All Outputs (92)

Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases (2020)
Conference Proceeding
Durgut, R., Baydilli, Y. Y., & Aydin, M. E. (2020). Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases. In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference (338-351). https://doi.org/10.1007/978-3-030-48791-1_26

Parkinson’s is a brain disease that affects the quality of human life significantly with very slow progresses. It is known that early diagnosis is of great importance to arrange relevant and efficient treatments. Data analytics and particularly predi... Read More about Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases.

Automated screening of patients for dietician referral (2020)
Conference Proceeding
Soomro, K., & Pimenidis, E. (2020). Automated screening of patients for dietician referral. In L. Iliadis, P. Angelov, C. Jayne, & E. Pimenidis (Eds.), Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. https://doi.org/10.1007/978-3-030-48791-1_24

Critical Care Units (CCU) in a hospital treat the severely sick patients that need constant monitoring and close medical attention. Feeding patients, enteral feeding in particular, is a critical and continuous process. Monitoring patients, managing t... Read More about Automated screening of patients for dietician referral.

Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment (2020)
Conference Proceeding
Hunt, S. J., Mitchell, T. J., & Nash, C. (2020). Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment.

Computer composed music remains a novel and challenging problem to solve. Despite an abundance of techniques and systems little research has explored how these might be useful for end-users looking to compose with generative and algorithmic music tec... Read More about Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment.

Novelty search employed into the development of cancer treatment simulations (2020)
Journal Article
Tsompanas, M., Bull, L., Adamatzky, A., & Balaz, I. (2020). Novelty search employed into the development of cancer treatment simulations. Informatics in Medicine Unlocked, 19, 100347. https://doi.org/10.1016/j.imu.2020.100347

Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open ended search methodologies, such as novelty search, have been propose... Read More about Novelty search employed into the development of cancer treatment simulations.

Harmonics (2020)
Exhibition / Performance
Artists, U. V., & Meckin, D. Harmonics. [Laser lights, sound, code.]. 17 May 2020. (Unpublished)

Harmonics challenges our perception of light and sound unfolding at great speed, an illusion of time blending. As the two kinetic sculptures speed up, rotating beams of light blend to form volumes of colour, while multiple discrete sounds become a ma... Read More about Harmonics.

A recurrent neural network for urban long-term traffic flow forecasting (2020)
Journal Article
Belhadi, A., Djenouri, Y., Djenouri, D., & Lin, J. C. (2020). A recurrent neural network for urban long-term traffic flow forecasting. Applied Intelligence, 50(10), 3252-3265. https://doi.org/10.1007/s10489-020-01716-1

This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced. A recurrent neural network approach, na... Read More about A recurrent neural network for urban long-term traffic flow forecasting.

Detecting ransomware using process behavior analysis (2020)
Journal Article
Arabo, A., Dijoux, R., Poulain, T., & Chevalier, G. (2020). Detecting ransomware using process behavior analysis. Procedia Computer Science, 168, 289-296. https://doi.org/10.1016/j.procs.2020.02.249

Ransomware attacks are one of the biggest and attractive threats in cyber security today. Anti-virus software's are often inefficient against zero-day malware and ransomware attacks, important network infections could result in a large amount of data... Read More about Detecting ransomware using process behavior analysis.

Exploring distributed control with the NK model (2020)
Journal Article
Bull, L. (2020). Exploring distributed control with the NK model. International Journal of Parallel, Emergent and Distributed Systems, 35(4), 413-422. https://doi.org/10.1080/17445760.2020.1760864

The NK model has been used widely to explore aspects of natural evolution and complex systems. This paper introduces a modified form of the NK model for exploring distributed control in complex systems such as organisations, social networks, collecti... Read More about Exploring distributed control with the NK model.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Conference Proceeding
Mahmood, T., & Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector. . https://doi.org/10.5220/0009325201690176

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs) (2020)
Journal Article
Khan, N. A., Jhanjhi, N. Z., Brohi, S. N., Usmani, R. S. A., & Nayyar, A. (2020). Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs). Computer Communications, 157, 434-443. https://doi.org/10.1016/j.comcom.2020.04.049

Road traffic accidents are one of the leading causes of deaths and injuries in the word resulting in the not only loss of precious human lives but also affect the economic resources. According to the World Health Organization (WHO), over 1.35 million... Read More about Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs).

Social network influence ranking via embedding network interactions for user recommendation (2020)
Conference Proceeding
Bo, H., McConville, R., Hong, J., & Liu, W. (2020). Social network influence ranking via embedding network interactions for user recommendation. In WWW '20: Companion Proceedings of the Web Conference 2020 (379-384). https://doi.org/10.1145/3366424.3383299

Within social networks user influence may be modelled based on user interactions. Further, it is typical to recommend users to others. What is the role of user influence in user recommendation In this paper, we first propose to use a node embedding a... Read More about Social network influence ranking via embedding network interactions for user recommendation.

Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment (2020)
Journal Article
Zhong, W., Yin, X., Zhang, X., Li, S., Dou, W., Wang, R., & Qi, L. (2020). Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment. Computer Communications, 157, 116-123. https://doi.org/10.1016/j.comcom.2020.04.018

© 2020 Elsevier B.V. With the advance of mobile edge computing (MEC), the number of edge services running on mobile devices grows explosively. In this situation, it is becoming a necessity to recommend the most suitable edge services to a mobile user... Read More about Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment.

Predicting the environment from social media: A collective classification approach (2020)
Journal Article
Jeawak, S. S., Jones, C. B., & Schockaert, S. (2020). Predicting the environment from social media: A collective classification approach. Computers, Environment and Urban Systems, 82, https://doi.org/10.1016/j.compenvurbsys.2020.101487

We propose a method which uses Flickr tags to predict a wide variety of environmental features, such as climate data, land cover categories, species occurrence, and human assessments of scenicness. The role of Flickr tags in our method is two-fold. F... Read More about Predicting the environment from social media: A collective classification approach.

Modelling 3D topography by comparing airborne LiDAR data with Unmanned Aerial System (UAS) photogrammetry under multiple imaging conditions (2020)
Journal Article
Ajayi, O. G., & Palmer, M. (2020). Modelling 3D topography by comparing airborne LiDAR data with Unmanned Aerial System (UAS) photogrammetry under multiple imaging conditions. Geoplanning: Journal of Geomatics and Planning, 6(2), 122-138. https://doi.org/10.14710/geoplanning.6.2.122-138

This study presents the effect of image data sources on the topographic modelling of part of the National Trust site located at Weston-Super-Mare, Bristol, United Kingdom, covering an approximate area of 1.82 hectares. The accuracy of the DEM generat... Read More about Modelling 3D topography by comparing airborne LiDAR data with Unmanned Aerial System (UAS) photogrammetry under multiple imaging conditions.

An experimental study to evaluate the performance of machine learning algorithms in ransomware detection (2020)
Journal Article
Dion, Y., & Brohi, S. N. (2020). An experimental study to evaluate the performance of machine learning algorithms in ransomware detection. Journal of Engineering Science and Technology, 15(2), 967-981

The research in the domain of ransomware is rapidly emerging, and the application of machine learning algorithms in ransomware detection is one of the recent breakthroughs. In this research, we constructed an experimental platform using ransomware da... Read More about An experimental study to evaluate the performance of machine learning algorithms in ransomware detection.

OntoSoS.BPA.ChM: A semantically-enriched and business process architecture-driven framework for change management in system of systems context (2020)
Thesis
Samhan, A. OntoSoS.BPA.ChM: A semantically-enriched and business process architecture-driven framework for change management in system of systems context. (Thesis). UWE. Retrieved from https://uwe-repository.worktribe.com/output/5184479

The interaction and collaboration between the constituent systems in System of Systems (SoS) context entail more complex and new challenges that face the application of Change Management (ChM) frameworks. Some of these challenges include: (i) the ins... Read More about OntoSoS.BPA.ChM: A semantically-enriched and business process architecture-driven framework for change management in system of systems context.

Immersive control of a robot surrogate for users in palliative care (2020)
Conference Proceeding
Mackey, B. A., Bremner, P. A., & Giuliani, M. (2020). Immersive control of a robot surrogate for users in palliative care. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20 Companion) (585-587). https://doi.org/10.1145/3371382.3377445

Quality of life (QoL) is especially important for palliative care patients, who can be at risk of mental health issues. This project aims to design and implement an immersive control system for a robotic surrogate, that allows users to interact as na... Read More about Immersive control of a robot surrogate for users in palliative care.

An application of HRI in low-cost digital manufacturing (2020)
Conference Proceeding
De Silva, L., Hawkridge, G., Terrazas, G., Perez Hernandez, M., Thorne, A., McFarlane, D., & Tlegenov, Y. (2020). An application of HRI in low-cost digital manufacturing. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (71). https://doi.org/10.1145/3371382.3378204

Digital Manufacturing (DM) broadly refers to applying digital information to enhance manufacturing processes, supply chains, products and services. In past work we proposed a low-cost DM architecture, supporting flexible integration of legacy robots.... Read More about An application of HRI in low-cost digital manufacturing.

The effect of virtual reality control of a robotic surrogate on presence and social presence in comparison to telecommunications software (2020)
Conference Proceeding
Mackey, B. A., Bremner, P. A., & Giuliani, M. (2020). The effect of virtual reality control of a robotic surrogate on presence and social presence in comparison to telecommunications software. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20 Companion) (349-351). https://doi.org/10.1145/3371382.3378268

Telecommunication software is often used to tackle social isolation in those with restricted mobility, but lacks high-level interactions found in face-to-face conversation. This study investigated the use of an immersive control system for a robotic... Read More about The effect of virtual reality control of a robotic surrogate on presence and social presence in comparison to telecommunications software.

DFIOT: Data Fusion for Internet of Things (2020)
Journal Article
Boulkaboul, S., & Djenouri, D. (2020). DFIOT: Data Fusion for Internet of Things. Journal of Network and Systems Management, 28(4), 1136-1160. https://doi.org/10.1007/s10922-020-09519-y

In Internet of Things (IoT) ubiquitous environments, a high volume of heterogeneous data is produced from different devices in a quick span of time. In all IoT applications, the quality of information plays an important role in decision making. Data... Read More about DFIOT: Data Fusion for Internet of Things.