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Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet (2018)
Conference Proceeding
Collins, T., Woolley, S., Gehlken, E., & Ch'ng, E. (2018). Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet. . https://doi.org/10.1109/VSMM.2017.8346284

The epic of Atrahasis is one of the most significant pieces of ancient Mesopotamian literature. The account has survived millennia on sets of clay tablets inscribed with cuneiform script; a sophisticated early writing system comprising signs formed f... Read More about Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet.

Detection of suspicious URLs in online social networks using supervised machine learning algorithms (2018)
Thesis
Al-Janabi, M. F. Z. (2018). Detection of suspicious URLs in online social networks using supervised machine learning algorithms. (Thesis). Keele University. Retrieved from https://keele-repository.worktribe.com/output/412294

This thesis proposes the use of several supervised machine learning classification models that were built to detect the distribution of malicious content in OSNs. The main focus was on ensemble learning algorithms such as Random Forest, gradient boos... Read More about Detection of suspicious URLs in online social networks using supervised machine learning algorithms.

An evaluation model for information security strategies in healthcare data systems (2018)
Thesis
Almutiq, M. M. (2018). An evaluation model for information security strategies in healthcare data systems. (Thesis). Keele University. Retrieved from https://keele-repository.worktribe.com/output/412314

This thesis presents a newly developed evaluation model, EMISHD (An "Evaluation Model for Information Security Strategies in Healthcare Data Systems") which can address the specific requirements of information security in healthcare sector. Based on... Read More about An evaluation model for information security strategies in healthcare data systems.

Ekman currents caused by variable wind in models of upper ocean with depth and time dependent eddy viscosity (2018)
Thesis
Almelah, R. B. (2018). Ekman currents caused by variable wind in models of upper ocean with depth and time dependent eddy viscosity. (Thesis). Keele University. Retrieved from https://keele-repository.worktribe.com/output/412320

The work examines response of the upper ocean to time-varying winds. In the Ekman paradigm the effect of wind is considered as time-varying horizontally uniform tangential wind stress applied to the ocean surface and the turbulent diffusion of moment... Read More about Ekman currents caused by variable wind in models of upper ocean with depth and time dependent eddy viscosity.

DeepPCA Based Objective Function for Melanoma Detection (2018)
Conference Proceeding
Sultana, N. N., Puhan, N. B., & Mandal, B. (2018). DeepPCA Based Objective Function for Melanoma Detection. In 2018 International Conference on Information Technology (ICIT). https://doi.org/10.1109/icit.2018.00025

In this paper, we propose an objective function for the convolutional neural network to acquire the variation separability as opposed to the categorical cross entropy which maximizes according to the target labels. This approach is an unsupervised le... Read More about DeepPCA Based Objective Function for Melanoma Detection.

Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors (2018)
Journal Article
Ledger, P. D., Lionheart, W. R. B., & Amad, A. A. S. (2019). Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors. Mathematical Methods in the Applied Sciences, 42(3), 830-860. https://doi.org/10.1002/mma.5387

Realistic applications in metal detection involve multiple inhomogeneous-conducting permeable objects, and the aim of this paper is to characterise such objects by polarizability tensors. We show that, for the eddy current model, the leading order te... Read More about Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors.

A Genetic Circuit Compiler: Generating Combinatorial Genetic Circuits with Web Semantics and Inference (2018)
Journal Article
Misirli. (2018). A Genetic Circuit Compiler: Generating Combinatorial Genetic Circuits with Web Semantics and Inference. ACS synthetic biology, 2812-2823. https://doi.org/10.1021/acssynbio.8b00201

A central strategy of synthetic biology is to understand the basic processes of living creatures through engineering organisms using the same building blocks. Biological machines described in terms of parts can be studied by computer simulation in an... Read More about A Genetic Circuit Compiler: Generating Combinatorial Genetic Circuits with Web Semantics and Inference.

Vibrations and elastic waves in chiral multi-structures (2018)
Journal Article
Nieves. (2018). Vibrations and elastic waves in chiral multi-structures. Journal of the Mechanics and Physics of Solids, 387-408. https://doi.org/10.1016/j.jmps.2018.07.020

We develop a new asymptotic model of the dynamic interaction between an elastic structure and a system of gyroscopic spinners that make the overall multi-structure chiral. An important result is the derivation and analysis of effective chiral boundar... Read More about Vibrations and elastic waves in chiral multi-structures.

Opposing effects of final population density and stress on Escherichia coli mutation rate (2018)
Journal Article
Channon. (2018). Opposing effects of final population density and stress on Escherichia coli mutation rate. ISME Journal, 2981-2987. https://doi.org/10.1038/s41396-018-0237-3

Evolution depends on mutations. For an individual genotype, the rate at which mutations arise is known to increase with various stressors (stress-induced mutagenesis-SIM) and decrease at high final population density (density-associated mutation-rate... Read More about Opposing effects of final population density and stress on Escherichia coli mutation rate.