All Outputs (165)

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams (2023)
Journal Article
Chowdhury, M. H., Chowdhury, M. E., Reaz, M. B. I., Md Ali, S. H., Rakhtala, S. M., Murugappan, M., …Khandakar, A. (2024). LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomedical Signal Processing and Control, 89, Article 105687. https://doi.org/10.1016/j.bspc.2023.105687

A method to accurately estimate physiological signals from video streams at a minimal cost is invaluable. The importance of such a technique in pre-clinical health monitoring cannot be understated. Remote photoplethysmography (rPPG) can be used as a... Read More about LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams.

Assessing the spatiotemporal impact of users’ exposure and vulnerability to flood risk in urban built environments (2023)
Journal Article
Bernardini, G., Ferreira, T. M., Baquedano Julià, P., Ramírez Eudave, R., & Quagliarini, E. (2024). Assessing the spatiotemporal impact of users’ exposure and vulnerability to flood risk in urban built environments. Sustainable Cities and Society, 100, Article 105043. https://doi.org/10.1016/j.scs.2023.105043

Flood risk in an urban built environment depends on the combination of the hazard, the vulnerability of the built environment itself and its infrastructure (referred to as physical vulnerability), and the exposure and vulnerability... Read More about Assessing the spatiotemporal impact of users’ exposure and vulnerability to flood risk in urban built environments.

VERGNet: Visual enhancement guided robotic grasp detection under low-light condition (2023)
Journal Article
Niu, M., Lu, Z., Chen, L., Yang, J., & Yang, C. (2023). VERGNet: Visual enhancement guided robotic grasp detection under low-light condition. IEEE Robotics and Automation Letters, 8(12), 8541-8548. https://doi.org/10.1109/lra.2023.3330664

Although existing grasp detection methods have achieved encouraging performance under well-light conditions, repetitive experiments have found that the detection performance would deteriorate drastically under low-light conditions. Although supplemen... Read More about VERGNet: Visual enhancement guided robotic grasp detection under low-light condition.

Model-free robust decentralised control of multi-input-multi-output nonlinear interconnected dynamic systems (2023)
Journal Article
Zhu, Q., Li, R., Zhang, J., & Shi, B. (in press). Model-free robust decentralised control of multi-input-multi-output nonlinear interconnected dynamic systems. Journal of Vibration and Control, https://doi.org/10.1177/10775463231206601

This study presents a generalised framework for model-free robust decentralised control (MFRDC) of interconnected MIMO dynamic systems, with the goal of significantly reducing complexity in model-based design. A model-free robust sliding mode control... Read More about Model-free robust decentralised control of multi-input-multi-output nonlinear interconnected dynamic systems.

Neural network-enhanced fault diagnosis of robot joints (2023)
Journal Article
Zhang, Y., & Zhu, Q. (2023). Neural network-enhanced fault diagnosis of robot joints. Algorithms, 16(10), Article 489. https://doi.org/10.3390/a16100489

Industrial robots play an indispensable role in flexible production lines, and the faults caused by degradation of equipment, motors, mechanical system joints, and even task diversity affect the efficiency of production lines and product quality. Aim... Read More about Neural network-enhanced fault diagnosis of robot joints.

A review and comparison of transformer and static frequency converter traction supply architectures for AC electrified railways (2023)
Journal Article
Bowdidge, J., & Nouri, H. (2023). A review and comparison of transformer and static frequency converter traction supply architectures for AC electrified railways. European Journal of Electrical Engineering / Revue internationale de génie électrique, 7(5), 52-57. https://doi.org/10.24018/ejece.2023.7.5.547

Electrification of the U.K. railway network will play a critical role in achieving targets of net-zero CO2 emissions while providing major benefits to train operators, passengers, and industry. In the drive to make electrification a more cost-effecti... Read More about A review and comparison of transformer and static frequency converter traction supply architectures for AC electrified railways.

Vadose zone water stable isotope profiles for assessing groundwater recharge: Sensitivity to seasonal soil sampling (2023)
Journal Article
Boumaiza, L., Chesnaux, R., Drias, T., Stotler, R. L., Skrzypek, G., Gillon, M., …Stumpp, C. (2023). Vadose zone water stable isotope profiles for assessing groundwater recharge: Sensitivity to seasonal soil sampling. Journal of Hydrology, 626(Part A), Article 130291. https://doi.org/10.1016/j.jhydrol.2023.130291

Groundwater recharge is widely recognized as being the most important parameter for the sustainable management of water resources. In semiarid environments, groundwater recharge can be quantified using the piston displacement method (PDM). From a sin... Read More about Vadose zone water stable isotope profiles for assessing groundwater recharge: Sensitivity to seasonal soil sampling.

Active stall flutter suppression for a revised Leishman-Beddoes Model (2023)
Journal Article
Zheng, J., Pontillo, A., Chen, L., & Whidborne, J. F. (2023). Active stall flutter suppression for a revised Leishman-Beddoes Model. Journal of Aerospace Engineering, 37(1), https://doi.org/10.1061/JAEEEZ.ASENG-5003

This paper proposes a nonlinear disturbance observer (NDO)-based sliding mode control (SMC) method to the problem of stall flutter suppression for a revised Leishman-Beddoes (L-B) model. To capture accurate aerodynamic characteristics whilst reducing... Read More about Active stall flutter suppression for a revised Leishman-Beddoes Model.

Mechanical assessment of novel compliant mechanisms for underactuated prosthetic hands (2023)
Journal Article
Ramos, O., de Arco, L., Cifuentes, C. A., Moazen, M., Wurdemann, H., & Múnera, M. (2023). Mechanical assessment of novel compliant mechanisms for underactuated prosthetic hands. Frontiers in Bioengineering and Biotechnology, 11, Article 985901. https://doi.org/10.3389/fbioe.2023.985901

This paper proposes novel compliant mechanisms for constructing hand prostheses based on soft robotics. Two models of prosthetic hands are developed in this work. Three mechanical evaluations are performed to determine the suitability of the two desi... Read More about Mechanical assessment of novel compliant mechanisms for underactuated prosthetic hands.

Quantifying the microstructural and biomechanical changes in the porcine ventricles during growth and remodelling (2023)
Journal Article
Ahmad, F., Soe, S., Albon, J., Errington, R., & Theobald, P. (2023). Quantifying the microstructural and biomechanical changes in the porcine ventricles during growth and remodelling. Acta Biomaterialia, 171, 166-192. https://doi.org/10.1016/j.actbio.2023.09.044

Cardiac tissue growth and remodelling (G & R) occur in response to the changing physiological demands of the heart after birth. The early shift to pulmonary circulation produces an immediate increase in ventricular workload, causing microstructural a... Read More about Quantifying the microstructural and biomechanical changes in the porcine ventricles during growth and remodelling.

Wake and power prediction of horizontal-axis wind farm under yaw-controlled conditions with machine learning (2023)
Journal Article
Nakhchi, M. E., Win Naung, S., & Rahmati, M. (2023). Wake and power prediction of horizontal-axis wind farm under yaw-controlled conditions with machine learning. Energy Conversion and Management, 296, https://doi.org/10.1016/j.enconman.2023.117708

The main objective of this study is to employ the Extreme Gradient Boosting (XGBoost) machine learning algorithm to predict the power, wake, and turbulent characteristics of horizontal-axis wind farms under yaw-controlled conditions. For this purpose... Read More about Wake and power prediction of horizontal-axis wind farm under yaw-controlled conditions with machine learning.

ANSYS investigation of solar photovoltaic temperature distribution for improved efficiency (2023)
Journal Article
Rousseau, P., & Nouri, H. (2023). ANSYS investigation of solar photovoltaic temperature distribution for improved efficiency. International Journal of Advances in Applied Science, 12(3), 293-300. https://doi.org/10.11591/ijaas

A computational analysis of the influence of varying solar module material properties on operating temperature is presented and related to electrical conversion efficiency through the devised method. By varying the properties of density, specific hea... Read More about ANSYS investigation of solar photovoltaic temperature distribution for improved efficiency.

Advancing dysphagia-oriented multi-ingredient meal development: Optimising hydrocolloid incorporation in 3D printed nutritious meals (2023)
Journal Article
Εkonomou, S., Hadnađev, M., Gioxari, A., Abosede, O. R., Soe, S., & Stratakos, A. C. (2024). Advancing dysphagia-oriented multi-ingredient meal development: Optimising hydrocolloid incorporation in 3D printed nutritious meals. Food Hydrocolloids, 147, 109300. https://doi.org/10.1016/j.foodhyd.2023.109300

Dysphagia (DP) is a growing health concern in today's ageing population, leading to high demand for DP-oriented food. 3D printing is a promising novel technology for developing new attractive and appetising products. Therefore, we aimed to develop a... Read More about Advancing dysphagia-oriented multi-ingredient meal development: Optimising hydrocolloid incorporation in 3D printed nutritious meals.

Mapping and synthesizing the viability of cement replacement materials via a systematic review and meta-analysis (2023)
Journal Article
Nukah, P. D., Abbey, S. J., Booth, C. A., & Nounu, G. (2023). Mapping and synthesizing the viability of cement replacement materials via a systematic review and meta-analysis. Construction and Building Materials, 405, Article 133290. https://doi.org/10.1016/j.conbuildmat.2023.133290

Supplementary cementitious materials (SCM) are alternative to the conventional cement and have been studied by so many authors owing to the high carbon content of cement. The use of SCM is significant in addressing challenges of carbon emission and i... Read More about Mapping and synthesizing the viability of cement replacement materials via a systematic review and meta-analysis.

Grasping detection of dual manipulators based on Markov decision process with neural network (2023)
Journal Article
Yun, J., Jiang, D., Huang, L., Tao, B., Liao, S., Liu, Y., …Chen, B. (2024). Grasping detection of dual manipulators based on Markov decision process with neural network. Neural Networks, 169, 778-792. https://doi.org/10.1016/j.neunet.2023.09.016

With the development of artificial intelligence, robots are widely used in various fields, grasping detection has been the focus of intelligent robot research. A dual manipulator grasping detection model based on Markov decision process is proposed t... Read More about Grasping detection of dual manipulators based on Markov decision process with neural network.

A simplified approach to estimate seismic vulnerability and damage scenarios including site effects. Application to the historical centre of Horta, Azores, Portugal (2023)
Journal Article
Chieffo, N., Ferreira, T. M., da Silva Vicente, R., Lourenço, P. B., & Formisano, A. (in press). A simplified approach to estimate seismic vulnerability and damage scenarios including site effects. Application to the historical centre of Horta, Azores, Portugal. Journal of Earthquake Engineering, https://doi.org/10.1080/13632469.2023.2254399

The research attempts to provide a method for evaluating the susceptibility of heritage buildings and potential damage considering local site effects, using as a case study an urban sector situated in Horta, Faial, Azores, Portugal. The physical vuln... Read More about A simplified approach to estimate seismic vulnerability and damage scenarios including site effects. Application to the historical centre of Horta, Azores, Portugal.

Investigation of the strain rate sensitivity of CoCrFeMnNiTix(x = 0, 0.3) high-entropy alloys using the shear punch test (2023)
Journal Article
González, S., Sfikas, A. K., Kamnis, S., John, S. E., Barnard, N. C., Gammer, C., …Lancaster, R. J. (2023). Investigation of the strain rate sensitivity of CoCrFeMnNiTix(x = 0, 0.3) high-entropy alloys using the shear punch test. Materials and Design, 233, Article 112294. https://doi.org/10.1016/j.matdes.2023.112294

High entropy alloys (HEAs) are a novel class of metallic materials that exhibit a unique blend of properties due to their chemical composition and atomic arrangement. This research aims to investigate the strain rate sensitivity (SRS) of two HEA CoCr... Read More about Investigation of the strain rate sensitivity of CoCrFeMnNiTix(x = 0, 0.3) high-entropy alloys using the shear punch test.

Ring attractors as the basis of a biomimetic navigation system (2023)
Journal Article
Knowles, T., Summerton, A., Whiting, J., & Pearson, M. J. (2023). Ring attractors as the basis of a biomimetic navigation system. Biomimetics, 8(5), Article 399. https://doi.org/10.3390/biomimetics8050399

The ability to navigate effectively in a rich and complex world is crucial for the survival of all animals. Specialist neural structures have evolved that are implicated in facilitating this ability, one such structure being the ring attractor networ... Read More about Ring attractors as the basis of a biomimetic navigation system.

A novel combined DTC method and SFOC system for three-phase induction machine drives with PWM switching method (2023)
Journal Article
Dahmardeh, H., Ghanbari, M., & Rakhtala, S. M. (2023). A novel combined DTC method and SFOC system for three-phase induction machine drives with PWM switching method. Journal of Operation and Automation in Power Engineering, 11(2), 76-82. https://doi.org/10.22098/JOAPE.2023.9717.1679

In this paper, a novel combined Direct Torque Control (DTC) method and Stator-Flux Oriented Control (SFOC) system to increase general performances of Three-Phase Induction Motor (TPIM) drives is proposed. The introduced control scheme includes merits... Read More about A novel combined DTC method and SFOC system for three-phase induction machine drives with PWM switching method.

Two iterative reweighted algorithms for systems contaminated by outliers (2023)
Journal Article
Chen, J., Hu, M., Liu, Y., & Zhu, Q. (2023). Two iterative reweighted algorithms for systems contaminated by outliers. IEEE Transactions on Instrumentation and Measurement, 72, https://doi.org/10.1109/tim.2023.3308255

This study proposes two iterative reweighted (IRE) algorithms for systems whose data are contaminated by outliers. For the negative effect caused by the outliers, traditional least squares (LSs) and gradient descent (GD) algorithms cannot obtain unbi... Read More about Two iterative reweighted algorithms for systems contaminated by outliers.