All Outputs (130)

Protein structured reservoir computing for spike-based pattern recognition (2021)
Journal Article
Tsakalos, K., Ch. Sirakoulis, G., Adamatzky, A., & Smith, J. (2022). Protein structured reservoir computing for spike-based pattern recognition. IEEE Transactions on Parallel and Distributed Systems, 33(2), 322 - 331. https://doi.org/10.1109/TPDS.2021.3068826

Nowadays we witness a miniaturisation trend in the semiconductor industry backed up by groundbreaking discoveries and designs in nanoscale characterisation and fabrication. To facilitate the trend and produce ever smaller, faster and cheaper computin... Read More about Protein structured reservoir computing for spike-based pattern recognition.

Solving set union knapsack problems with adaptive binary artificial bee colony (2021)
Journal Article
Durgut, R., Yavuz, İ., & Aydin, M. (2021). Solving set union knapsack problems with adaptive binary artificial bee colony. Journal of Intelligent Systems: Theory and Applications, 4(1), 43-54. https://doi.org/10.38016/jista.854584

Meta-heuristic and swarm intelligence algorithms have long been used to provide approximate solutions to NP-Hard optimization problems. Especially when it comes to combinatorial and binary problems, operator functions used to generate neighbor soluti... Read More about Solving set union knapsack problems with adaptive binary artificial bee colony.

IPv6 cryptographically generated address: Analysis, optimization and protection (2021)
Journal Article
Ahmed, A. S., Hassan, R., Qamar, F., & Malik, M. (2021). IPv6 cryptographically generated address: Analysis, optimization and protection. Computers, Materials & Continua, 68(1), 247-265. https://doi.org/10.32604/cmc.2021.014233

In networking, one major difficulty that nodes suffer from is the need for their addresses to be generated and verified without relying on a third party or public authorized servers. To resolve this issue, the use of selfcertifying addresses have bec... Read More about IPv6 cryptographically generated address: Analysis, optimization and protection.

COVID-19 and learning styles: GCET as case study (2021)
Journal Article
Malik, M. H., Amjed, S., & Hasani, S. (2021). COVID-19 and learning styles: GCET as case study. Computers, Materials & Continua, 68(1), 103-115. https://doi.org/10.32604/cmc.2021.014562

The COVID-19 pandemic has caused higher educational institutions around the world to close campus-based activities and move to online delivery. The aim of this paper is to present the case of Global College of Engineering and Technology (GCET) and ho... Read More about COVID-19 and learning styles: GCET as case study.

A comprehensive framework from real-time prognostics to maintenance decisions (2021)
Journal Article
Jain, A., Dhada, M., Hernandez, M. P., Herrera, M., & Parlikad, A. (2021). A comprehensive framework from real-time prognostics to maintenance decisions. IET Collaborative Intelligent Manufacturing, 3(2), 175-183. https://doi.org/10.1049/cim2.12021

Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory-based prognostics module employing... Read More about A comprehensive framework from real-time prognostics to maintenance decisions.

The video game asset pipeline - A pattern approach to visualization (2021)
Thesis
Lear, J. The video game asset pipeline - A pattern approach to visualization. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/6844257

Video games consist of virtual worlds modelled as an approximation of either a real or imaginary environment. The amount of content required to populate the environments for Triple-A (AAA) video games doubles every few years to satisfy the expectatio... Read More about The video game asset pipeline - A pattern approach to visualization.

The dynamics of procalcitonin in COVID-19 patients admitted to Intensive care unit - a multi-centre cohort study in the South West of England, UK. (2021)
Journal Article
Williams, P., McWilliams, C., Soomro, K., Harding, I., Gurney, S., Thomas, M., …Martin Williams, O. (2021). The dynamics of procalcitonin in COVID-19 patients admitted to Intensive care unit - a multi-centre cohort study in the South West of England, UK. Journal of Infection, 82(6), E24-E26. https://doi.org/10.1016/j.jinf.2021.03.011

Metameric representations on optimization of nano particle cancer treatment (2021)
Journal Article
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2021). Metameric representations on optimization of nano particle cancer treatment. Biocybernetics and Biomedical Engineering, 41(2), 352-361. https://doi.org/10.1016/j.bbe.2021.02.002

In silico evolutionary optimization of cancer treatment based on multiple nano-particle (NP) assisted drug delivery systems was investigated in this study. The use of multiple types of NPs is expected to increase the robustness of the treatment, due... Read More about Metameric representations on optimization of nano particle cancer treatment.

Automated essay scoring (AES); A semantic analysis inspired machine learning approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research (2021)
Conference Proceeding
Ikram, A., & Castle, B. (2021). Automated essay scoring (AES); A semantic analysis inspired machine learning approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research. In ICETC '20: Proceedings of the 12th International Conference on Education Technology and Computers (147-151). https://doi.org/10.1145/3436756.3437036

With the advancements in Artificial Intelligence (AI), ‘Automated Essay Scoring’ (AES) systems have become more and more prevalent in recent years. This research proposes an extension to the Coh-Metrix algorithm AES, with a focus on feature lists. Te... Read More about Automated essay scoring (AES); A semantic analysis inspired machine learning approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research.

Neural networks predicting microbial fuel cells output for soft robotics applications (2021)
Journal Article
Tsompanas, M. A., 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, Article 633414. 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.

An ontology-based compliance audit framework for medical data sharing across Europe (2021)
Journal Article
Boussi Rahmouni, H., & Munir, K. (2021). An ontology-based compliance audit framework for medical data sharing across Europe. International Arab Journal of Information Technology, 18(2), 158-169

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.

IoT technologies for livestock management: A review of present status, opportunities, and future trends (2021)
Journal Article
Akhigbe, B. I., Munir, K., Akinade, O., Akanbi, L., & Oyedele, L. O. (2021). IoT technologies for livestock management: A review of present status, opportunities, and future trends. Big Data and Cognitive Computing, 5(1), Article 10. https://doi.org/10.3390/bdcc5010010

The world population currently stands at about 7 billion amidst an expected increase in 2030 from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to influence the upward demand for animal food. Moreover, the managem... Read More about IoT technologies for livestock management: A review of present status, opportunities, and future trends.

Model-based prediction of oncotherapy risks and side effects in bladder cancer (2021)
Journal Article
Barki, C., Rahmouni, H., & Labidi, S. (2021). Model-based prediction of oncotherapy risks and side effects in bladder cancer. Procedia Computer Science, 818-826. https://doi.org/10.1016/j.procs.2021.01.235

The prediction of cancer treatment side-effects requires the capturing of complex biophysical therapy parameters and the integration of different medical knowledge elements. In relation with radiotherapy, it is widely observed that the uncontrolled p... Read More about Model-based prediction of oncotherapy risks and side effects in bladder cancer.

Fixed bearing, all-polyethylene tibia, lateral unicompartmental arthroplasty – A final outcome study with up to 28 year follow-up of a single implant (2021)
Journal Article
Murray, J. R., Smith, J. R., Bray, R., Robinson, J. R., White, P., & Porteous, A. J. (2021). Fixed bearing, all-polyethylene tibia, lateral unicompartmental arthroplasty – A final outcome study with up to 28 year follow-up of a single implant. Knee, 29, 101-109. https://doi.org/10.1016/j.knee.2020.12.032

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 whe... Read More about Fixed bearing, all-polyethylene tibia, lateral unicompartmental arthroplasty – A final outcome study with up to 28 year follow-up of a single implant.

Triangle area based multivariate correlation analysis for detecting and mitigating cache pollution attacks in named data networking (2021)
Conference Proceeding
Sohail, M., Zheng, Q., Rezaiefar, Z., Khan, M. A., Ullah, R., Tan, X., …Yuan, L. (2021). Triangle area based multivariate correlation analysis for detecting and mitigating cache pollution attacks in named data networking. In 2020 3rd International Conference on Hot Information-Centric Networking (HotICN) (114-121). https://doi.org/10.1109/HotICN50779.2020.9350746

The key feature of NDN is in-network caching that every router has its cache to store data for future use, thus improve the usage of the network bandwidth and reduce the network latency. However, in-network caching increases the security risks - cach... Read More about Triangle area based multivariate correlation analysis for detecting and mitigating cache pollution attacks in named data networking.

Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges (2021)
Journal Article
Majeed, U., Khan, L. U., Yaqoob, I., Kazmi, S. A., Salah, K., & Hong, C. S. (2021). Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges. Journal of Network and Computer Applications, 181, Article 103007. https://doi.org/10.1016/j.jnca.2021.103007

A remarkable interest in the Internet of Things (IoT)-based smart cities from both academia and industry has been observed in recent years. Smart cities can offer various smart applications such as intelligent transportation, industry 4.0, smart bank... Read More about Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges.

The rhythm of the robot: A prolegomenon to posthuman somaesthetics (2021)
Conference Proceeding
Belling, A. S., & Buzzo, D. (2021). The rhythm of the robot: A prolegomenon to posthuman somaesthetics. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (1-6). https://doi.org/10.1145/3430524.3442470

This work-in-progress paper describes an investigation into the somaesthetic qualities of exploring posthuman strategies and relations with technology. This was done through bodystorming and physical prototyping, casting soft robots directly onto the... Read More about The rhythm of the robot: A prolegomenon to posthuman somaesthetics.

Relaxing platform dependencies in agent-based control systems (2021)
Journal Article
Hernandez, M. P., Mcfarlane, D., Parlikad, A., Herrera, M., & Jain, A. (2021). Relaxing platform dependencies in agent-based control systems. IEEE Access, 9, 30511-30527. https://doi.org/10.1109/ACCESS.2021.3059273

Agent-based systems have been widely used to develop industrial control systems when they are required to address issues such as flexibility, scalability and portability. The most common approach to develop such control systems is with agents embedde... Read More about Relaxing platform dependencies in agent-based control systems.

Multiple pursuers TrailMax algorithm for dynamic environments (2021)
Conference Proceeding
Afzalov, A., Lotfi, A., Inden, B., & Aydin, M. (2021). Multiple pursuers TrailMax algorithm for dynamic environments. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART (437-443). https://doi.org/10.5220/0010392404370443

Multi-agent multi-target search problems, where the targets are capable of movement, require sophisticated algorithms for near-optimal performance. While there are several algorithms for agent control, comparatively less attention has been paid to ne... Read More about Multiple pursuers TrailMax algorithm for dynamic environments.

Trajectory outlier detection: New problems and solutions for smart cities (2021)
Journal Article
Djenouri, Y., Djenouri, D., & Chun-Wei Lin, J. (2021). Trajectory outlier detection: New problems and solutions for smart cities. ACM Transactions on Knowledge Discovery from Data, 15(2), Article 20. https://doi.org/10.1145/3425867

This article introduces two new problems related to trajectory outlier detection: (1) group trajectory outlier (GTO) detection and (2) deviation point detection for both individual and group of trajectory outliers. Five algorithms are proposed for th... Read More about Trajectory outlier detection: New problems and solutions for smart cities.