Outputs (982)

An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection (2025)
Conference Proceeding
Asowo, P., Lal, S., & Ani, U. (2025). An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection. . https://doi.org/10.1007/978-3-031-77918-3_16

The threat of fake news jeopardizing the credibility of online
news platforms, particularly on social media, underscores the need for innovative solutions. This paper proposes a creative engine for detecting fake news, leveraging advanced machine le... Read More about An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.

On the refined boundary condition at the edge of a thin elastic strip supported by a Winkler-type foundation under antiplane shear deformation (2024)
Journal Article
Prikazchikova, L., Nolde, E., Miszuris, W., & Kaplunov, J. (2024). On the refined boundary condition at the edge of a thin elastic strip supported by a Winkler-type foundation under antiplane shear deformation. International Journal of Engineering Science, 205, Article 104152. https://doi.org/10.1016/j.ijengsci.2024.104152

The derivation of the boundary conditions is the most challenging part of the asymptotic techniques underlying low-dimensional models for thin elastic structures. At the moment, these techniques do not take into consideration the effect of the enviro... Read More about On the refined boundary condition at the edge of a thin elastic strip supported by a Winkler-type foundation under antiplane shear deformation.

Multimode long-wave approximation for a viscoelastic coating subject to antiplane shear (2024)
Journal Article
Erbaş, B., Itskov, M., Kaplunov, J., & Prikazchikov, D. (2024). Multimode long-wave approximation for a viscoelastic coating subject to antiplane shear. Zeitschrift für angewandte Mathematik und Physik, 75(6), Article 234. https://doi.org/10.1007/s00033-024-02382-w

A general asymptotic approach involving multimode long-wave approximations is illustrated by a 2D time-harmonic scalar problem for the dynamic antiplane shear of a viscoelastic coating. For the first time, a 1D equation of motion with the coefficient... Read More about Multimode long-wave approximation for a viscoelastic coating subject to antiplane shear.

Unlocking Trust: Advancing Activity Recognition in Video Imagery (2024)
Journal Article
Yousuf, M. J., Lee, B., Asghar, M. N., Ansari, M. S., & Kanwal, N. (2024). Unlocking Trust: Advancing Activity Recognition in Video Imagery. IEEE Access, 12, https://doi.org/10.1109/access.2024.3503284

Anonymous activity recognition is pivotal in addressing privacy concerns amidst the widespread use of facial recognition technologies (FRTs). While FRTs enhance security and efficiency, they raise significant privacy issues. Anonymous activity recogn... Read More about Unlocking Trust: Advancing Activity Recognition in Video Imagery.

Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach (2024)
Journal Article
Ani, U. D., Watson, J., He, H., Radanliev, P., & Epiphaniou, G. (in press). Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach. Journal of Cyber Security Technology, 1-40. https://doi.org/10.1080/23742917.2024.2421589

Organisations operating IoT-enabled industrial control systems (ICSs) are concerned about growing cybersecurity risks and impacts to their systems. Cyber-attacks on ICSs demonstrate that technology alone is neither a problem nor a solution to the gro... Read More about Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach.

BioRxToolbox: A computational framework to streamline genetic circuit design in molecular data communications (2024)
Journal Article
Durmaz, M. G., Tulluk, N., Aksoy, R. D., Yilmaz, H. B., Yang, B., Wipat, A., …Tugcu, T. (in press). BioRxToolbox: A computational framework to streamline genetic circuit design in molecular data communications. Synthetic Biology, https://doi.org/10.1093/synbio/ysae015

Developments in bioengineering and nanotechnology have ignited the research on biological and molecular communication systems. Despite potential benefits, engineering communication systems to carry data signals using biological messenger molecules an... Read More about BioRxToolbox: A computational framework to streamline genetic circuit design in molecular data communications.

Developing classification and regression based machine learning algorithms for bank loan approval and stock market prediction problems (2024)
Thesis
Mistry, K. A. J. Developing classification and regression based machine learning algorithms for bank loan approval and stock market prediction problems. (Thesis). Keele University. Retrieved from https://keele-repository.worktribe.com/output/956367

Developing machine learning (ML) algorithms to predict unseen data based on the trends of existing data has always been very challenging. Its technology demand to be applied to a wide range of problems is very high and is only expected to rise. Altho... Read More about Developing classification and regression based machine learning algorithms for bank loan approval and stock market prediction problems.

Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models (2024)
Journal Article
Albostami, A. S., Mohamad, S. A., Alzabeebee, S., Al-Hamd, R. K., & Al-Bander, B. (2025). Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models. Engineering Structures, 322, Article 119150. https://doi.org/10.1016/j.engstruct.2024.119150

This research paper focuses on utilizing Artificial Neural Networks (ANN), Multi-Objective Genetic Algorithm Evolutionary Polynomial Regression (MOGA-EPR), and Gene Expression Programming (GEP) to predict the punching shear strength of Steel Fibre-Re... Read More about Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models.

Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering (2024)
Conference Proceeding
Zayed, A., & Al-Said Ahmad, A. (2024). Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering. . https://doi.org/10.1109/qrs-c63300.2024.00172

This study explores the use of chaos engineering in evaluating the performance and resilience of serverless applications, which are built as complex distributed systems subject to different types of failures and errors. By intentionally injecting con... Read More about Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering.

Low-frequency propagating and evanescent waves in strongly inhomogeneous sandwich plates (2024)
Journal Article
Prikazchikova, L., Rege, A., Kaplunov, J., & Prikazchikov, D. (2024). Low-frequency propagating and evanescent waves in strongly inhomogeneous sandwich plates. Zeitschrift für angewandte Mathematik und Physik, 75, 1-14. https://doi.org/10.1007/s00033-024-02347-z

The paper aims at studying dispersion of elastic waves in a sandwich plate with the parameters, characteristic of aerogel core and hard skin layers, typical for aerospace applications including optimal design of fuselage structural components. The pr... Read More about Low-frequency propagating and evanescent waves in strongly inhomogeneous sandwich plates.