become a vital screening method for the detection of coronavirus 2019 (COVID-19). With the high mortality rate and overload for domain experts, radiologists, and clinicians, there is a need for the application of a …
View article: Identification of Diabetic Retinopathy Using Weighted Fusion Deep Learning Based on Dual-Channel Fundus Scans
Identification of Diabetic Retinopathy Using Weighted Fusion Deep Learning Based on Dual-Channel Fundus Scans Open
It is a well-known fact that diabetic retinopathy (DR) is one of the most common causes of visual impairment between the ages of 25 and 74 around the globe. Diabetes is caused by persistently high blood glucose levels, which leads to blood…
View article: Multi-Channel Based Image Processing Scheme for Pneumonia Identification
Multi-Channel Based Image Processing Scheme for Pneumonia Identification Open
Pneumonia is a prevalent severe respiratory infection that affects the distal and alveoli airways. Across the globe, it is a serious public health issue that has caused high mortality rate of children below five years old and the aged citi…
View article: Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4
Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4 Open
Traditional target detection algorithms have difficulty to adapt complex environmental changes and have limited applicable scenarios. However, the deep-learning-based target detection model can automatically learn with strong generalizatio…
View article: Fine-tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low Quality Chest X-ray Images for COVID-19 Identification: Algorithm Development and Validation (Preprint)
Fine-tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low Quality Chest X-ray Images for COVID-19 Identification: Algorithm Development and Validation (Preprint) Open
UNSTRUCTURED Background: Coronavirus disease has explosively spread globally since the early January of 2020. With the millions of the death rate of individuals, it is essential for an automated system to be utilized for aiding the clinic…
View article: Visual Interpretability of Capsule Network for Medical Image analysis
Visual Interpretability of Capsule Network for Medical Image analysis Open
Deep learning (DL) models are currently not widely deployed for critical tasks such as in health.This is attributable to the "black box," making it difficult to gain the trust of practitioners.This paper proposes the use of visualizations …
View article: Exponential Stability of Markovian Jumping Memristor-Based Neural Networks via Event-Triggered Impulsive Control Scheme
Exponential Stability of Markovian Jumping Memristor-Based Neural Networks via Event-Triggered Impulsive Control Scheme Open
This paper studies the modeling and exponential stability problems for markovian jumping memristor-based neural networks (MJMNNs) via event-triggered impulsive control scheme (ETICS). The purpose is to design memristor-based neural network…
View article: Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction
Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction Open
The intelligent transportation system is currently an active research area, and vehicle re-identification (Re-Id) is a fundamental task to implement it. It determines whether the given vehicle image obtained from one camera has already app…
View article: Analytical Design Space of Power Amplifiers Including the Class-A/B/J Continuum for Dynamic Load Modulation
Analytical Design Space of Power Amplifiers Including the Class-A/B/J Continuum for Dynamic Load Modulation Open
In this paper, an analytical design space of power amplifiers (PAs) including the Class-A/B/J continuum for dynamic load modulation (DLM) at the current generator plane (CGP) is proposed based on the theory of load modulated (LM) continuou…