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An efficient message passing algorithm for decentrally controlling complex systems (2021)
Journal Article
Herzallah, R., & Zhou, Y. (2023). An efficient message passing algorithm for decentrally controlling complex systems. International Journal of Control, 96(3), 719-730. https://doi.org/10.1080/00207179.2021.2011422

This paper proposes a decentralised stochastic control framework for a class of large-scale and complex dynamic networks. The proposed framework describes a decentralised probabilistic control and message passing architecture of mutually interacting... Read More about An efficient message passing algorithm for decentrally controlling complex systems.

The emergence of concentrator photovoltaics for perovskite solar cells (2021)
Journal Article
Sadhukhan, P., Roy, A., Sengupta, P., Das, S., Mallick, T. K., Nazeeruddin, M. K., & Sundaram, S. (2021). The emergence of concentrator photovoltaics for perovskite solar cells. Applied Physics Reviews, 8(4), Article 041324. https://doi.org/10.1063/5.0062671

The emergence of high-efficiency photovoltaic research is undergoing intense study and is technologically desirable to meet sustainable energy and environmental demand. However, every single solar cell has a theoretical power conversion efficiency li... Read More about The emergence of concentrator photovoltaics for perovskite solar cells.

An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars (2021)
Journal Article
Wu, H., Liu, Q., Liu, X., Zhang, Y., & Yang, Z. (2022). An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars. World Wide Web, 25, 1923-1949. https://doi.org/10.1007/s11280-021-00988-y

Internet of Things (IoT) has been rapidly developed in recent years, being well applied in the fields of Environmental Surveillance, Smart Grid, Intelligent Transportation, and so on. As one of the typical earth-based meteorological observation metho... Read More about An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars.

Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses of Integrated Solar-Assisted Gasification Cycle for Producing Power and Steam from Heavy Refinery Fuels (2021)
Journal Article
Jadidi, E., Khoshgoftar Manesh, M. H., Delpisheh, M., & Onishi, V. C. (2021). Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses of Integrated Solar-Assisted Gasification Cycle for Producing Power and Steam from Heavy Refinery Fuels. Energies, 14(24), Article 8409. https://doi.org/10.3390/en14248409

Integrated solar-assisted gasification cycles (ISGC) have emerged as a more flexible and environmentally friendly solution for producing power, steam, and other high-valued by-products from low-cost opportunity fuels. In this light, this paper invest... Read More about Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses of Integrated Solar-Assisted Gasification Cycle for Producing Power and Steam from Heavy Refinery Fuels.

Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning (2021)
Journal Article
Hart, E., & Le Goff, L. K. (2022). Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning. Philosophical Transactions B: Biological Sciences, 377(1843), https://doi.org/10.1098/rstb.2021.0117

We survey and reflect on evolutionary approaches to the joint optimisation of the body and control of a robot, in scenarios where a the goal is to find a design that maximises performance on a specified task. The review is grounded in a general frame... Read More about Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning.

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning (2021)
Journal Article
Spinelli, I., Scardapane, S., Hussain, A., & Uncini, A. (2022). FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Transactions on Artificial Intelligence, 3(3), 344-354. https://doi.org/10.1109/tai.2021.3133818

Graph representation learning has become a ubiquitous component in many scenarios, ranging from social network analysis to energy forecasting in smart grids. In several applications, ensuring the fairness of the node (or graph) representations with r... Read More about FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

Significantly reduced conductivity in strontium titanate-based lead-free ceramics by excess bismuth (2021)
Journal Article
Wang, Y., Liu, H., Yan, T., Zhao, J., Li, J., Guo, S., Sun, S., Sun, R., Lu, Z., & Wang, D. (2022). Significantly reduced conductivity in strontium titanate-based lead-free ceramics by excess bismuth. Materials Letters, 309, Article 131453. https://doi.org/10.1016/j.matlet.2021.131453

Lead-free dielectric ceramics 0.75SrTiO3-0.25BiFeO3 (ST-BF) with an extra amount of bismuth (Bi) are synthesized by the conventional solid-state reaction method. The crystal structures of ST-BF retain pseudo-cubic phase as Bi content increases. The g... Read More about Significantly reduced conductivity in strontium titanate-based lead-free ceramics by excess bismuth.

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring (2021)
Journal Article
Rajagopal, T., Balakrishnan, A., Valsalakumar, S., Rajagopal, T., & Sundaram, S. (2021). Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring. Energies, 14(24), Article 8255. https://doi.org/10.3390/en14248255

The impact of multimedia in day-to-day life and its applications will be increased greatly with the proposed model (MSVPC)–5G Multicast SDN network eminence video transmission obtained using PSO and cross layer progress in wireless nodes. The drone i... Read More about Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring.

Machinability investigation of polymer/GNP nanocomposites in micro-milling (2021)
Journal Article
Fu, G., Huo, D., Shyha, I., Sun, F., & Gao, Q. (2022). Machinability investigation of polymer/GNP nanocomposites in micro-milling. International Journal of Advanced Manufacturing Technology, 119, 2341-2353. https://doi.org/10.1007/s00170-021-08471-8

Nanoparticles such as graphene have been added to various polymer matrices to enhance the mechanical, thermal, and electrical properties of polymer materials that require complex designs on a microscopic scale. Micro-machining is used to process thes... Read More about Machinability investigation of polymer/GNP nanocomposites in micro-milling.

Design as a Marked Point Process (2021)
Journal Article
Quigley, J., Vasantha, G., Corney, J., Purves, D., & Sherlock, A. (2022). Design as a Marked Point Process. Journal of Mechanical Design, 144(2), Article 021713. https://doi.org/10.1115/1.4052844

Although AI systems which support composition using predictive text are well established there are no analogous technologies for mechanical design. Motivated by the vision of a predictive system that interactively suggests features to designer, this... Read More about Design as a Marked Point Process.

Evaluation of Viscosity Dependence of the Critical Meniscus Height with Optical Fiber Sensors (2021)
Journal Article
Binetti, L., Simpson, F., & Alwis, L. S. M. (2021). Evaluation of Viscosity Dependence of the Critical Meniscus Height with Optical Fiber Sensors. Sensors, 21(23), Article 8130. https://doi.org/10.3390/s21238130

Conventional means of data extraction using optical fiber interrogators are not adequate for fast-paced detection of a target parameter. In this instance, the relationship between the critical meniscus heights (CMH) of several liquids to the extracti... Read More about Evaluation of Viscosity Dependence of the Critical Meniscus Height with Optical Fiber Sensors.

Cotton soot derived carbon nanoparticles for NiO supported processing temperature tuned ambient perovskite solar cells (2021)
Journal Article
Bhandari, S., Roy, A., Ali, M. S., Mallick, T. K., & Sundaram, S. (2021). Cotton soot derived carbon nanoparticles for NiO supported processing temperature tuned ambient perovskite solar cells. Scientific Reports, 11, Article 23388. https://doi.org/10.1038/s41598-021-02796-w

The emergence of perovskite solar cells (PSCs) in a "catfish effect" of other conventional photovoltaic technologies with the massive growth of high-power conversion efficiency (PCE) has given a new direction to the entire solar energy field. Replaci... Read More about Cotton soot derived carbon nanoparticles for NiO supported processing temperature tuned ambient perovskite solar cells.

Participatory design in refugee camps: Ethnographic case studies from Greece (2021)
Journal Article
Jaradat, S., & Beunders, N. (2023). Participatory design in refugee camps: Ethnographic case studies from Greece. Engineering, Construction and Architectural Management, 30(3), 1080-1097. https://doi.org/10.1108/ecam-04-2021-0328

Purpose Architectural management and construction practices have not been widely explored in refugee camps which have been growing exponentially around the world. Previous research largely focused on the negativity surrounding living in refugee camp... Read More about Participatory design in refugee camps: Ethnographic case studies from Greece.

Browsers’ Private Mode: Is It What We Were Promised? (2021)
Journal Article
Hughes, K., Papadopoulos, P., Pitropakis, N., Smales, A., Ahmad, J., & Buchanan, W. J. (2021). Browsers’ Private Mode: Is It What We Were Promised?. Computers, 10(12), Article 165. https://doi.org/10.3390/computers10120165

Web browsers are one of the most used applications on every computational device in our days. Hence, they play a pivotal role in any forensic investigation and help determine if nefarious or suspicious activity has occurred on that device. Our study... Read More about Browsers’ Private Mode: Is It What We Were Promised?.

A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications (2021)
Journal Article
Zhao, H., Peng, L., Wu, P., & Yu, H. (2022). A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 236(5), 1038-1048. https://doi.org/10.1177/09596518211060976

This article proposes a novel distributed data-driven bipartite consensus tracking scheme for bipartite consensus tracking problems of multi-agent systems with bounded disturbances and coopetition networks. The proposed scheme only uses the input/out... Read More about A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications.

On the ergodic Waring–Goldbach problem (2021)
Journal Article
Anderson, T. C., Cook, B., Hughes, K., & Kumchev, A. (2022). On the ergodic Waring–Goldbach problem. Journal of Functional Analysis, 282(5), Article 109334. https://doi.org/10.1016/j.jfa.2021.109334

We prove an asymptotic formula for the Fourier transform of the arithmetic surface measure associated to the Waring–Goldbach problem and provide several applications, including bounds for discrete spherical maximal functions along the primes and dist... Read More about On the ergodic Waring–Goldbach problem.

Attributes Guided Feature Learning for Vehicle Re-Identification (2021)
Journal Article
Li, H., Lin, X., Zheng, A., Li, C., Luo, B., He, R., & Hussain, A. (2022). Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1211-1221. https://doi.org/10.1109/tetci.2021.3127906

Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class variation caused by view variations and illumination changes, and inter-cla... Read More about Attributes Guided Feature Learning for Vehicle Re-Identification.

Study on Crack Width and Crack Resistance of Eccentrically Tensioned Steel-Reinforced Concrete Members Prestressed by CFRP Tendons (2021)
Journal Article
Deng, Y., Gui, J., Zhang, H., Taliercio, A., Zhang, P., Wong, S. H. F., Sukontasukkul, P., Khan, A., Li, L., Tang, Y., & Chen, X. (2022). Study on Crack Width and Crack Resistance of Eccentrically Tensioned Steel-Reinforced Concrete Members Prestressed by CFRP Tendons. Engineering Structures, 252, Article 113651. https://doi.org/10.1016/j.engstruct.2021.113651

In recent decades, steel-reinforced concrete (SRC) members under eccentrical tension have been adopted more frequently in modern buildings due to the constraints of more complex structural design/detailing that accompanying contemporary architectural... Read More about Study on Crack Width and Crack Resistance of Eccentrically Tensioned Steel-Reinforced Concrete Members Prestressed by CFRP Tendons.