Qian Zhang

Orcid: 0000-0001-5984-8506

Affiliations:

Wenzhou University, College of Computer Science and Artificial Intelligence, Wenzhou, China
Wenzhou University, College of Mathematics, Physics and Electronic Information, Wenzhou, China

According to our database¹, Qian Zhang authored at least 18 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

A hybrid multimodal machine learning model for Detecting Alzheimer's disease.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2024

2023

Enhanced Harris hawks optimization-based fuzzy k-nearest neighbor algorithm for diagnosis of Alzheimer's disease.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, October, 2023

Functional Brain Network Measures for Alzheimer's Disease Classification.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making.

[BibT_eX]

[DOI]

J. Comput. Sci., 2022

Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Optimized deep residual network system for diagnosing tomato pests.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2022

Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

2021

Binary particle swarm optimisation and the extreme learning machine for diagnosing paraquat-poisoned patients.

[BibT_eX]

[DOI]

Int. J. Autom. Control., 2021

Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2021

Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil's Rainforests.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

An enhanced Bacterial Foraging Optimization and its application for training kernel extreme learning machine.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

2019

Enhanced Moth-flame optimizer with mutation strategy for global optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

An Improved Bacterial-Foraging Optimization-Based Machine Learning Framework for Predicting the Severity of Somatization Disorder.

[BibT_eX]

[DOI]

Algorithms, 2018

Chaos Enhanced Bacterial Foraging Optimization for Global Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2018

Qian Zhang

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