- UHRA Home
- Browsing by Author
Browsing by Author "Centre for Computer Science and Informatics Research"
Now showing items 41-60 of 1210
-
Analysis of the Fugl-Meyer outcome measures assessing the effectiveness of robot-mediated stroke therapy
Amirabdollahian, Farshid; Harwin, William S.; Loureiro, Rui C. V. (Institute of Electrical and Electronics Engineers (IEEE), 2008-04)Robot-mediated therapies offer a new approach to neurorehabilitation. This paper analyses the Fugl-Meyer data from the Gentle/S project and finds that the two intervention phases (sling suspension and robot mediated therapy) ... -
Analysis of the results from use of haptic peg-in-hole task for assessment in neurorehabilitation
Amirabdollahian, Farshid; Johnson, G. (2011)Haptic and robotic technologies have the potential to provide assessment during interaction with humans. This manuscript presents our earlier research during the I-Match project where a haptic peg-in-hole test was used in ... -
Analysis of the ‘Open Source Internet Research Tool’: A Usage Perspective from UK Law Enforcement
Williams, Joseph; Stephens, Paul (2020-07-07)Internet Intelligence and Investigations (i3) are a fundamental investigative tool of the modern law enforcement official (LEO) in an always-connected online era. Ensuring LEOs follow good procedure for such investigations ... -
Analytical time-domain model for radio over free space optical (RoFSO) systems considering the scintillation effect
Lim, Wansu; Cho, Tae-Sik; Yun, Changho; Kourtessis, Pandelis; Kim, Kiseon; Yang, Yeon-Mo (2012)An analytical time-domain model is presented to analyze a radio over free space optical (RoFSO) system considering the scintillation effect with a log-normal distribution. This analytical model uses a dual-drive Mach-Zehnder ... -
Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection
Kolosov, Dimitrios; Kelefouras, Vasilios; Kourtessis, Pandelis; Mporas, Iosif (2022-10-13)Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, ... -
Animated characters in bullying intervention
Woods, Sarah; Hall, L.; Sobral, D.; Dautenhahn, K.; Wolke, D. (2003)The VICTEC (Virtual ICT with Empathic Characters) project explores the use of animated characters in virtual environments for educational issues, such as bullying behaviour. 76 participants evaluated a prototype of the ... -
Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction
AlShourbaji, Ibrahim; Helian, Na; Sun, Yi; Alhameed, Mohammed (2021-09-17)Making class balance is essential when learning from highly skewed datasets; otherwise, a learner may classify all instances to a negative class, resulting in a high false-negative rate. As a result, a precise balancing ... -
Ants don't have friends: thoughts on socially intelligent agents
Dautenhahn, K. (AAAI, 1997)The question what is an agent? has been under dis cussion for many years. However, a consensus exists that the term 'agent' only makes sense in a multi-agent context - namely if there are at least two agents and assuming ... -
Apparent actions and apparent goal-directedness
Polani, D.; Biehl, Martin (2015-07)In human history countless phenomena have been (wrongly) attributed to agents. For instance, now science believes there are no gods (agents) of lightning, thunder and wind behind the associated phenomena. In physics (assuming ... -
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
Moss, Gary; Sun, Yi; Wilkinson, Simon C.; Davey, N.; Adams, Roderick; Martin, Gary P.; Prapopopolou, M.; Brown, Marc (2011-11)Objectives: Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key feature of this problem domain ... -
The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers
Moss, Gary; Shah, A.J.; Adams, R.G.; Davey, N.; Sun, Y.; Wilkinson, S.C.; Pugh, W.J. (2012-01-23)Discriminant analysis (DA) has previously been shown to allow the proposal of simple guidelines for the classification of 73 chemical enhancers of percutaneous absorption. Pugh et al. employed DA to classify such enhancers ... -
The application of Gaussian processes in the prediction of absorption across mammalian skin and synthetic membranes
Sun, Y.; Prapopoulou, M.; Adams, R.; Davey, N.; Moss, G. P.; Brown, Marc (2010-06) -
The application of Gaussian processes in the prediction of percutaneous absorption
Moss, Gary P.; Sun, Yi; Prapopoulou, Maria; Davey, N.; Adams, Roderick; Pugh, W. John; Brown, Marc (2009-09)Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ... -
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
Ashrafi, P.; Moss, G. P.; Wilkinson, S. C.; Davey, N.; Sun, Yi (2015-03-18)Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ... -
Application of support vector machines to detect hand and wrist gestures using a myoelectric armband
Amirabdollahian, Farshid; Walters, Michael (2017-07-21)The propose of this study was to assess the feasibility of using support vector machines in analysing myoelectric signals acquired using an off the shelf device, the Myo armband from Thalmic Lab. Background: With the ... -
The application of the flexilevel approach for the assessment of computer science undergraduates
Lilley, Mariana; Pyper, A. (2009)This paper reports on the use of the flexilevel approach for the formative assessment of Computer Science undergraduates. A computerized version of the flexilevel was designed and developed, and its scores were compared ... -
Applications of Artificial Intelligence in Battling Against Covid-19: A Literature Review
Tayarani, Mohammad (2020-10-03)Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of grave concern for every country around the world. ... -
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP)
Salge, Christoph; Short, Emily; Preuss, Mike; Samothrakis, Spyridon; Spronck, Pieter (2020-08-27)Live Action Role-Playing (LARP) games and similar experiences are becoming a popular game genre. Here, we discuss how artificial intelligence techniques, particularly those commonly used in AI for Games, could be applied ... -
Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data
Salawu, Emmanuel Oluwatobi; Hesse, Evelyn; Stopford, Chris; Davey, Neil; Sun, Yi (2017-11-01)Better understanding and characterization of cloud particles, whose properties and distributions affect climate and weather, are essential for the understanding of present climate and climate change. Since imaging cloud ... -
Applying Mobile Robot Technology to the Rehabilitation of Autistic Children
Werry, I.; Dautenhahn, K. (1999)The paper discusses the background and major motivations which are driving the AuRoRA--(Autonomous Robotic platform as a Remedial tool for children with Autism) research project. We argue--that mobile robot technology can ...