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Enhanced Collision Avoidance for Distributed LTE Vehicle to Vehicle Broadcast Communications (2018)
Journal Article
Fan. (2018). Enhanced Collision Avoidance for Distributed LTE Vehicle to Vehicle Broadcast Communications. IEEE Communications Letters, 630 - 633. https://doi.org/10.1109/LCOMM.2018.2791399

In this letter, we investigate the distributed autonomous resource selection for LTE vehicle to vehicle (V2V) broadcast. The effectiveness of collision avoidance and location based resource allocation enhancements is examined. It is found that collis... Read More about Enhanced Collision Avoidance for Distributed LTE Vehicle to Vehicle Broadcast Communications.

Tool Features to Support Systematic Reviews in Software Engineering: A Cross Domain Study (2018)
Journal Article
(2018). Tool Features to Support Systematic Reviews in Software Engineering: A Cross Domain Study. https://doi.org/10.5277/e-Inf180104

Context: Previously, the authors had developed and evaluated a framework to evaluate systematic
review (SR) lifecycle tools.
Goal: The goal of this study was to use the experiences of researchers in other domains to further
evaluate and refine the... Read More about Tool Features to Support Systematic Reviews in Software Engineering: A Cross Domain Study.

Evaluation of AllergiSense Smartphone Tools for Adrenaline Injection Training (2017)
Journal Article
Hernandez-Munoz, L., Woolley, S., Luyt, D., Stiefel, G., Kirk, K., Makwana, N., Melchior, C., Dawson, T., Wong, G., Collins, T., & Diwakar, L. (2017). Evaluation of AllergiSense Smartphone Tools for Adrenaline Injection Training. IEEE Journal of Biomedical and Health Informatics, 21(1), 272-282. https://doi.org/10.1109/JBHI.2015.2497717

Anaphylaxis is an increasingly prevalent life-threatening allergic condition that requires people with anaphylaxis and their caregivers to be trained in the avoidance of allergen triggers and in the administration of adrenaline autoinjectors. The pro... Read More about Evaluation of AllergiSense Smartphone Tools for Adrenaline Injection Training.

Automated glaucoma diagnosis using deep learning approach (2017)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., & Zheng, Y. (2017, March). Automated glaucoma diagnosis using deep learning approach. Presented at 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about Automated glaucoma diagnosis using deep learning approach.

An Ambient Intelligence System for Assisted Living (2017)
Book Chapter
Ortolani. (2017). An Ambient Intelligence System for Assisted Living. In 2017 AEIT International Annual Conference, Cagliari, Italy, 20-22 Sep (1 -6). https://doi.org/10.23919/AEIT.2017.8240559

Nowadays, the population's average age is constantly increasing, and thus the need for specialized home assistance is on the rise. Smart homes especially tailored to meet elderly and disabled people's needs can help them maintaining their autonomy, w... Read More about An Ambient Intelligence System for Assisted Living.

Turning Models Inside Out (2017)
Journal Article
(2017). Turning Models Inside Out. CEUR Workshop Proceedings,

We present an approach for change-based (as opposed to state-based) model persistence that can facilitate highperformance incremental model processing (e.g. validation, transformation) by minimising the cost of change identification when models evolv... Read More about Turning Models Inside Out.

Layer formation in horizontally forced stratified turbulence: connecting exact coherent structures to linear instabilities (2017)
Journal Article
(2017). Layer formation in horizontally forced stratified turbulence: connecting exact coherent structures to linear instabilities. Journal of Fluid Mechanics, 409-437. https://doi.org/10.1017/jfm.2017.661

We consider turbulence in a stratified \u2018Kolmogorov\u2019 flow, driven by horizontal shear in the form of sinusoidal body forcing in the presence of an imposed background linear stable stratification in the third direction. This flow configuratio... Read More about Layer formation in horizontally forced stratified turbulence: connecting exact coherent structures to linear instabilities.

A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., Collins, D. J., & Lam, K. P. (2017, October). A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity. Presented at IEEE International Workshop on Signal Processing Systems, Lorient, France

The combination of intra and extra-cellular recording of small neuronal circuits such as stomatogastric nervous systems of the crab (Cancer borealis) is well documented and routinely practised. Voltage sensitive dye imaging (VSDi) is a promising tech... Read More about A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity.

Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover (2017)
Journal Article
Channon. (2017). Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover. Scientific reports, https://doi.org/10.1038/s41598-017-14628-x

The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness (“flattest”). We identify an inverse relationship between CMR and sequence length in an in silico sys... Read More about Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover.

Approaches to analysis with infinitesimals following Robinson, Nelson, and others (2017)
Journal Article
Fletcher, P., Hrbacek, K., Kanovei, V., Katz, M. G., Lobry, C., & Sanders, S. (2017). Approaches to analysis with infinitesimals following Robinson, Nelson, and others. Real Analysis Exchange, 1 -59. https://doi.org/10.14321/realanalexch.42.2.0193

This is a survey of several approaches to the framework for working with infinitesimals and infinite numbers, originally developed by Abraham Robinson in the 1960s, and their constructive engagement with the Cantor-Dedekind postulate and the Intended... Read More about Approaches to analysis with infinitesimals following Robinson, Nelson, and others.

Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems (2017)
Presentation / Conference Contribution
Pekaslan, D., Kabir, S., Garibaldi, J. M., & Wagner, C. (2017, November). Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems. Presented at 9th International Joint Conference on Computational Intelligence (IJCCI 2017), Funchal, Madeira, Portugal

Non-singleton Fuzzy Logic Systems have the potential to tackle uncertainty within the design of fuzzy systems. The inference process has a major role in determining results, being partly based on the interaction of input and antecedent fuzzy sets (in... Read More about Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems.

Irreversible mixing by unstable periodic orbits in buoyancy dominated stratified turbulence (2017)
Journal Article
(2017). Irreversible mixing by unstable periodic orbits in buoyancy dominated stratified turbulence. Journal of Fluid Mechanics, https://doi.org/10.1017/jfm.2017.695

We consider turbulence driven by a large-scale horizontal shear in Kolmogorov flow (i.e. with sinusoidal body forcing) and a background linear stable stratification with buoyancy frequency N-B(2) imposed in the third, vertical direction in a fluid wi... Read More about Irreversible mixing by unstable periodic orbits in buoyancy dominated stratified turbulence.

Towards an Accurate Identification of Pyloric Neuron Activity with VSDi (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. (2017, September). Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. Presented at 26th International Conference on Artificial Neural Networks, Alghero, Sardinia, Italy

Voltage-sensitive dye imaging (VSDi) which enables simultaneous optical recording of many neurons in the pyloric circuit of the stomatogastric ganglion is an important technique to supplement electrophysiological recordings. However, utilising the te... Read More about Towards an Accurate Identification of Pyloric Neuron Activity with VSDi.

The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study (2017)
Journal Article
(2017). The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study. Information and Software Technology, 234-244. https://doi.org/10.1016/j.infsof.2017.10.012

Context
Systematic reviews can provide useful knowledge for software engineering practice, by aggregating and synthesising empirical studies related to a specific topic.

Objective
We sought to assess how far the findings of systematic reviews ad... Read More about The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study.

The contributions the empirical studies performed in industry make to the findings of systematic reviews: a tertiary study (2017)
Journal Article
(2017). The contributions the empirical studies performed in industry make to the findings of systematic reviews: a tertiary study. Information and Software Technology, https://doi.org/10.1016/j.infsof.2017.10.012

Context:
Systematic reviews can provide useful knowledge for software engineering practice, by aggregating and synthesising empirical studies related to a specific topic.
Objective:
We sought to assess how far the findings of systematic reviews ad... Read More about The contributions the empirical studies performed in industry make to the findings of systematic reviews: a tertiary study.

A Multiresolution Approach to the Extraction of the Pyloric Rhythm (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. P. (2017, July). A Multiresolution Approach to the Extraction of the Pyloric Rhythm. Presented at 2017 40th International Conference on Telecommunications and Signal Processing (TSP)

This paper describes our work toward the development of a computationally robust methodology to identify the pyloric neurons in the stomatogastric ganglion of Cancer pagurus using voltage-sensitive dye imaging. The multi-resolution signal decompositi... Read More about A Multiresolution Approach to the Extraction of the Pyloric Rhythm.

Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species (2017)
Journal Article
Moore, H. E., Butcher, J. B., Day, C. R., & Drijfhout, F. P. (2017). Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species. Forensic Science International, 280, Article 233-244. https://doi.org/10.1016/j.forsciint.2017.10.001

Blowflies (Diptera: Calliphoridae) are forensically important as they are known to be one of the first to colonise human remains. The larval stage is typically used to assist a forensic entomologists with adult flies rarely used as they are difficult... Read More about Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species.