Mingjing Wang
Orcid: 0009-0006-3399-2853
According to our database1,
Mingjing Wang
authored at least 70 papers
between 2016 and 2025.
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Bibliography
2025
ACGRIME: adaptive chaotic Gaussian RIME optimizer for global optimization and feature selection.
Clust. Comput., February, 2025
2024
Clust. Comput., December, 2024
Extracorporeal Closed-Loop Respiratory Regulation for Patients With Respiratory Difficulty Using a Soft Bionic Robot.
IEEE Trans. Biomed. Eng., October, 2024
Dynamics of a predator-prey fishery model with birth pulse, impulsive releasing and harvesting on prey.
J. Appl. Math. Comput., August, 2024
Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images.
Eng. Appl. Artif. Intell., 2024
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation.
Comput. Medical Imaging Graph., 2024
Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning.
Comput. Biol. Medicine, 2024
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis.
Artif. Intell. Medicine, 2024
2023
Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems.
J. Comput. Des. Eng., December, 2023
A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection.
Comput. Biol. Medicine, November, 2023
High-Effectiveness and -Accuracy Difference Scheme Based on Nonuniform Grids for Solving Convection-Diffusion Equations with Boundary Layers.
Axioms, November, 2023
IEEE Syst. J., September, 2023
Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition.
Expert Syst. Appl., April, 2023
A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data.
Appl. Soft Comput., March, 2023
An incremental learning evolutionary algorithm for many-objective optimization with irregular Pareto fronts.
Inf. Sci., 2023
An Objective Reduction Evolutionary Multiobjective Algorithm using Adaptive Density-Based Clustering for Many-objective Optimization Problem.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023
2022
Multi-Strategy Learning Boosted Colony Predation Algorithm for Photovoltaic Model Parameter Identification.
Sensors, 2022
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19.
Frontiers Neuroinformatics, 2022
Eng. Comput., 2022
Eng. Comput., 2022
Eng. Comput., 2022
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm.
Expert Syst. Appl., 2022
Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines.
Comput. Biol. Medicine, 2022
An enhance multimodal multiobjective optimization genetic algorithm with special crowding distance for pulmonary hypertension feature selection.
Comput. Biol. Medicine, 2022
An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
Comput. Biol. Medicine, 2022
2021
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms.
Math. Comput. Simul., 2021
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy.
Knowl. Based Syst., 2021
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance.
Knowl. Based Syst., 2021
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns.
Knowl. Based Syst., 2021
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection.
Knowl. Based Syst., 2021
Knowl. Based Syst., 2021
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis.
Neurocomputing, 2021
Expert Syst. Appl., 2021
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation.
Expert Syst. Appl., 2021
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis.
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Improved Butterfly Optimizer-Configured Extreme Learning Machine for Fault Diagnosis.
Complex., 2021
Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification.
Complex., 2021
Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods.
IEEE Access, 2021
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study.
IEEE Access, 2021
2020
Predicting Coronary Atherosclerotic Heart Disease: An Extreme Learning Machine with Improved Salp Swarm Algorithm.
Symmetry, 2020
Math. Comput. Simul., 2020
Future Gener. Comput. Syst., 2020
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies.
Future Gener. Comput. Syst., 2020
Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis.
Expert Syst. Appl., 2020
Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines.
Expert Syst. Appl., 2020
An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization.
Complex., 2020
An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme.
Complex., 2020
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis.
Appl. Soft Comput., 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
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer.
IEEE Access, 2020
Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers.
IEEE Access, 2020
Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization With Support Vector Machines.
IEEE Access, 2020
Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine.
IEEE Access, 2020
Prediction Optimization of Cervical Hyperextension Injury: Kernel Extreme Learning Machines With Orthogonal Learning Butterfly Optimizer and Broyden- Fletcher-Goldfarb-Shanno Algorithms.
IEEE Access, 2020
IEEE Access, 2020
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
2016
非下采样轮廓波域红外与可见光图像配准算法 (Image Registration Algorithm for Infrared and Visible Light Based on Non-subsampled Contourlet Transform).
计算机科学, 2016
Proceedings of the Fuzzy Systems and Data Mining II, 2016