Xuehua Zhao

Orcid: 0000-0002-0003-285X

According to our database1, Xuehua Zhao authored at least 69 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Evaluation of Future Climate Change Impacts on Key Elements of the Water-Carbon Cycle Using a Physics-Based Ecohydrological Model in Sanchuan River Basin, Loess Plateau.
Remote. Sens., October, 2024

Rational-quadratic kernel-based maximum correntropy Kalman filter for the non-Gaussian noises.
J. Frankl. Inst., 2024

Enhanced sparrow search algorithm based on improved game predatory mechanism and its application.
Digit. Signal Process., 2024

An efficient critical node detection algorithm.
Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

2023
The Benefits of Continental-Scale High-Resolution Hydrological Modeling in the Detection of Extreme Hydrological Events in China.
Remote. Sens., May, 2023

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks.
Knowl. Based Syst., 2023

Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19.
Expert Syst. Appl., 2023

Total suspended particulates prediction method for intensive waterfowl farming.
Proceedings of the 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, 2023

2022
Spiral Gaussian mutation sine cosine algorithm: Framework and comprehensive performance optimization.
Expert Syst. Appl., December, 2022

Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study.
Eng. Comput., 2022

An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection.
Eng. Comput., 2022

SGOA: annealing-behaved grasshopper optimizer for global tasks.
Eng. Comput., 2022

Chaotic oppositional sine-cosine method for solving global optimization problems.
Eng. Comput., 2022

Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction.
Eng. Appl. Artif. Intell., 2022

A hybrid model for the prediction of dissolved oxygen in seabass farming.
Comput. Electron. Agric., 2022

Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution.
Comput. Biol. Medicine, 2022

Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images.
Biomed. Signal Process. Control., 2022

2021
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns.
Knowl. Based Syst., 2021

A bioinformatic variant fruit fly optimizer for tackling optimization problems.
Knowl. Based Syst., 2021

Binary particle swarm optimisation and the extreme learning machine for diagnosing paraquat-poisoned patients.
Int. J. Autom. Control., 2021

Multi-core sine cosine optimization: Methods and inclusive analysis.
Expert Syst. Appl., 2021

Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis.
Expert Syst. Appl., 2021

Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks.
Complex., 2021

Study of Carbon Brush and Slip-Ring System Abrasion From Electric Contact Friction Under Special Environments.
IEEE Access, 2021

Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2020
Quantum-like mutation-induced dragonfly-inspired optimization approach.
Math. Comput. Simul., 2020

Semi-supervised stochastic blockmodel for structure analysis of signed networks.
Knowl. Based Syst., 2020

Orthogonally-designed adapted grasshopper optimization: A comprehensive analysis.
Expert Syst. Appl., 2020

Exploratory differential ant lion-based optimization.
Expert Syst. Appl., 2020

Boosted hunting-based fruit fly optimization and advances in real-world problems.
Expert Syst. Appl., 2020

Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis.
Expert Syst. Appl., 2020

An efficient double adaptive random spare reinforced whale optimization algorithm.
Expert Syst. Appl., 2020

Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies.
Expert Syst. Appl., 2020

A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems.
Appl. Math. Comput., 2020

Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine.
IEEE Access, 2020

Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network.
IEEE Access, 2020

2019
Sentinel surveillance of traffic conditions with multilayer network.
J. Ambient Intell. Humaniz. Comput., 2019

An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks.
Expert Syst. Appl., 2019

Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.
Comput. Biol. Chem., 2019

A New Evolutionary Machine Learning Approach for Identifying Pyrene Induced Hepatotoxicity and Renal Dysfunction in Rats.
IEEE Access, 2019

Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers.
IEEE Access, 2019

A New Hybrid Machine Learning Approach for Prediction of Phenanthrene Toxicity on Mice.
IEEE Access, 2019

Start-Up Control and Grid Integration Characteristics of 300 MVar Synchronous Condenser With Voltage Sourced Converter-Based SFC.
IEEE Access, 2019

2018
Mining the Relationship between Spatial Mobility Patterns and POIs.
Wirel. Commun. Mob. Comput., 2018

Learning node and edge embeddings for signed networks.
Neurocomputing, 2018

Developing a new intelligent system for the diagnosis of tuberculous pleural effusion.
Comput. Methods Programs Biomed., 2018

An Effective Machine Learning Approach for Identifying the Glyphosate Poisoning Status in Rats Using Blood Routine Test.
IEEE Access, 2018

Fault Diagnosis of Water Quality Monitoring Devices Based on Multiclass Support Vector Machines and Rule-Based Decision Trees.
IEEE Access, 2018

Sparse Data-Based Urban Road Travel Speed Prediction Using Probabilistic Principal Component Analysis.
IEEE Access, 2018

Comparing Community Detection Algorithms in Transport Networks via Points of Interest.
IEEE Access, 2018

Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2017
Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis.
IEEE Trans. Knowl. Data Eng., 2017

Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.
Neurocomputing, 2017

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction.
Eng. Appl. Artif. Intell., 2017

An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.
Comput. Math. Methods Medicine, 2017

2016
An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton.
IEEE Access, 2016

Feature Selection for Cotton Matter Classification.
Proceedings of the Computer and Computing Technologies in Agriculture X, 2016

A fast and scalable supervised topic model using stochastic variational inference and MapReduce.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

2015
On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking.
Knowl. Based Syst., 2015

A two-stage feature selection method with its application.
Comput. Electr. Eng., 2015

Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

Bayesian Approach to Modeling and Detecting Communities in Signed Network.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

On the Scalable Learning of Stochastic Blockmodel.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
DC Voltage Balance Control Strategy for Medium Voltage Cascaded STATCOM Based on Distributed Control.
J. Networks, 2014

Community detection for proximity alignment.
Integr. Comput. Aided Eng., 2014

An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach.
Comput. Math. Methods Medicine, 2014

Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton.
Appl. Soft Comput., 2014

Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2010
Optimal operation of hydropower station unit based on ant colony algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010


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