Tri-level attribute reduction based on neighborhood rough sets DOI

Lianhui Luo,

Jilin Yang, Xianyong Zhang

et al.

Applied Intelligence, Journal Year: 2024, Volume and Issue: 54(5), P. 3786 - 3807

Published: March 1, 2024

Language: Английский

A multi-scale information fusion-based multiple correlations for unsupervised attribute selection DOI
Pengfei Zhang, Dexian Wang,

Zheng Yu

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: 106, P. 102276 - 102276

Published: Feb. 1, 2024

Language: Английский

Citations

23
Three-way multi-label classification: A review, a framework, and new challenges DOI

Yuanjian Zhang,

Tianna Zhao, Duoqian Miao

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112757 - 112757

Published: Jan. 1, 2025

Language: Английский

Citations

2
Optimized Deep Learning for Potato Blight Detection Using the Waterwheel Plant Algorithm and Sine Cosine Algorithm DOI Creative Commons
Ahmed M. Elshewey,

Sayed M. Tawfeek,

Amel Ali Alhussan

et al.

Potato Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 28, 2024

Abstract Potato blight, sometimes referred to as late is a deadly disease that affects Solanaceae plants, including potato. The oomycete Phytophthora infestans causal agent, and it may seriously damage potato crops, lowering yields causing financial losses. To ensure food security reduce economic losses in agriculture, diseases must be identified. approach we have proposed our study provide reliable efficient solution improve blight classification accuracy. For this purpose, used the ResNet-50, GoogLeNet, AlexNet, VGG19Net pre-trained models. We AlexNet model for feature extraction, which produced best results. After selected features using ten optimization algorithms their binary format. Binary Waterwheel Plant Algorithm Sine Cosine (WWPASC) achieved results amongst algorithms, performed statistical analysis on features. Five machine learning models—Decision Tree (DT), Random Forest (RF), Multilayer Perceptron (MLP), Support Vector Machine (SVM), K -Nearest Neighbour (KNN)—were train chosen most accurate was MLP model. hyperparameters of were optimized (WWPASC). indicate suggested methodology (WWPASC-MLP) outperforms four other techniques, with accuracy 99.5%.

Language: Английский

Citations

14
Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures DOI
Tengyu Yin, Hongmei Chen, Zhihong Wang

et al.

Pattern Recognition, Journal Year: 2024, Volume and Issue: 154, P. 110580 - 110580

Published: May 11, 2024

Language: Английский

Citations

11
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems DOI
Yu Xue, Chenyi Zhang

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101760 - 101760

Published: Nov. 4, 2024

Language: Английский

Citations

9
A fuzzy β-covering rough set model for attribute reduction by composite measure DOI
Xiongtao Zou, Jianhua Dai

Fuzzy Sets and Systems, Journal Year: 2025, Volume and Issue: unknown, P. 109314 - 109314

Published: Feb. 1, 2025

Language: Английский

Citations

1
A novel adaptive neighborhood rough sets based on sparrow search algorithm and feature selection DOI
Caihui Liu,

Bowen Lin,

Duoqian Miao

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 679, P. 121099 - 121099

Published: Sept. 1, 2024

Language: Английский

Citations

7
Multi-fuzzy β-covering fusion based accuracy and self-information for feature subset selection DOI
Xiongtao Zou, Jianhua Dai

Information Fusion, Journal Year: 2024, Volume and Issue: 110, P. 102486 - 102486

Published: May 20, 2024

Language: Английский

Citations

5
Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection DOI
Lin Sun, Qifeng Zhang, Weiping Ding

et al.

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 299, P. 112125 - 112125

Published: June 19, 2024

Language: Английский

Citations

5
Noise-resistant Fuzzy Multineighbourhood Rough Set-Based Feature Selection with Label Enhancement and Its Application for Multilabel Classification DOI
Lin Sun,

Wenjuan Du,

Jiucheng Xu

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: unknown, P. 112284 - 112284

Published: Sept. 1, 2024

Language: Английский

Citations

5