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Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder (2024)
Journal Article
Hasan, M. N., Jan, S. U., & Koo, I. (2024). Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder. Applied Sciences, 14(17), Article 7717. https://doi.org/10.3390/app14177717

The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio... Read More about Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Paper presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks (2024)
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks (2024)
Presentation / Conference Contribution
Huynh, D. V., Khosravirad, S. R., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2024, December). Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks. Paper presented at 2024 IEEE Global Communications Conference: Wireless Communications (GLOBECOM), Cape Town, South Africa

The advancement of sophisticated communication technologies and robust computing systems has unlocked opportunities for new applications across various domains. While these applications promise enhanced convenience and improved living standards, they... Read More about Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks.

Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains (2024)
Journal Article
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024). Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains. Electronics, 13(17), Article 3467. https://doi.org/10.3390/electronics13173467

In the evolving landscape of the Internet of Things (IoT), ensuring the security and integrity of data transmission remains a paramount challenge. Routing Protocol for Low-Power and Lossy Networks (RPL) is commonly utilized in IoT networks to facili... Read More about Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains.

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning (2024)
Journal Article
Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Al-Dubai, A., Arslan, T., & Hussain, A. (online). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/tfuzz.2024.3435050

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech compre... Read More about Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning.

Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum (2024)
Journal Article
Schuuring, M. J., Treskes, R. W., Castiello, T., Jensen, M. T., Casado-Arroyo, R., Neubeck, L., Lyon, A. R., Keser, N., Rucinski, M., Marketou, M., Lambrinou, E., Volterrani, M., & Hill, L. (online). Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum. European Heart Journal – Digital Health, Article ztae064. https://doi.org/10.1093/ehjdh/ztae064

The 2021 European Society of Cardiology guideline on diagnosis and treatment of acute and chronic heart failure (HF) and the 2023 Focused Update include recommendations on the pharmacotherapy for patients with New York Heart Association (NYHA) class... Read More about Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum.

The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane (2024)
Journal Article
Elnabawy, E., Sun, D., Shearer, N., & Shyha, I. (2024). The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane. Polymer, 311, Article 127553. https://doi.org/10.1016/j.polymer.2024.127553

Electro-blow spinning represents a novel and emerging hybridised technology for producing high-quality, large-scale nanofibers. The applied pressure, accompanied by an electric field, functions as a drafting force to generate ultrafine, homogeneous n... Read More about The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane.

Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry (2024)
Presentation / Conference Contribution
Marzano, A., & Caggiano, A. (2024, July). Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry. Presented at 18th CIRP ICME '24 Conference, Ischia, Italy

This paper presents a complete digital twin framework with the purpose to aid manufacturing ergonomics and control operations in distillery industry. The focus is on the design of a digital twin framework that manages the material flow in the real sy... Read More about Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Journal Article
Janjua, A. A., Younas, M., Ilyas, R. A., Shyha, I., Faisal, N. H., Inam, F., & Saharudin, M. S. (2024). Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites. Journal of Composites Science, 8(9), Article 340. https://doi.org/10.3390/jcs8090340

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers (2024)
Journal Article
Mudunkotuwa, R., Ji, M., Peiris, T. S. G., Bandara, Y. M., & Netirith, N. (online). Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers. Maritime Economics and Logistics, https://doi.org/10.1057/s41278-024-00301-4

The demand for port services is intricately tied to international trade between production centers and the global market. This paper introduces a unique econometric forecasting model tailored to predict container port throughput at a transshipment hu... Read More about Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers.

People with long-term conditions are more adherent to protective behaviours against infectious disease (2024)
Journal Article
Hubbard, G., Dixon, D., Johnston, M., & den Daas, C. (2024). People with long-term conditions are more adherent to protective behaviours against infectious disease. Public Health in Practice, 8, Article 100538. https://doi.org/10.1016/j.puhip.2024.100538

Objectives
To investigate the relationship between long-term condition (LTC) status and adherence to protective behaviours against infectious disease (face covering, physical distancing, hand hygiene).
Study design
Representative cross-sectional o... Read More about People with long-term conditions are more adherent to protective behaviours against infectious disease.

Charting sustainable urban development through a systematic review of SDG11 research (2024)
Journal Article
Almulhim, A. I., Sharifi, A., Aina, Y. A., Ahmad, S., Mora, L., Filho, W. L., & Abubakar, I. R. (2024). Charting sustainable urban development through a systematic review of SDG11 research. Nature Cities, 1(10), 677-685. https://doi.org/10.1038/s44284-024-00117-6

The Sustainable Development Goal (SDG) 11 underscores the imperative of creating inclusive, safe, resilient and sustainable cities and communities by 2030. Here we employ bibliometric techniques to assess the evolving landscape of SDG11 research. Usi... Read More about Charting sustainable urban development through a systematic review of SDG11 research.

Navigating the Impact of Digital Technologies on the Multigenerational Workforce in the Post-Covid Work Environment (2024)
Book Chapter
Doargajudhur, M., & Baboo, S. (in press). Navigating the Impact of Digital Technologies on the Multigenerational Workforce in the Post-Covid Work Environment. In M. Anshari, M. Nabil Almunawar, & P. Ordóñez de Pablos (Eds.), Impacts of Digital Technologies Across Generations. IGI Global. https://doi.org/10.4018/979-8-3693-6366-9

In the wake of the pandemic, the workplace dynamics has changed significantly, particularly, the integration of digital technologies. The new workplace is also experiencing changes in its demographics as this is the first time in history that five ge... Read More about Navigating the Impact of Digital Technologies on the Multigenerational Workforce in the Post-Covid Work Environment.

Return and volatility connectedness between agricultural tokens and us equity sectors (2024)
Journal Article
Ali, A., Yousfi, M., Chughtai, S., & Min Du, A. (2024). Return and volatility connectedness between agricultural tokens and us equity sectors. Research in International Business and Finance, 72(Part B), 102544. https://doi.org/10.1016/j.ribaf.2024.102544

This study investigates the return and volatility interconnectedness between emerging digital assets, specifically agricultural tokens, and U.S. equity sectors using the TVP-VAR model. Analyzing data from August 7, 2020, to January 2, 2024, the findi... Read More about Return and volatility connectedness between agricultural tokens and us equity sectors.

Interplay between oil prices, country risks, and stock returns in the context of global conflict: A PVAR approach (2024)
Journal Article
Dong, Q., Du, Q., & Min Du, A. (2024). Interplay between oil prices, country risks, and stock returns in the context of global conflict: A PVAR approach. Research in International Business and Finance, 72(Part B), 102545. https://doi.org/10.1016/j.ribaf.2024.102545

Employing the panel vector autoregressive (PVAR) modeling, we analyze the interplay among oil prices, country risks, and stock returns across twenty-nine economies from February 2005 to August 2020. We find that, in the short run, rising oil prices t... Read More about Interplay between oil prices, country risks, and stock returns in the context of global conflict: A PVAR approach.

How Does the Digital Economy Affect the Green Transition: The Role of Industrial Intelligence and E-Commerce (2024)
Journal Article
Huang, C., Min Du, A., & Lin, B. (2025). How Does the Digital Economy Affect the Green Transition: The Role of Industrial Intelligence and E-Commerce. Research in International Business and Finance, 73(Part A), Article 102541. https://doi.org/10.1016/j.ribaf.2024.102541

As a new economic form, the digital economy (DE) significantly impacts green development. However, the impact of the DE on green total factor productivity (GTFP) remains controversial. A two-way fixed effect model is constructed to explore the impact... Read More about How Does the Digital Economy Affect the Green Transition: The Role of Industrial Intelligence and E-Commerce.