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Outputs (3343)

Moving AFK: Exploring the applicability of contemporary desistance theorising for cyber-dependent offending (2022)
Presentation / Conference Contribution
Anderson, S., Horgan, S., & Collier, B. (2022, September). Moving AFK: Exploring the applicability of contemporary desistance theorising for cyber-dependent offending. Paper presented at European Society of Criminology, Malaga

The presentation will explore the analytical utility of contemporary theories of desistance for making sense of narratives of cyber-dependent offending careers. Until recently, cybercrime research has been preoccupied with situational theorisations o... Read More about Moving AFK: Exploring the applicability of contemporary desistance theorising for cyber-dependent offending.

Watching you desist: Policing as punishment in the cybercrime context (2022)
Presentation / Conference Contribution
Horgan, S., Anderson, S., & Collier, B. (2022, September). Watching you desist: Policing as punishment in the cybercrime context. Paper presented at European Society of Criminology, Malaga

Cyber-dependent crime is now more often considered a national security issue rather than a routine policing matter. 'High-policing' agencies tend to take the lead in law enforcement responses, even when crimes are petty, ‘low-tech’, or born of curios... Read More about Watching you desist: Policing as punishment in the cybercrime context.

Why do researchers get 'hackers' so wrong, and why we should be worried about the police's response? (2022)
Presentation / Conference Contribution
Horgan, S., Anderson, S., & Collier, B. (2022, June). Why do researchers get 'hackers' so wrong, and why we should be worried about the police's response?. Paper presented at Electromagnetic Field, Eastnor Castle Deer Park

In this presentation, two criminologists and one sociologist reflect on why criminology and sociology often get ‘hacking’ very wrong - and on the challenges we faced trying to get it (a bit more) right. We draw on ongoing research into how involv... Read More about Why do researchers get 'hackers' so wrong, and why we should be worried about the police's response?.

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection (2023)
Preprint / Working Paper
Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably inthe past few years, which resulted in an exponential growth of cyber attackson IoT infrastructure. As a consequence, the prompt detection of attacks inIoT environments throug... Read More about A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection.

Surgical education: Applied virtual anatomy: Can Virtual Reality Augment Postgraduate Anatomy Teaching? (2007)
Presentation / Conference Contribution
Ward, B. M., Charissis, V., Rowley, D., Anderson, P., & Young, I. (2007). Surgical education: Applied virtual anatomy: Can Virtual Reality Augment Postgraduate Anatomy Teaching?. In Proceedings of the British Association of Day Surgery Conference

This paper presents an inquiry into Virtual Reality (VR) training environments and their application in early postgraduate anatomy teaching. There is great interest in the use of VR applications, but there has been little practical application in the... Read More about Surgical education: Applied virtual anatomy: Can Virtual Reality Augment Postgraduate Anatomy Teaching?.

Investigating the improvement of the localisation propensity and impact of the emergency vehicle sirens (2011)
Presentation / Conference Contribution
Boslem, S., Moore, D., & Charissis, V. (2011). Investigating the improvement of the localisation propensity and impact of the emergency vehicle sirens. In SAE 2011 World Congress and Exhibition. https://doi.org/10.4271/2011-01-0049

Rapid mobilization of emergency vehicles in the urban or rural road network presents a high probability of collisions and other related hazards to other drivers. Yet uninterrupted high speeds of the emergency vehicles through traffic are imperative f... Read More about Investigating the improvement of the localisation propensity and impact of the emergency vehicle sirens.

T/ensor/~ 0.3 (2023)
Presentation / Conference Contribution
Papageorgiou, D. (2023, May). T/ensor/~ 0.3. Presented at The International Conference on New Interfaces for Musical Expression (NIME), Mexico City

T/ensor/~ (version 0.3) is a prototype of a dynamic performance system developed in MAX that involves adaptive digital signal processing modules and generative processes towards exploring the field and performance-practice of human-machine improvisat... Read More about T/ensor/~ 0.3.

CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics (2023)
Journal Article
Feizpour, E., Tahayori, H., & Sami, A. (2023). CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics. Journal of Software: Evolution and Process, 35(12), Article e2569. https://doi.org/10.1002/smr.2569

Software development effort estimation (SDEE) is a critical activity in developing software. Accurate effort estimation in the early phases of software design life cycle has important effects on the success of software projects. COCOMO (Constructive... Read More about CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics.

DanceGraph: A Complementary Architecture for Synchronous Dancing Online (2023)
Presentation / Conference Contribution
Sinclair, D., Ademola, A. V., Koniaris, B., & Mitchell, K. (2023, May). DanceGraph: A Complementary Architecture for Synchronous Dancing Online. Paper presented at 36th International Computer Animation & Social Agents (CASA) 2023, Limassol, Cyprus

DanceGraph is an architecture for synchronized online dancing overcoming the latency of net-worked body pose sharing. We break down this challenge by developing a real-time bandwidth-efficient architecture to minimize lag and reduce the timeframe of... Read More about DanceGraph: A Complementary Architecture for Synchronous Dancing Online.

Independent review – Independent advisory group on new and emerging technologies in policing: final report (2023)
Report
Aston, E. (2023). Independent review – Independent advisory group on new and emerging technologies in policing: final report. Edinburgh: Scottish Government

This report explores a rights based, transparent, evidence-based, legal, ethical and socially responsible approach to adopting emerging technologies in policing, in a manner that upholds public confidence and safety. Alongside the importance of legal... Read More about Independent review – Independent advisory group on new and emerging technologies in policing: final report.

Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment (2023)
Journal Article
Olawumi, T. O., Chan, D. W., Saka, A. B., Ekundayo, D., & Odeh, A. O. (2023). Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment. Journal of Cleaner Production, 410, Article 137280. https://doi.org/10.1016/j.jclepro.2023.137280

Implementing Smart-sustainable practices (SSP) is crucial to achieving environmentally-friendly buildings and cities. Adequate awareness and understanding of its benefits and impacts are essential for maximizing its implementation. Hence, this study... Read More about Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment.

A Novel Autonomous Time-Slotted LoRa MAC Protocol with Adaptive Frame Sizes (2023)
Presentation / Conference Contribution
Alahamadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (2023, June). A Novel Autonomous Time-Slotted LoRa MAC Protocol with Adaptive Frame Sizes. Presented at International Wireless Communications & Mobile Computing Conference (IWCMC 2023), Marrakesh, Morocco

Time-Slotted Medium Access Control protocols bring advantages to the scalability of LoRa networks as an alternative to the ALOHA access method. However, such Time-Slotted protocols require nodes synchronization and schedules dissemination under strin... Read More about A Novel Autonomous Time-Slotted LoRa MAC Protocol with Adaptive Frame Sizes.

Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space (2023)
Presentation / Conference Contribution
Marrero, A., Segredo, E., Hart, E., Bossek, J., & Neumann, A. (2023, July). Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. Presented at GECCO 2023, Lisbon, Portugal

Generating new instances via evolutionary methods is commonly used to create new benchmarking data-sets, with a focus on attempting to cover an instance-space as completely as possible. Recent approaches have exploited Quality-Diversity methods to ev... Read More about Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space.

Learning-Based Neural Ant Colony Optimization (2023)
Presentation / Conference Contribution
Liu, Y., Qiu, J., Hart, E., Yu, Y., Gan, Z., & Li, W. (2023). Learning-Based Neural Ant Colony Optimization. In GECCO 2023: Proceedings of the Genetic and Evolutionary Computation Conference (47-55). https://doi.org/10.1145/3583131.3590483

In this paper, we propose a new ant colony optimization algorithm , called learning-based neural ant colony optimization (LN-ACO), which incorporates an "intelligent ant". This intelligent ant contains a convolutional neural network pre-trained on a... Read More about Learning-Based Neural Ant Colony Optimization.

Using immersive tech to enrich healthcare education (2022)
Digital Artefact
McKenzie, C., Skinner, J., & Poole, A. Using immersive tech to enrich healthcare education. [Article]

As virtual reality technology has become more affordable and user friendly, it opens opportunities to enhance teaching of clinical skills. Here’s how one team brings VR into the classroom

Towards Improving Accessibility of Web Auditing with Google Lighthouse (2023)
Presentation / Conference Contribution
McGill, T., Bamgboye, O., Liu, X., & Kalutharage, C. S. (2023, June). Towards Improving Accessibility of Web Auditing with Google Lighthouse. Presented at The 47th IEEE Annual Conference on Computers, Software, and Applications (COMPSAC), Turin, Italy

Google Lighthouse is a tool made by Google for auditing web pages performance, accessibility, SEO, and best practices with the intention of improving the quality of the websites. This allows software developers to understand areas of improvement with... Read More about Towards Improving Accessibility of Web Auditing with Google Lighthouse.

Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research (2023)
Journal Article
Borg, J. M., Buskell, A., Kapitany, R., Powers, S. T., Reindl, E., & Tennie, C. (2024). Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research. Artificial Life, 30(3), 417-438. https://doi.org/10.1162/artl_a_00406

The goal of Artificial Life research, as articulated by Chris Langton, is “to contribute to theoretical biology by locating life-as-we-know-it within the larger picture of life-as-it-could-be” (1989, p. 1). The study and pursuit of open-ended evoluti... Read More about Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research.

Algorithmic machines: From binary communication designs to human-robot interactions (2021)
Book Chapter
Zeller, F. (2021). Algorithmic machines: From binary communication designs to human-robot interactions. In M. Taddicken, & C. Schumann (Eds.), Algorithms and Communication (95-132). Digital Communication Research. https://doi.org/10.48541/dcr.v9.4

This article discusses aspects of future research in communication sciences related to a popular and omnipresent artefact of algorithmic machines, social robots. Social robots are defined in this article as physical entities or machines, which may re... Read More about Algorithmic machines: From binary communication designs to human-robot interactions.

Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods (2022)
Journal Article
Forootani, A., Rastegar, M., & Sami, A. (2022). Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods. Electric Power Systems Research, 210, Article 108119. https://doi.org/10.1016/j.epsr.2022.108119

Accurate short-term forecasting of the individual residential load is a challenging task due to the nonlinear behavior of the residential customer. Moreover, there are a large number of features that have impact on the energy consumption of the resid... Read More about Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods.