Jianzhuo Yan
YOU?
Author Swipe
View article: StrokeENDPredictor-19: Setting New Prediction Model in Neurological Prognosis in Acute Ischemic Stroke
StrokeENDPredictor-19: Setting New Prediction Model in Neurological Prognosis in Acute Ischemic Stroke Open
View article: Hierarchical Spatio-Temporal Dynamic Dependency Learning for Multivariate Operating Status Prediction of Pump Station Units
Hierarchical Spatio-Temporal Dynamic Dependency Learning for Multivariate Operating Status Prediction of Pump Station Units Open
View article: Graph-Patchformer: Patch Interaction Transformer with Adaptive Graph Learning for Multivariate Time Series Forecasting
Graph-Patchformer: Patch Interaction Transformer with Adaptive Graph Learning for Multivariate Time Series Forecasting Open
View article: Kgmlp: A Domain-Knowledge Augmented Linear Model for Remaining Useful Life Estimation in Rotating Machinery
Kgmlp: A Domain-Knowledge Augmented Linear Model for Remaining Useful Life Estimation in Rotating Machinery Open
View article: A Lightweight Multilayer Perceptron Model Enhanced with Domain Knowledge for Remaining Useful Life Estimation in Rotating Machinery
A Lightweight Multilayer Perceptron Model Enhanced with Domain Knowledge for Remaining Useful Life Estimation in Rotating Machinery Open
View article: Correction: Jabbar et al. Transfer Learning-Based Model for Diabetic Retinopathy Diagnosis Using Retinal Images. Brain Sci. 2022, 12, 535
Correction: Jabbar et al. Transfer Learning-Based Model for Diabetic Retinopathy Diagnosis Using Retinal Images. Brain Sci. 2022, 12, 535 Open
In the original publication [...]
View article: Water Flow Prediction Based on Improved Spatiotemporal Attention Mechanism of Long Short-Term Memory Network
Water Flow Prediction Based on Improved Spatiotemporal Attention Mechanism of Long Short-Term Memory Network Open
The prediction of water plant flow should establish relationships between upstream and downstream hydrological stations, which is crucial for the early detection of flow anomalies. Long Short-Term Memory Networks (LSTMs) have been widely a…
View article: A cooperative control method and application for series multivariable coupled system
A cooperative control method and application for series multivariable coupled system Open
Series multivariable coupled system is a typical controlled object in process control industry. The interaction of various state variables between multiple inputs and outputs in the system forms a complex series multivariable coupled struc…
View article: RGX Ensemble Model for Advanced Prediction of Mortality Outcomes in Stroke Patients
RGX Ensemble Model for Advanced Prediction of Mortality Outcomes in Stroke Patients Open
Objective: This paper aims to address the clinical challenge of predicting the outcomes of stroke patients and proposes a comprehensive model called RGX to help clinicians adopt more personalized treatment plans. Impact Statement: The comp…
View article: Overflow Capacity Prediction of Pumping Station Based on Data Drive
Overflow Capacity Prediction of Pumping Station Based on Data Drive Open
In recent years, the information requirements of pumping stations have become higher and higher. The prediction of overflow capacity can provide important reference for flood carrying capacity, water resource scheduling and water safety. I…
View article: BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer’s disease
BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer’s disease Open
Recent advancements in AI, big data analytics, and magnetic resonance imaging (MRI) have revolutionized the study of brain diseases such as Alzheimer’s Disease (AD). However, most AI models used for neuroimaging classification tasks have l…
View article: Separation Zone Required to Buffer Hazardous Waste Landfills Impact on Scattered Water Supply Sources: From a Whole Lifespan Perspective
Separation Zone Required to Buffer Hazardous Waste Landfills Impact on Scattered Water Supply Sources: From a Whole Lifespan Perspective Open
Threats from landfill leachate leakage to groundwater quality in remote areas is a major concern globally. Buffering distance (BFD) maintained between landfill site and groundwater supply wells is important to prevent drinking water from c…
View article: Data-Driven Parameter Prediction of Water Pumping Station
Data-Driven Parameter Prediction of Water Pumping Station Open
In the construction process of an intelligent pumping station, the parameter calibration of the pumping station unit is very important. In actual engineering, the working parameters of the pumping station are affected by complex working co…
View article: EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network
EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network Open
With the rapid development of the internet and social media, extracting emergency events from online news reports has become an urgent need for public safety. However, current studies on the text mining of emergency information mainly focu…
View article: Transfer Learning-Based Model for Diabetic Retinopathy Diagnosis Using Retinal Images
Transfer Learning-Based Model for Diabetic Retinopathy Diagnosis Using Retinal Images Open
Diabetic retinopathy (DR) is a visual obstacle caused by diabetic disease, which forms because of long-standing diabetes mellitus, which damages the retinal blood vessels. This disease is considered one of the principal causes of sightless…
View article: Seizure Prediction Based on Transformer Using Scalp Electroencephalogram
Seizure Prediction Based on Transformer Using Scalp Electroencephalogram Open
Epilepsy is a chronic and recurrent brain dysfunction disease. An acute epileptic attack will interfere with a patient’s normal behavior and consciousness, having a great impact on their life. The purpose of this study was to design a seiz…
View article: Analyzing the Impact of Meteorological Parameters on Rainfall Prediction
Analyzing the Impact of Meteorological Parameters on Rainfall Prediction Open
Rainfall is a climatic factor that affects many human activities like agriculture, construction, and forestry. Rainfall is dependent on various meteorological features and its prediction is a very complex task due to the dynamic climatic n…
View article: Rainfall Forecast Model Based on the TabNet Model
Rainfall Forecast Model Based on the TabNet Model Open
To further reduce the error rate of rainfall prediction, we used a new machine learning model for rainfall prediction and new feature engineering methods, and combined the satellite system’s method of observing rainfall with the machine le…
View article: Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model
Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model Open
The current global water environment has been seriously damaged. The prediction of water quality parameters can provide effective reference materials for future water conditions and water quality improvement. In order to further improve th…
View article: Long-Term Rainfall Forecast Model Based on The TabNet and LightGbm Algorithm
Long-Term Rainfall Forecast Model Based on The TabNet and LightGbm Algorithm Open
Due to the problems of unbalanced data sets and distribution differences in long-term rainfall prediction, the current rainfall prediction model had poor generalization performance and could not achieve good prediction results in real scen…
View article: An event based topic learning pipeline for neuroimaging literature mining
An event based topic learning pipeline for neuroimaging literature mining Open
Neuroimaging text mining extracts knowledge from neuroimaging texts and has received widespread attention. Topic learning is an important research focus of neuroimaging text mining. However, current neuroimaging topic learning researches m…
View article: Water Quality Data Outlier Detection Method Based on Spatial Series Features
Water Quality Data Outlier Detection Method Based on Spatial Series Features Open
Outlier detection is one of the major branch in data mining which has been applied in different fields. Researchers have focused on the outlier detection in time series, but rarely spatial series. In this paper, we propose a new outlier de…
View article: An Event Based Topic Learning Pipeline for Neuroimaging Literature Mining
An Event Based Topic Learning Pipeline for Neuroimaging Literature Mining Open
Neuroimaging text mining extracts knowledge from neuroimaging text and has received widespread attention. Topic learning is an important research focus of neuroimaging text mining. However, current neuroimaging topic learning researches ma…
View article: Application of an Improved Synthetical Semantic Similarity Method in Water Knowledge Graph
Application of an Improved Synthetical Semantic Similarity Method in Water Knowledge Graph Open
In order to integrate different kinds of information in the water affairs field, this paper proposes an improved comprehensive semantic similarity algorithm and applies it to the construction of water affairs ontology. In this article, the…
View article: A Prediction Model Based on Deep Belief Network and Least Squares SVR Applied to Cross-Section Water Quality
A Prediction Model Based on Deep Belief Network and Least Squares SVR Applied to Cross-Section Water Quality Open
Recently, the quality of fresh water resources is threatened by numerous pollutants. Prediction of water quality is an important tool for controlling and reducing water pollution. By employing superior big data processing ability of deep l…
View article: A EEG-based emotion recognition model with rhythm and time characteristics
A EEG-based emotion recognition model with rhythm and time characteristics Open
As an advanced function of the human brain, emotion has a significant influence on human studies, works, and other aspects of life. Artificial Intelligence has played an important role in recognizing human emotion correctly. EEG-based emot…
View article: Application of a Parallel Particle Swarm Optimization-Long Short Term Memory Model to Improve Water Quality Data
Application of a Parallel Particle Swarm Optimization-Long Short Term Memory Model to Improve Water Quality Data Open
Water quality data cleaning is important for the management of water environments. A framework for water quality time series cleaning is proposed in this paper. Considering the nonlinear relationships among water quality indicators, suppor…
View article: Application of a Hybrid Optimized BP Network Model to Estimate Water Quality Parameters of Beihai Lake in Beijing
Application of a Hybrid Optimized BP Network Model to Estimate Water Quality Parameters of Beihai Lake in Beijing Open
Nowadays, freshwater resources are facing numerous crises and pressures, resulting from both artificial and natural process, so it is crucial to predict the water quality for the department of water environment protection. This paper propo…
View article: Construction and Recommendation of a Water Affair Knowledge Graph
Construction and Recommendation of a Water Affair Knowledge Graph Open
Water affair data mainly consists of structured data and unstructured data, and the storage methods of data are diverse and heterogeneous. To meet the needs of water affair information integration, a method of constructing a knowledge grap…
View article: Channel Division Based Multiple Classifiers Fusion for Emotion Recognition Using EEG signals
Channel Division Based Multiple Classifiers Fusion for Emotion Recognition Using EEG signals Open
With the rapid development of computer technology, pervasive computing and wearable devices, EEG-based emotion recognition has gradually attracted much attention in affecting computing (AC) domain. In this paper, we propose an approach of …