Baiyang Wang
YOU?
Author Swipe
View article: An EEG and Deep Learning-based Detection Method for Learning Concentration
An EEG and Deep Learning-based Detection Method for Learning Concentration Open
Concentration has a significant impact on learning effectiveness, making it crucial to study attention. However, there is little research on the quantitative measurement of learning attention. Electroencephalography (EEG) signals can refle…
View article: Trustworthy Medical Question Answering: An Evaluation-Centric Survey
Trustworthy Medical Question Answering: An Evaluation-Centric Survey Open
Trustworthiness in healthcare question-answering (QA) systems is important for ensuring patient safety, clinical effectiveness, and user confidence. As large language models (LLMs) become increasingly integrated into medical settings, the …
View article: Biosynthesis of Bacteriochlorophylls and Bacteriochlorophyllides in <i>Escherichia coli</i>
Biosynthesis of Bacteriochlorophylls and Bacteriochlorophyllides in <i>Escherichia coli</i> Open
Photosynthesis, the most important biological process on Earth, converts light energy into chemical energy with essential pigments like chlorophylls and bacteriochlorophylls. The ability to reconstruct photosynthesis in heterotrophic organ…
View article: Multi-branch fusion graph neural network based on multi-head attention for childhood seizure detection
Multi-branch fusion graph neural network based on multi-head attention for childhood seizure detection Open
The most common manifestation of neurological disorders in children is the occurrence of epileptic seizures. In this study, we propose a multi-branch graph convolutional network (MGCNA) framework with a multi-head attention mechanism for d…
View article: MobileAmcT: A Lightweight Mobile Automatic Modulation Classification Transformer in Drone Communication Systems
MobileAmcT: A Lightweight Mobile Automatic Modulation Classification Transformer in Drone Communication Systems Open
With the rapid advancement of wireless communication technology, automatic modulation classification (AMC) plays a crucial role in drone communication systems, ensuring reliable and efficient communication in various non-cooperative enviro…
View article: Detection Method of Epileptic Seizures Using a Neural Network Model Based on Multimodal Dual-Stream Networks
Detection Method of Epileptic Seizures Using a Neural Network Model Based on Multimodal Dual-Stream Networks Open
Epilepsy is a common neurological disorder, and its diagnosis mainly relies on the analysis of electroencephalogram (EEG) signals. However, the raw EEG signals contain limited recognizable features, and in order to increase the recognizabl…
View article: Multi-Scale and Multi-Channel Information Fusion for Exercise Electrocardiogram Feature Extraction and Classification
Multi-Scale and Multi-Channel Information Fusion for Exercise Electrocardiogram Feature Extraction and Classification Open
Increased physical activity can help reduce the occurrence of cardiovascular disease. However, cardiovascular disease during strenuous exercise also brings certain risks, so a convenient and effective method is needed to accurately identif…
View article: Multi-classification method of arrhythmia based on multi-scale residual neural network and multi-channel data fusion
Multi-classification method of arrhythmia based on multi-scale residual neural network and multi-channel data fusion Open
Since ECG contains key characteristic information of arrhythmias, extracting this information is crucial for identifying arrhythmias. Based on this, in order to effectively extract ECG data features and realize automatic detection of arrhy…
View article: Gear Fault Diagnosis Method Based on Multi-Sensor Information Fusion and VGG
Gear Fault Diagnosis Method Based on Multi-Sensor Information Fusion and VGG Open
The gearbox is an important component in the mechanical transmission system and plays a key role in aerospace, wind power and other fields. Gear failure is one of the main causes of gearbox failure, and therefore it is very important to ac…
View article: EEG diagnosis of depression based on multi-channel data fusion and clipping augmentation and convolutional neural network
EEG diagnosis of depression based on multi-channel data fusion and clipping augmentation and convolutional neural network Open
Depression is an undetectable mental disease. Most of the patients with depressive symptoms do not know that they are suffering from depression. Since the novel Coronavirus pandemic 2019, the number of patients with depression has increase…
View article: Exercise fatigue diagnosis method based on short-time Fourier transform and convolutional neural network
Exercise fatigue diagnosis method based on short-time Fourier transform and convolutional neural network Open
Reasonable exercise is beneficial to human health. However, it is difficult for ordinary athletes to judge whether they are already in a state of fatigue that is not suitable for exercise. In this case, it is easy to cause physical damage …
View article: A Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network
A Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network Open
With the development of information technology, it has become increasingly important to use intelligent algorithms to diagnose mechanical equipment faults based on vibration signals of rolling bearings. However, with the application of hig…
View article: AGV Status Monitoring and Fault Diagnosis based on CNN
AGV Status Monitoring and Fault Diagnosis based on CNN Open
In order to solve the problem of AGV fault detection system’s complexion and low accuracy, a convolutional neural network (CNN) based on the status monitoring and fault diagnosis method for automatic guided vehicle (AGV) is proposed. First…
View article: Athlete Exercise Intensity Recognition Method based on ECG and Convolutional Neural Network
Athlete Exercise Intensity Recognition Method based on ECG and Convolutional Neural Network Open
Unreasonable exercise will cause damage to the body. In physical education, coaches only use physiological indicators such as heart rate and breathing to judge the physiological state of athletes, which is highly subjective and is not cond…
View article: Research on Skin Disease Health Detection of College Students based on Deep Learning
Research on Skin Disease Health Detection of College Students based on Deep Learning Open
Skin disease is a common diseases. Although it is very common, the manifestations of skin diseases are various, and the diagnosis process is relatively difficult, and the requirements for dermatologists are also very high. And the recognit…
View article: The Recognition Method of Athlete Exercise Intensity Based on ECG and PCG
The Recognition Method of Athlete Exercise Intensity Based on ECG and PCG Open
Athletes usually arrange their training plans and determine their training intensity according to the coach’s experience and simple physical indicators such as heart rate during exercise. However, the accuracy of this method is poor, and t…
View article: Classification of Epileptic Brain Signals of College Students Based on Deep Learning
Classification of Epileptic Brain Signals of College Students Based on Deep Learning Open
Epilepsy, as a common nervous system disease in the world, urgently needs effective methods for diagnosis and treatment. Scalp electroencephalogram (EEG) contains a lot of physiological and pathological information, which plays a very impo…
View article: Enabling Efficient Genetic Manipulations in a Rare Actinomycete Pseudonocardia alni Shahu
Enabling Efficient Genetic Manipulations in a Rare Actinomycete Pseudonocardia alni Shahu Open
Pseudonocardia species are emerging as important microorganisms of global concern with unique and increasingly significant ecological roles and represent a prominent source of bioactive natural products, but genetic engineering of these or…
View article: Heat-sensitive moxibustion self-administration in patients in the community with primary hypertension
Heat-sensitive moxibustion self-administration in patients in the community with primary hypertension Open
The protocol of this trial was registered in ClinicalTrials.gov at May 11, 2020 (No. NCT04381520).
View article: Endogenous Type I CRISPR-Cas: From Foreign DNA Defense to Prokaryotic Engineering
Endogenous Type I CRISPR-Cas: From Foreign DNA Defense to Prokaryotic Engineering Open
Establishment of production platforms through prokaryotic engineering in microbial organisms would be one of the most efficient means for chemicals, protein, and biofuels production. Despite the fact that CRISPR (clustered regularly inters…
View article: Characterization and repurposing of the endogenous Type I-F CRISPR–Cas system of Zymomonas mobilis for genome engineering
Characterization and repurposing of the endogenous Type I-F CRISPR–Cas system of Zymomonas mobilis for genome engineering Open
Application of CRISPR-based technologies in non-model microorganisms is currently very limited. Here, we reported efficient genome engineering of an important industrial microorganism, Zymomonas mobilis, by repurposing the endogenous Type …
View article: Characterization and repurposing of the endogenous Type I-F CRISPR-Cas system of<i>Zymomonas mobilis</i>for genome engineering
Characterization and repurposing of the endogenous Type I-F CRISPR-Cas system of<i>Zymomonas mobilis</i>for genome engineering Open
Establishment of production platform organisms through prokaryotic engineering represents an efficient means to generate alternatives for yielding renewable biochemicals and biofuels from sustainable resources. Zymomonas mobilis , a natura…
View article: Generative Adversarial Nets for Multiple Text Corpora
Generative Adversarial Nets for Multiple Text Corpora Open
Generative adversarial nets (GANs) have been successfully applied to the artificial generation of image data. In terms of text data, much has been done on the artificial generation of natural language from a single corpus. We consider mult…
View article: Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach
Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach Open
Most 9-1-1 callers used vague, non-specific, or distractor words and phrases and infrequently provide classic stroke descriptions during 9-1-1 calls for stroke. Both qualitative and quantitative methodologies identified similar key words a…
View article: An Attention-Based Deep Net for Learning to Rank
An Attention-Based Deep Net for Learning to Rank Open
In information retrieval, learning to rank constructs a machine-based ranking model which given a query, sorts the search results by their degree of relevance or importance to the query. Neural networks have been successfully applied to th…
View article: Regularization for Unsupervised Deep Neural Nets
Regularization for Unsupervised Deep Neural Nets Open
Unsupervised neural networks, such as restricted Boltzmann machines (RBMs) and deep belief networks (DBNs), are powerful tools for feature selection and pattern recognition tasks. We demonstrate that overfitting occurs in such models just …
View article: Regularization for Unsupervised Deep Neural Nets
Regularization for Unsupervised Deep Neural Nets Open
Unsupervised neural networks, such as restricted Boltzmann machines (RBMs) and deep belief networks (DBNs), are powerful tools for feature selection and pattern recognition tasks. We demonstrate that overfitting occurs in such models just …
View article: Temporal Topic Analysis with Endogenous and Exogenous Processes
Temporal Topic Analysis with Endogenous and Exogenous Processes Open
We consider the problem of modeling temporal textual data taking endogenous and exogenous processes into account. Such text documents arise in real world applications, including job advertisements and economic news articles, which are infl…