Outputs (20)

Correction to: Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter (Systems Science & Control Engineering, (2025), 13, 1, (2449156), 10.1080/21642583.2024.2449156) (2025)
Journal Article
Rezoug, A., Iqbal, J., & Nemra, A. (2025). Correction to: Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter (Systems Science & Control Engineering, (2025), 13, 1, (2449156), 10.1080/21642583.2024.2449156). Systems Science and Control Engineering, 13(1), Article 2456881. https://doi.org/10.1080/21642583.2025.2456881

Article title: Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter Authors: Rezoug, A., Iqbal, J., & Nemra, A. Journal:Systems Science & Control EngineeringBibliometrics: Volume 13,... Read More about Correction to: Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter (Systems Science & Control Engineering, (2025), 13, 1, (2449156), 10.1080/21642583.2024.2449156).

An Ordinal Collaboration Network Model with Zero Truncated Poisson Latent Variables and Its Application (2025)
Journal Article
Yang, Q., Tian, Y.-Z., Zhang, Y.-J., Wang, Y., & Mian, Z. (2025). An Ordinal Collaboration Network Model with Zero Truncated Poisson Latent Variables and Its Application. Stat, 14(1), Article e70040. https://doi.org/10.1002/sta4.70040

Link prediction has traditionally been regarded as a binary classification problem, aiming to predict whether a link exists between two nodes in a given network. However, this binary framework fails to account for the cooperation intensity or the div... Read More about An Ordinal Collaboration Network Model with Zero Truncated Poisson Latent Variables and Its Application.

Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization (2025)
Journal Article
Xu, T., Tian, Y., Wu, C., & Mian, Z. (2025). Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization. Statistical Analysis and Data Mining, 18(1), Article e70001. https://doi.org/10.1002/sam.70001

In the era of big data, detecting outliers in time series data is crucial, particularly in fields such as finance and engineering. This article proposes a novel sequence outlier detection method based on the gated recurrent unit autoencoder with Gaus... Read More about Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization.

TOA and TDOA Based Asynchronous Self-Localization: Three Stage Framework for Simultaneous Localization of Microphones and Audio Sources (2025)
Thesis
Cao, F. (2025). TOA and TDOA Based Asynchronous Self-Localization: Three Stage Framework for Simultaneous Localization of Microphones and Audio Sources. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5086296

Self-localization, a pivotal aspect explored in this research, holds significant relevance across various applications, including human-robot interaction and surveillance for aging individuals. Traditional localization methods relying on GPS signals... Read More about TOA and TDOA Based Asynchronous Self-Localization: Three Stage Framework for Simultaneous Localization of Microphones and Audio Sources.

Analysis of the influencing factors of the trade potential between countries along the ‘Belt and Road’ and China: a study based on spatial panel data model (2025)
Journal Article
Zhang, F. L., Tian, Y., Lam, L. K., & Mian, Z. (online). Analysis of the influencing factors of the trade potential between countries along the ‘Belt and Road’ and China: a study based on spatial panel data model. Enterprise Information Systems, https://doi.org/10.1080/17517575.2024.2448315

In 2013, China launched a cooperative initiative to build the “Silk Road Economic Belt” and the “21st Century Maritime Silk Road”. Based on the data of import and export trade between 57 countries along the “Belt and Road” and China from 2010 to 2021... Read More about Analysis of the influencing factors of the trade potential between countries along the ‘Belt and Road’ and China: a study based on spatial panel data model.

Multi-head spatial-spectral mamba for hyperspectral image classification (2025)
Journal Article
Ahmad, A., Butt, M. H. F., Usama, M., Altuwaijri, H. A., Mazzara, M., Distefano, S., & Khan, A. M. (2025). Multi-head spatial-spectral mamba for hyperspectral image classification. Remote Sensing Letters, 16(4), 15-29. https://doi.org/10.1080/2150704X.2025.2461330

Spatial-Spectral Mamba (SSM) improves computational efficiency and captures long-range dependencies, addressing the limitations of transformers. However, traditional Mamba models often overlook the rich spectral information in hyperspectral images (H... Read More about Multi-head spatial-spectral mamba for hyperspectral image classification.

Second order sliding mode control with proportional integral observer for wing rock (2025)
Journal Article
Mahmood, A., & Iqbal, J. (2025). Second order sliding mode control with proportional integral observer for wing rock. Systems Science and Control Engineering, 13(1), Article 245224779. https://doi.org/10.1080/21642583.2025.2460427

In this study, a reduced-order fast proportional integral (PI) observer with a fast convergence function based on the equivalent control notion is developed to estimate the side slip angle β. An unknown state can be discovered by forcing the PI term... Read More about Second order sliding mode control with proportional integral observer for wing rock.

Combined Oriented Data Augmentation Method for Brain MRI Images (2025)
Journal Article
Farhan, A. S., Khalid, M., & Manzoor, U. (2025). Combined Oriented Data Augmentation Method for Brain MRI Images. IEEE Access, 13, 9981-9994. https://doi.org/10.1109/ACCESS.2025.3526684

In recent years, deep learning’s use in medical imaging has grown exponentially. However, one of the biggest problems with training deep learning models is the unavailability of large amounts of data, which leads to overfitting. Collecting large quan... Read More about Combined Oriented Data Augmentation Method for Brain MRI Images.

Robust Position Control of VTOL UAVs Using a Linear Quadratic Rate-Varying Integral Tracker: Design and Validation (2025)
Journal Article
Saleem, O., Kazim, M., & Iqbal, J. (2025). Robust Position Control of VTOL UAVs Using a Linear Quadratic Rate-Varying Integral Tracker: Design and Validation. Drones, 9(1), Article 73. https://doi.org/10.3390/drones9010073

This article presents an optimal tracking controller retrofitted with a nonlinear adaptive integral compensator, specifically designed to ensure robust and accurate positioning of Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) t... Read More about Robust Position Control of VTOL UAVs Using a Linear Quadratic Rate-Varying Integral Tracker: Design and Validation.

Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter (2025)
Journal Article
Rezoug, A., Iqbal, J., & Nemra, A. (2025). Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter. Systems Science and Control Engineering, 13(1), Article 2449156. https://doi.org/10.1080/21642583.2024.2449156

This research introduces a novel dual Fast Grey Wolf Optimizer (FGWO) combined with Radial Basis Function Neural Networks (RBFNN) for a Fractional-Order PID (FOPID) controller applied to a helicopter simulator. The proposed FGWO improves the standard... Read More about Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter.