Outputs (1068)

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., Pusane, A. E., Mısırlı, G., & 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. 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)
Presentation / Conference Contribution
Zayed, A., & Al-Said Ahmad, A. (2024, July). Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering. Presented at 24th International Conference on Software Quality, Reliability, and Security (QRS), Cambridge, United Kingdom

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.

Using rapid reviews to support software engineering practice: a systematic review and a replication study (2024)
Journal Article
Pizard, S., Lezama, J., García, R., Vallespir, D., & Kitchenham, B. (2025). Using rapid reviews to support software engineering practice: a systematic review and a replication study. Empirical Software Engineering, 30(1), https://doi.org/10.1007/s10664-024-10545-6

Context
A few years ago, rapid reviews (RR) were introduced in software engineering (SE) to address the problem that standard systematic reviews take too long and too much effort to be of value to practitioners. Prior to our study, few practice-driv... Read More about Using rapid reviews to support software engineering practice: a systematic review and a replication study.

Version reporting of wearables in clinical trials v1 (2024)
Digital Artefact
Ahmad Khattak, K., Woolley, S., & Collins, T. (2024). Version reporting of wearables in clinical trials v1

This study involved the extraction and analysis of version reporting information from completed and reported ClinicalTrials.gov entries for wrist-worn wearable intervention studies.

Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks (2024)
Journal Article
Jagtap, N. V., Reinisch, N., Abdusalamov, R., Bailly, D., & Itskov, M. (2024). Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks. Advances in Industrial and Manufacturing Engineering, 9, Article 100152. https://doi.org/10.1016/j.aime.2024.100152

Open die forging is one of the oldest manufacturing methods known to remove defects in the ingot resulting from the casting process. The improved properties of the final component are highly dependent on the strain distribution. Alt... Read More about Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks.

Wrinkling of differentially growing bilayers with similar film and substrate moduli (2024)
Journal Article
Shen, J., Fu, Y., Pirrera, A., & Groh, R. M. (2024). Wrinkling of differentially growing bilayers with similar film and substrate moduli. Journal of the Mechanics and Physics of Solids, 193, Article 105900. https://doi.org/10.1016/j.jmps.2024.105900

Growth-induced surface wrinkling in constrained bilayers comprising a thin film attached to a thick substrate is a canonical model for understanding pattern formation in many biological systems. While the bilayer model has received much prior attenti... Read More about Wrinkling of differentially growing bilayers with similar film and substrate moduli.

AI security and cyber risk in IoT systems (2024)
Journal Article
Radanliev, P., De Roure, D., Maple, C., Nurse, J. R. C., Nicolescu, R., & Ani, U. (in press). AI security and cyber risk in IoT systems. Frontiers in Big Data, 7, Article 1402745. https://doi.org/10.3389/fdata.2024.1402745

Internet-of-Things (IoT) refers to low-memory connected devices used in various new technologies, including drones, autonomous machines, and robotics. The article aims to understand better cyber risks in low-memory devices and the challenges in IoT r... Read More about AI security and cyber risk in IoT systems.