Danfeng Chen
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View article: Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm
Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm Open
Path planning is of great research significance as it is key to affecting the efficiency and safety of mobile robot autonomous navigation task execution. The traditional gray wolf optimization algorithm is widely used in the field of path …
View article: A New Paradigm for Pre-service Teacher Education and Training Empowered by Generative Artificial Intelligence (AIGC)
A New Paradigm for Pre-service Teacher Education and Training Empowered by Generative Artificial Intelligence (AIGC) Open
View article: Coancestry superposed on admixed populations yields measures of relatedness at individual-level resolution
Coancestry superposed on admixed populations yields measures of relatedness at individual-level resolution Open
The admixture model is widely applied to estimate and interpret population structure among individuals. Here we consider a “standard admixture” model that assumes the admixed populations are unrelated and also a generalized model, where th…
View article: Learning-based sliding mode synchronization for fractional-order Hindmarsh-Rose neuronal models with deterministic learning
Learning-based sliding mode synchronization for fractional-order Hindmarsh-Rose neuronal models with deterministic learning Open
Introduction In recent years, extensive research has been conducted on the synchronous behavior of neural networks. It is found that the synchronization ability of neurons is related to the performance of signal reception and transmission …
View article: Few-Shot Learning for Fault Diagnosis: Semi-Supervised Prototypical Network with Pseudo-Labels
Few-Shot Learning for Fault Diagnosis: Semi-Supervised Prototypical Network with Pseudo-Labels Open
Achieving deep learning-based bearing fault diagnosis heavily relies on large labeled training samples. However, in real industry applications, labeled data are scarce or even impossible to obtain. In this study, we addressed a challenging…
View article: Topology identification and dynamical pattern recognition for Hindmarsh–Rose neuron model via deterministic learning
Topology identification and dynamical pattern recognition for Hindmarsh–Rose neuron model via deterministic learning Open
Studies have shown that Parkinson’s, epilepsy and other brain deficits are closely related to the ability of neurons to synchronize with their neighbors. Therefore, the neurobiological mechanism and synchronization behavior of neurons has …
View article: Two-dimensional planar sound source localization based on microphone array
Two-dimensional planar sound source localization based on microphone array Open
In recent years, people’s awareness of wildlife protection has been increasing, and the demand for wildlife observation and recording has increased. However, the existing sound source localization system needs to continuously collect sound…
View article: Topology Identification of the Hindmarsh-Rose Model via Deterministic Learning
Topology Identification of the Hindmarsh-Rose Model via Deterministic Learning Open
In this paper, the complex dynamic behavior of the Hindmarsh-Rose (HR) model which characterizes the neuron cell is analyzed numerically. And the unknown topology of the system in dynamic environment is locally accurately identified based …
View article: Research on Microgrid Scheduling Based on Improved Crow Search Algorithm
Research on Microgrid Scheduling Based on Improved Crow Search Algorithm Open
Considering the characteristics of distributed power in microgrid, in order to maximize the advantages of distributed power generation technology in economy, environment, and energy, a multiobjective dispatching model of microgrid is propo…
View article: Characterizing batch effects and binding site-specific variability in ChIP-seq data
Characterizing batch effects and binding site-specific variability in ChIP-seq data Open
Multiple sources of variability can bias ChIP-seq data toward inferring transcription factor (TF) binding profiles. As ChIP-seq datasets increase in public repositories, it is now possible and necessary to account for complex sources of va…
View article: A data harmonization pipeline to leverage external controls and boost power in GWAS
A data harmonization pipeline to leverage external controls and boost power in GWAS Open
The use of external controls in genome-wide association study (GWAS) can significantly increase the size and diversity of the control sample, enabling high-resolution ancestry matching and enhancing the power to detect association signals.…
View article: Deep Transfer Learning Method Based on 1D‐CNN for Bearing Fault Diagnosis
Deep Transfer Learning Method Based on 1D‐CNN for Bearing Fault Diagnosis Open
In mechanical fault diagnosis, it is impossible to collect massive labeled samples with the same distribution in real industry. Transfer learning, a promising method, is usually used to address the critical problem. However, as the number …
View article: Cultivation of Modern Science-Technology-Engineering Concept for Engineering Students
Cultivation of Modern Science-Technology-Engineering Concept for Engineering Students Open
In order to enhance the sensitivity, consciousness and action ability in scientific research, technological innovation and engineering practice of engineering students, a four-year and consistent cooperative training program with science-t…
View article: A data harmonization pipeline to leverage external controls and boost power in GWAS
A data harmonization pipeline to leverage external controls and boost power in GWAS Open
A bstract The use of external controls in genome-wide association study (GWAS) can significantly increase the size and diversity of the control sample, enabling high-resolution ancestry matching and enhancing the power to detect associatio…
View article: A Novel Intelligent Fault Diagnosis Method for Rolling Bearing Based on Integrated Weight Strategy Features Learning
A Novel Intelligent Fault Diagnosis Method for Rolling Bearing Based on Integrated Weight Strategy Features Learning Open
Intelligent methods have long been researched in fault diagnosis. Traditionally, feature extraction and fault classification are separated, and this process is not completely intelligent. In addition, most traditional intelligent methods u…
View article: An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System
An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System Open
The beetle antennae search algorithm (BAS) is a new heuristic algorithm proposed in 2017. BAS is a simulation optimization algorithm based on beetle antennae, which determine the direction of flight by sensing the smell of food and thereby…
View article: Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer
Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer Open
With the rapid development of technology, the application of artificial intelligence technology in life is becoming more and more extensive, and intelligent robots play an important role in life. A smart car that can carry out the maze pat…
View article: Improved Simplified Particle Swarm Optimization Based on Piecewise Nonlinear Acceleration Coefficients and Mean Differential Mutation Strategy
Improved Simplified Particle Swarm Optimization Based on Piecewise Nonlinear Acceleration Coefficients and Mean Differential Mutation Strategy Open
Particle swarm optimization (PSO) has been widely used in various optimization fields because of its easy implementation and high efficiency. However, it suffers from some limitations like slow convergence and premature convergence when so…
View article: A hybrid adaptive unscented Kalman filter algorithm
A hybrid adaptive unscented Kalman filter algorithm Open
In order to overcome the limitation of the traditional adaptive Unscented Kalman Filtering (UKF) algorithm in noise covariance estimation for state and measurement, we propose a hybrid adaptive UKF algorithm based on combining Maximum a po…
View article: A Randomized Clinical Trial of a Functional Electrical Stimulation Mimic to Gait Promotes Motor Recovery and Brain Remodeling in Acute Stroke
A Randomized Clinical Trial of a Functional Electrical Stimulation Mimic to Gait Promotes Motor Recovery and Brain Remodeling in Acute Stroke Open
Functional electrical stimulation can improve motor function after stroke. The mechanism may involve activity-dependent plasticity and brain remodeling. The aim of our study was to investigate the effectiveness of a patterned electrical st…
View article: Interactive Brain Tumor Segmentation with Inclusion Constraints
Interactive Brain Tumor Segmentation with Inclusion Constraints Open
This thesis proposes an improved interactive brain tumor segmentation method based on graph cuts, which is an efficient global optimization framework for image segmentation, and star shape, which is a general segmentation shape prior with …
View article: Design and Calibration of a Six-axis Force/torque Sensor with Large Measurement Range Used for the Space Manipulator
Design and Calibration of a Six-axis Force/torque Sensor with Large Measurement Range Used for the Space Manipulator Open
Multi-axis force/torque sensor is a key component for space robot force control and teleoperation. The special environment of space, however, brings huge challenges to the design of multi-axis force/torque sensor. In this paper, a six-axis…