Chengliang Liu
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View article: Application of artificial intelligence-assisted confocal laser endomicroscopy in gastrointestinal imaging analysis
Application of artificial intelligence-assisted confocal laser endomicroscopy in gastrointestinal imaging analysis Open
Confocal laser endomicroscopy (CLE) has become an indispensable tool in the diagnosis and detection of gastrointestinal (GI) diseases due to its high-resolution and high-contrast imaging capabilities. However, the early-stage imaging chang…
View article: A hybrid security protocol based on honey encryption and hyperchaotic systems for improving security in internet of things
A hybrid security protocol based on honey encryption and hyperchaotic systems for improving security in internet of things Open
Communication security in the internet of things (IoT) is essential to prevent devices and data from being vulnerable to cyber-attacks and possible abuses. In IoT systems, some sensors transmit critical data, so maintaining the security of…
View article: Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases Open
With the advancement of computer vision, numerous models have been proposed for screening of fundus diseases. However, the recognition of multiple fundus diseases is often hampered by the simultaneous presence of multiple disease types and…
View article: Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG
Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG Open
We propose a knowledge-enhanced electrocardiogram (ECG) diagnosis foundation model (KED) that utilizes large language models to incorporate domain-specific knowledge of ECG signals. This model is trained on 800,000 ECGs from nearly 160,000…
View article: Velocity-Incorporated Wear Model of Rolling Guide Shoe Material Selection
Velocity-Incorporated Wear Model of Rolling Guide Shoe Material Selection Open
To ensure an accurate selection of rolling guide shoe materials, an analysis of the intricate relationship between linear speed and wear is imperative. Finite element simulations and experimental measurements are employed to evaluate four …
View article: A Method for Calculating the Leaf Area of Pak Choi Based on an Improved Mask R-CNN
A Method for Calculating the Leaf Area of Pak Choi Based on an Improved Mask R-CNN Open
The leaf area of pak choi is a critical indicator of growth rate, nutrient absorption, and photosynthetic efficiency, and it is required to be precisely measured for an optimal agricultural output. Traditional methods often fail to deliver…
View article: ECG Quality Assessment Framework by Using Attentional Convolution Neural Network
ECG Quality Assessment Framework by Using Attentional Convolution Neural Network Open
ECG is an important means of diagnosis of arrhythmia. In daily health monitoring, serious noise pollution, reverse leads connection, and so on make cannot meet the requirements of subsequent automatic diagnosis. Thus, it is of great signif…
View article: Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications
Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications Open
Electronic health records (EHR) encompass extensive personal information, diagnostic records, and medical history, enabling the prediction of disease occurrence and mortality risk. The objective of this study is to predict myocardial infar…
View article: An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction
An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction Open
Acute myocardial infarction (AMI) is a kind of heart disease with a high mortality rate and easy to ignore the early symptoms. Patients need to obtain timely and accurate diagnosis at the onset of the disease. Automatic ECG diagnosis based…
View article: A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring
A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring Open
With the development of smart healthcare, ECG monitoring has become an integral part of remote health care and plays a crucial role in diagnosing arrhythmias. However, the current mainstream ECG automatic diagnosis models lack research on …
View article: Investigation of transmission characteristic for harmonic magnetic gears considering dynamic eccentricity using magnetic equivalent circuit
Investigation of transmission characteristic for harmonic magnetic gears considering dynamic eccentricity using magnetic equivalent circuit Open
Harmonic magnetic gears (HMGs) have the advantage of lubrication‐free, high speed ratio and high torque density, which make it an attractive solution for safety critical applications. Due to eccentricity caused by machining and assembly, H…
View article: Precise Short-Term Small-Area Sunshine Forecasting for Optimal Seedbed Scheduling in Plant Factories
Precise Short-Term Small-Area Sunshine Forecasting for Optimal Seedbed Scheduling in Plant Factories Open
Photosynthesis is one of the key issues for vertical cultivation in plant factories, and efficient natural sunlight utilization requires predicting the light falling on each seedbed in a real-time manner. However, public weather services n…
View article: Multi-periodicity and Multi-scale Network for Motor Fault Diagnosis
Multi-periodicity and Multi-scale Network for Motor Fault Diagnosis Open
Intelligent fault diagnosis of motor is of tremendous significance to ensuring reliable industrial production, and deep learning methods have gained notable achievements recently. Most researches automatically extracted fault information f…
View article: Drivable Agricultural Road Region Detection Based on Pixel-Level Segmentation with Contextual Representation Augmentation
Drivable Agricultural Road Region Detection Based on Pixel-Level Segmentation with Contextual Representation Augmentation Open
Drivable area detection is crucial for the autonomous navigation of agricultural robots. However, semi-structured agricultural roads are generally not marked with lanes and their boundaries are ambiguous, which impedes the accurate segment…
View article: Harvesting Route Detection and Crop Height Estimation Methods for Lodged Farmland Based on AdaBoost
Harvesting Route Detection and Crop Height Estimation Methods for Lodged Farmland Based on AdaBoost Open
Addressing the challenge of the current harvester route detection method’s reduced robustness within lodging-affected farmland environments and its limited perception of crop lodging, this paper proposes a harvesting operation image segmen…
View article: Precise visual positioning of agricultural mobile robots with a fiducial marker reprojection approach
Precise visual positioning of agricultural mobile robots with a fiducial marker reprojection approach Open
Semi-structured greenhouse environment often features repetitive and weak texture, naturally bringing challenges to high-precision vision-based positioning techniques. This paper proposes a precise visual positioning method for agricultura…
View article: An Optimized Fractional-Order PID Horizontal Vibration Control Approach for a High-Speed Elevator
An Optimized Fractional-Order PID Horizontal Vibration Control Approach for a High-Speed Elevator Open
Due to factors such as uneven guide rails and airflow disturbance in the hoistway, high-speed elevators may experience significant vibrations during operation. This paper proposes an optimized fractional-order PID (FOPID) method to suppres…
View article: Disturbance Attenuation Trajectory Tracking Control of Unmanned Surface Vessel Subject to Measurement Biases
Disturbance Attenuation Trajectory Tracking Control of Unmanned Surface Vessel Subject to Measurement Biases Open
This article addresses trajectory tracking control of unmanned surface vessels (USVs) subject to position and velocity measurement biases. Unlike model uncertainties and external disturbances, measurement biases can lead to mismatched dist…
View article: Integration of Agricultural Wireless Sensor Networks to Web-of-Things Through an Edge-Computing-Enriched WSNs/WoT Gateway
Integration of Agricultural Wireless Sensor Networks to Web-of-Things Through an Edge-Computing-Enriched WSNs/WoT Gateway Open
To connect agricultural wireless sensor networks (WSNs) to web services and applications, the agricultural WSNs/WoT gateway is empowered with local data management and network maintenance functions for downstream WSNs in addition to tradit…
View article: A data-driven approach for modifying the rope dynamics model of the flexible hoisting system
A data-driven approach for modifying the rope dynamics model of the flexible hoisting system Open
In the flexible hoisting system, past research focused on the physical modeling without considering complex external environmental variables such as guided rails excitation and shaft effect, leading to a significant deviation between the p…
View article: Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module
Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module Open
Currently, accuracy of existing diesel engine fault diagnosis methods under strong noise and generalisation performance between different noise levels are still limited. A novel multi‐scale CNN‐LSTM neural network (MSCNN‐LSTMNet) is propos…
View article: Intelligent Surrounding Rock Grade Identification Combining XGBoost Algorithm and Drilling Parameters of Drill Jumbo
Intelligent Surrounding Rock Grade Identification Combining XGBoost Algorithm and Drilling Parameters of Drill Jumbo Open
Surrounding rock classification represents distinguishing the different grades of surrounding rock according to the hardness and integrity of surrounding rock.Accurately obtaining the surrounding rock grade of drill jumbo working face is n…
View article: Weighted Heterogeneous Graph-Based Incremental Automatic Disease Diagnosis Method
Weighted Heterogeneous Graph-Based Incremental Automatic Disease Diagnosis Method Open
View article: Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction
Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction Open
Due to the closed working environment of shield machines, the construction personnel cannot observe the construction geological environment, which seriously restricts the safety and efficiency of the tunneling process. In this study, we pr…
View article: Designing an Interactively Cognitive Humanoid Field-Phenotyping Robot for In-Field Rice Tiller Counting
Designing an Interactively Cognitive Humanoid Field-Phenotyping Robot for In-Field Rice Tiller Counting Open
Field phenotyping is a crucial process in crop breeding, and traditional manual phenotyping is labor-intensive and time-consuming. Therefore, many automatic high-throughput phenotyping platforms (HTPPs) have been studied. However, existing…
View article: Multiple high-regional-incidence cardiac disease diagnosis with deep learning and its potential to elevate cardiologist performance
Multiple high-regional-incidence cardiac disease diagnosis with deep learning and its potential to elevate cardiologist performance Open
Currently, due to lack of large-scale datasets containing multiple arrhythmias and acute coronary syndrome-related diseases, AI-aided diagnosis for cardiac diseases is limited in clinical scenarios. Whether AI-based ECG diagnosis can assis…
View article: Cavitation recognition of axial piston pumps in noisy environment based on Grad‐CAM visualization technique
Cavitation recognition of axial piston pumps in noisy environment based on Grad‐CAM visualization technique Open
The cavitation in axial piston pumps threatens the reliability and safety of the overall hydraulic system. Vibration signal can reflect the cavitation conditions in axial piston pumps and it has been combined with machine learning to detec…
View article: Physiological Responses of Typical Wetland Plants Following Flooding Process—From an Eco-Hydrological Model Perspective
Physiological Responses of Typical Wetland Plants Following Flooding Process—From an Eco-Hydrological Model Perspective Open
Anaerobics increase resistance to gas transport and microbial activity in flooded soils. This may result in the presence of aerenchyma in the roots of some wetland plants. Increased aerenchyma airspaces enable oxygen to be transported from…
View article: Failure Warning of Harmonic Reducer Based on Power Prediction
Failure Warning of Harmonic Reducer Based on Power Prediction Open
—Harmonic reducer is the core component of industrial robots. During its operation, the power signal is a key parameter that embodies the performance of the harmonic reducer. Therefore, accurate power prediction of the harmonic reducer has…
View article: Analysis on accuracy of rotor‐locked transient‐response‐based vibration model for switched reluctance machines
Analysis on accuracy of rotor‐locked transient‐response‐based vibration model for switched reluctance machines Open
This paper investigates the accuracy of rotor‐locked transient‐response (RLTR)‐based vibration model for switched reluctance machines (SRM). RLTR is stator vibration stimulated by abrupt change of radial force when turning off one phase of…