All Outputs (143)

Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications (2025)
Journal Article
Ghamari, M., Suvish, Hwang See, C., Yu, H., Anitha, T., Balamurugan, V. T., Velusamy, S., Hughes, D., & Sundaram, S. (online). Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications. The Chemical Record, https://doi.org/10.1002/tcr.202400249

The escalating global waste crisis necessitates innovative solutions. This study investigates the sustainable production of nanocellulose from biomass waste and its biomedical applications. Cellulose‐rich materials–including wood, textiles, agricultu... Read More about Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications.

Dementia Friendly Buildings—Approach on Architectures (2025)
Journal Article
Ghamari, M., Suvish, Dehkordi, A. A., See, C. H., Sami, A., Yu, H., & Sundaram, S. (2025). Dementia Friendly Buildings—Approach on Architectures. Buildings, 15(3), Article 385. https://doi.org/10.3390/buildings15030385

Dementia’s escalating incidence, coupled with its economic burden, highlights the need for architectural designs and forms that benefit people living with dementia. This research explores strategies and design principles that focus on establishing su... Read More about Dementia Friendly Buildings—Approach on Architectures.

Event-triggered Bipartite Consensus for Multi-agent Systems via Model-free Sliding-mode Scheme (2024)
Journal Article
Zhao, H., Peng, L., Xie, L., & Yu, H. (2025). Event-triggered Bipartite Consensus for Multi-agent Systems via Model-free Sliding-mode Scheme. IEEE Transactions on Network Science and Engineering, 12(2), 1137-1145. https://doi.org/10.1109/tnse.2024.3524383

This paper addresses the challenge of achieving fully distributed event-triggered bipartite consensus in discrete-time nonlinear multi-agent systems (MASs) characterized by unknown dynamic models and antagonistic interactions. It begins by transformi... Read More about Event-triggered Bipartite Consensus for Multi-agent Systems via Model-free Sliding-mode Scheme.

Biodegradable biopolymers for electrochemical energy storage devices in a circular economy (2024)
Journal Article
Beg, M., Saju, J., Alcock, K. M., Mavelil, A. T., Markapudi, P. R., Yu, H., & Manjakkal, L. (2025). Biodegradable biopolymers for electrochemical energy storage devices in a circular economy. RSC Sustainability, 3(1), 37-63. https://doi.org/10.1039/d4su00468j

The rising trend of green energy has made it necessary to utilise efficient green materials in electrochemical energy storage devices (EESDs) under a green economy. The need for sustainable energy storage technologies due to the rising demand for ene... Read More about Biodegradable biopolymers for electrochemical energy storage devices in a circular economy.

Valorization of diverse waste-derived nanocellulose for multifaceted applications: A review (2024)
Journal Article
Ghamari, M., Sun, D., Dai, Y., See, C. H., Yu, H., Edirisinghe, M., & Sundaram, S. (2024). Valorization of diverse waste-derived nanocellulose for multifaceted applications: A review. International Journal of Biological Macromolecules, 280(3), Article 136130. https://doi.org/10.1016/j.ijbiomac.2024.136130

The study underscores the urgent need for sustainable waste management by focusing on circular economy principles, government regulations, and public awareness to combat ecological threats, pollution, and climate change effects. It explores extractin... Read More about Valorization of diverse waste-derived nanocellulose for multifaceted applications: A review.

Advancements and Challenges in Antenna Design and Rectifying Circuits for Radio Frequency Energy Harvesting (2024)
Journal Article
Odiamenhi, M., Jahanbakhsh Basherlou, H., Hwang See, C., Ojaroudi Parchin, N., Goh, K., & Yu, H. (2024). Advancements and Challenges in Antenna Design and Rectifying Circuits for Radio Frequency Energy Harvesting. Sensors, 24(21), Article 6804. https://doi.org/10.3390/s24216804

The proliferation of smart devices increases the demand for energy-efficient, battery-free technologies essential for sustaining IoT devices in Industry 4.0 and 5G networks, which require zero maintenance and sustainable operation. Integrating radio... Read More about Advancements and Challenges in Antenna Design and Rectifying Circuits for Radio Frequency Energy Harvesting.

Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning (2024)
Journal Article
Wen, X., Wang, Y., Yuan, M., Geng, Y., Yu, H., & Zheng, G. (2024). Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning. IEEE Sensors Journal, 24(23), 39230 - 39242. https://doi.org/10.1109/jsen.2024.3465593

Federated Learning (FL) revolutionizes distributed learning in Human Activity Recognition (HAR) by allowing clients to train models locally and share only model parameters, thus optimizing data usage and mitigating privacy concerns. However, the pres... Read More about Enhancing Human Activity Recognition with FedPA: Focusing on Non-IID Data Challenges in Federated Learning.

Dynamic Event-Triggered Sliding-Mode Bipartite Consensus for Multi-Agent Systems With Unknown Dynamics (2024)
Journal Article
Zhao, H., Peng, L., Xie, L., & Yu, H. (2025). Dynamic Event-Triggered Sliding-Mode Bipartite Consensus for Multi-Agent Systems With Unknown Dynamics. IEEE Transactions on Automation Science and Engineering, 22, 7170-7180. https://doi.org/10.1109/tase.2024.3461806

This paper addresses a data-driven sliding mode bipartite consensus issue for nonlinear discrete-time multi-agent systems with antagonistic interactions and limited communication resources. Initially, the signed graph theory is employed, and a combin... Read More about Dynamic Event-Triggered Sliding-Mode Bipartite Consensus for Multi-Agent Systems With Unknown Dynamics.

A time series context self-supervised learning for soft measurement of the f-CaO content (2024)
Journal Article
Zhao, Y., Han, Y., Chen, B., Wang, Y., Sun, Y., & Yu, H. (2024). A time series context self-supervised learning for soft measurement of the f-CaO content. Measurement Science and Technology, 35(12), Article 125121. https://doi.org/10.1088/1361-6501/ad7be0

The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement quality. In the production of cement clinker, the number of unlabeled samples is excessive and there is an interplay between the variables in time. A time se... Read More about A time series context self-supervised learning for soft measurement of the f-CaO content.

Event-Triggered Automatic Parking Control for Unmanned Vehicles Against DoS Attacks (2024)
Journal Article
Zhao, H., Zhao, Z., Xu, D., & Yu, H. (2024). Event-Triggered Automatic Parking Control for Unmanned Vehicles Against DoS Attacks. IEEE Transactions on Industrial Cyber-Physical Systems, 2, 531-541. https://doi.org/10.1109/ticps.2024.3463613

This paper investigates an event-triggered model-free adaptive automatic parking (ET-MFAAP) control strategy for unmanned four-wheeled mobile vehicles, particularly addressing the challenge posed by dual-channel denial-of-service (DoS) attacks. The a... Read More about Event-Triggered Automatic Parking Control for Unmanned Vehicles Against DoS Attacks.

Resource-Efficient Model-Free Adaptive Platooning Control for Vehicles With Encrypted Information (2024)
Journal Article
Zhao, H., Zhang, Q., Peng, L., & Yu, H. (2024). Resource-Efficient Model-Free Adaptive Platooning Control for Vehicles With Encrypted Information. IEEE Transactions on Intelligent Transportation Systems, 25(12), 20006 - 20016. https://doi.org/10.1109/tits.2024.3454428

This paper addresses the challenge of resource-efficient control in vehicle platooning systems, particularly focusing on communication requirements that involve network encryption. First, we construct a virtual output function to establish a virtual... Read More about Resource-Efficient Model-Free Adaptive Platooning Control for Vehicles With Encrypted Information.

Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component (2024)
Journal Article
Zhang, Z., Huo, B., Liu, Y., Dong, A., & Yu, H. (online). Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component. IEEE/ASME Transactions on Mechatronics, https://doi.org/10.1109/tmech.2024.3450599

Intention tremor is an involuntary and rhythmic muscle contraction that occurs during purposeful limb movements. Functional electrical stimulation based repetitive control (RC) has proven to be an effective approach to reject periodic tremor disturba... Read More about Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component.

H∞ High-Order Repetitive Control for Functional Electrical Stimulation in Intention Tremor Suppression (2024)
Journal Article
Zhang, Z., Huo, B., Liu, Y., Dong, A., & Yu, H. (2025). H∞ High-Order Repetitive Control for Functional Electrical Stimulation in Intention Tremor Suppression. IEEE Transactions on Automation Science and Engineering, 22, 5648 - 5660. https://doi.org/10.1109/tase.2024.3427638

Intention tremor is a rhythmic and involuntary limb swing movement that causes significant inconvenience to the daily life of patients. Repetitive control is suitable for functional-electrical-stimulation-based intention tremor suppression because it... Read More about H∞ High-Order Repetitive Control for Functional Electrical Stimulation in Intention Tremor Suppression.

A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection (2024)
Journal Article
Ma, M., Yang, L., Liu, Y., & Yu, H. (2024). A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection. IEEE Transactions on Intelligent Transportation Systems, 25(11), 16989-17006. https://doi.org/10.1109/tits.2024.3421331

Pavement crack detection poses a formidable challenge due to the intricate texture structures of cracks and the complex environmental settings in which they are situated. In recent years, the advancement of deep learning techniques has prompted a sur... Read More about A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection.

Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement (2024)
Journal Article
Wang, H., Wang, X., Lu, C., Yuan, M., Wang, Y., Yu, H., & Li, H. (2024). Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement. IEEE Access, 12, 95058 - 95070. https://doi.org/10.1109/access.2024.3422256

Human Activity Recognition (HAR) using wearable sensors, particularly wrist-worn devices, has garnered significant research interest. However, challenges such as sensor displacement and variations in wearing habits can affect the accuracy of HAR syst... Read More about Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement.

Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content (2024)
Journal Article
Zhao, Y., Wang, Y., Zhang, S., Wang, X., & Yu, H. (2024). Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content. Measurement Science and Technology, 35(9), Article 095107. https://doi.org/10.1088/1361-6501/ad5612

The content of free calcium oxide (f-CaO) is the primary economic index to evaluate the quality of cement. A residual bidirectional long short-term memory network model (Res-BiLSTMs) based on a multi-task attention mechanism was proposed for the char... Read More about Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content.

ESO-Based Antisaturation Motion Control for Cable-Driven Continuum Robots (2024)
Journal Article
Zhang, K., Liu, Y., Huo, B., Wu, Z., Yang, L., & Yu, H. (2025). ESO-Based Antisaturation Motion Control for Cable-Driven Continuum Robots. IEEE/ASME Transactions on Mechatronics, 30(1), 517 - 529. https://doi.org/10.1109/tmech.2024.3402369

High precision motion control is the key to complete the refined operation tasks for cable-driven continuum robots. However, the existence of model inaccuracy and actuator saturation pose great challenges to the high precision motion control of cable... Read More about ESO-Based Antisaturation Motion Control for Cable-Driven Continuum Robots.

Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks (2024)
Journal Article
Halimu, Y., Zhao, H., Yu, H., Ding, S., & Qiao, S. (2024). Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 238(7), 1231 - 1241. https://doi.org/10.1177/09596518241236928

This article investigates a Denial-of-Service (DoS) attack problem for nonlinear unknown discrete-time multiagent systems (MASs) to implement bipartite consensus tracking tasks with fixed and switching topologies. Firstly, an equivalent linearization... Read More about Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks.

DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments (2024)
Journal Article
Chen, B., Zhang, H., Zhang, F., Jiang, Y., Miao, Z., Yu, H., & Wang, Y. (2025). DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments. IEEE Transactions on Automation Science and Engineering, 22, 2361 - 2374. https://doi.org/10.1109/tase.2024.3379166

Aiming at the area search task of a multi-robot system in an unknown complex obstacle environment, we propose a cooperative area search algorithm based on a dual improved bio-inspired neural network (DIBNN). First, we improve the BNN model to reduce... Read More about DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments.

DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation (2024)
Journal Article
Zhai, C., Yang, L., Liu, Y., & Yu, H. (2024). DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation. IEEE Transactions on Instrumentation and Measurement, 73, Article 2512316. https://doi.org/10.1109/tim.2024.3379418

In the early prevention stage of colorectal cancer, the utilization of automatic polyp segmentation techniques from colonoscopy images has demonstrated efficacy in mitigating the misdiagnosis rate. Nonetheless, accurate polyp segmentation is always a... Read More about DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation.