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Neural networks predicting microbial fuel cells output for soft robotics applications (2021)
Journal Article
Tsompanas, M., You, J., Philamore, H., Rossiter, J., & Ieropoulos, I. (2021). Neural networks predicting microbial fuel cells output for soft robotics applications. Frontiers in Robotics and AI, 8, https://doi.org/10.3389/frobt.2021.633414

The development of biodegradable soft robotics requires an appropriate eco-friendly source of energy. The use of Microbial Fuel Cells (MFCs) is suggested as they can be designed completely from soft materials with little or no negative effects to the... Read More about Neural networks predicting microbial fuel cells output for soft robotics applications.

Blockchain and artificial intelligence – Managing a secure and sustainable supply chain (2021)
Book Chapter
Pimenidis, E., Patsavellas, J., & Tonkin, M. (in press). Blockchain and artificial intelligence – Managing a secure and sustainable supply chain. In H. Jahankhani, A. Jamal, & S. Lawson (Eds.), Cybersecurity, Privacy and Freedom Protection in the Connected World. (1). Springer. https://doi.org/10.1007/978-3-030-68534-8

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services. Regardless of whether the operations are mostly physical or online, managing supply chains largely relies on being able t... Read More about Blockchain and artificial intelligence – Managing a secure and sustainable supply chain.

Living wearables from slime mould and fungi (2021)
Journal Article
Adamatzky, A., Nikolaidou, A., Gandia, A., & Chiolerio, A. (2021). Living wearables from slime mould and fungi. LINKs-series, 93-98

Smart wearables, augmented with soft and liquid electronics, can display sensing, responsive and adaptive capabilities, but they cannot self-grow or self-repair. Living organisms colonising a fabric could be a viable alternative. In the present artic... Read More about Living wearables from slime mould and fungi.

Deep learning-based security behaviour analysis in IoT environments: A survey (2021)
Journal Article
Yue, Y., Li, S., Legg, P., & Li, F. (2021). Deep learning-based security behaviour analysis in IoT environments: A survey. Security and Communication Networks, 2021, 1-13. https://doi.org/10.1155/2021/8873195

Internet of Things (IoT) applications have been used in a wide variety of domains ranging from smart home, healthcare, smart energy, and Industrial 4.0. While IoT brings a number of benefits including convenience and efficiency, it also introduces a... Read More about Deep learning-based security behaviour analysis in IoT environments: A survey.

Towards a multilingual, cross-cultural and student-led software engineering lectures in UK Higher Education (2021)
Conference Proceeding
Ramachandran, R., & Ogunshile, E. (2021). Towards a multilingual, cross-cultural and student-led software engineering lectures in UK Higher Education. https://doi.org/10.1145/3437914.3437978

This work attempts to present a novel approach to deliver software engineering lectorial sessions. The work primarily focuses on increasing student engagement by taking a multilingual and cross-cultural approach where students take the lead. The desi... Read More about Towards a multilingual, cross-cultural and student-led software engineering lectures in UK Higher Education.

Reactive fungal wearable (2021)
Journal Article
Adamatzky, A., Nikolaidou, A., Gandia, A., Chiolerio, A., & Dehshibi, M. M. (2021). Reactive fungal wearable. BioSystems, 199, https://doi.org/10.1016/j.biosystems.2020.104304

Smart wearables sense and process information from the user’s body and environment and report results of their analysis as electrical signals. Conventional electronic sensors and controllers are commonly, sometimes augmented by recent advances in sof... Read More about Reactive fungal wearable.

In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times (2020)
Journal Article
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2020). In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times. Computer Methods and Programs in Biomedicine, 200, https://doi.org/10.1016/j.cmpb.2020.105886

© 2020 The Author(s) Background and Objective: Cancer tumors constitute a complicated environment for conventional anti-cancer treatments to confront, so solutions with higher complexity and, thus, robustness to diverse conditions are required. Alter... Read More about In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times.

Elicitation of the factors affecting electricity distribution efficiency using the fuzzy AHP method (2020)
Journal Article
Yiğit, V., Demir, N. N., Alidrisi, H., & Aydin, M. E. (2020). Elicitation of the factors affecting electricity distribution efficiency using the fuzzy AHP method. Mathematics, 9(1), 1-25. https://doi.org/10.3390/math9010082

Efficient and uninterrupted energy supply plays a crucial role in the quality of modern daily life, while it is obvious that the efficiency and performance of energy supply companies has a significant impact on energy supply itself and on determining... Read More about Elicitation of the factors affecting electricity distribution efficiency using the fuzzy AHP method.

Audio Anywhere with Faust (2020)
Conference Proceeding
Gaster, B. R., & Cole, M. (2020). Audio Anywhere with Faust

This paper introduces \emph{Audio Anywhere} (\emph{AA}), a framework for working with audio plugins that are compiled once and run anywhere. At the heart of Audio Anywhere is an audio engine whose Digital Signal Processing (DSP) components are writte... Read More about Audio Anywhere with Faust.

Fixed bearing, all-polyethylene 4bia, lateral unicompartmental arthroplasty - a final out-come study with up to 28 year follow-up of a single implant (2020)
Journal Article
Murray, J., Smith, J., Bray, R., Robinson, J., White, P., & Porteous, A. (in press). Fixed bearing, all-polyethylene 4bia, lateral unicompartmental arthroplasty - a final out-come study with up to 28 year follow-up of a single implant. Knee,

Background: Lateral unicompartmental arthroplasty (UKA) constitutes only 5-10% of all unicompartmental replacements performed. Whilst the short and medium term benefits are well documented, there remains concern regarding the higher revision rate wh... Read More about Fixed bearing, all-polyethylene 4bia, lateral unicompartmental arthroplasty - a final out-come study with up to 28 year follow-up of a single implant.

Adaptive binary artificial bee colony algorithm (2020)
Journal Article
Durgut, R., & Aydin, M. E. (2021). Adaptive binary artificial bee colony algorithm. Applied Soft Computing, 101, https://doi.org/10.1016/j.asoc.2020.107054

Metaheuristics and swarm intelligence algorithms are bio-inspired algorithms, which have long standing track record of success in problem solving. Due to the nature and the complexity of the problems, problem solving approaches may not achieve the sa... Read More about Adaptive binary artificial bee colony algorithm.

Using active learning to understand the videoconference experience: A case study (2020)
Conference Proceeding
Llewellyn, S., Simons, C., & Smith, J. (2020). Using active learning to understand the videoconference experience: A case study. https://doi.org/10.1007/978-3-030-63799-6_30

Videoconferencing is becoming ubiquitous, especially so during the COVID-19 pandemic. However, user experience of a videoconference call can be variable. To better understand and classify the performance of videoconference call systems, this paper re... Read More about Using active learning to understand the videoconference experience: A case study.

Harnessing adaptive novelty for automated generation of cancer treatments (2020)
Journal Article
Balaz, I., Petrić, T., Kovacevic, M., Tsompanas, M. A., & Stillman, N. (2021). Harnessing adaptive novelty for automated generation of cancer treatments. BioSystems, 199, https://doi.org/10.1016/j.biosystems.2020.104290

© 2020 The Authors Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles of drugs, thereby enhancing their therapeutic effect. The versatility of nanoparticles allows for a wide range of customization poss... Read More about Harnessing adaptive novelty for automated generation of cancer treatments.

Christian engagement with the UN Sustainable Development Goals (2020)
Presentation / Conference
Brooks, I. (2020, November). Christian engagement with the UN Sustainable Development Goals. Presented at Christian Rural and Environmental Studies, Online

Conference report on research into the state of Christian engagement with the United Nations Sustainable Development Goals (SDGs) (Focus on the UK). Reports on interviews with stakeholders and quantitative research using page counts on church web do... Read More about Christian engagement with the UN Sustainable Development Goals.

Assessing a decision support tool for SOC analysts (2020)
Journal Article
Happa, J., Helmhout, M., Philips, R., Thomas Bashford-Rogers, N. L., Goldsmith, M., Creese, S., …Goldsmith, M. (in press). Assessing a decision support tool for SOC analysts. Digital Threats: Research and Practice, 9(4),

It is difficult to discern real-world consequences of attacks on an enterprise when investigating network-centric data alone. In recent years, many tools have been developed to help understand attacks using visualization, but few aim to predict real-... Read More about Assessing a decision support tool for SOC analysts.

An ontology-based compliance audit framework for medical data sharing across Europe (2020)
Journal Article
Boussi Rahmouni, H., & Munir, K. (in press). An ontology-based compliance audit framework for medical data sharing across Europe. International Arab Journal of Information Technology,

Complying with privacy in multi-jurisdictional health domains is important as well as challenging. The compliance management process will not be efficient unless it manages to show evidences of explicit verification of legal requirements. In order to... Read More about An ontology-based compliance audit framework for medical data sharing across Europe.

Max-gain relay selection scheme for wireless networks (2020)
Journal Article
Ullah, S., Malik, M. H., Tuysuz, M. F., Hasnain, M., & Aydin, M. E. (2021). Max-gain relay selection scheme for wireless networks. International Journal of Engineering Science and Technology, 24(1), 183-191. https://doi.org/10.1016/j.jestch.2020.08.009

© 2020 Karabuk University Next generation wireless systems are supposed to handle high amount of data with broader coverage and high quality of service (QoS). When a signal travels from a source to destination, the signal quality may suffer from the... Read More about Max-gain relay selection scheme for wireless networks.