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Browsing by Author "Sun, Yi"
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Adaptive electrical signal post-processing with varying representations in optical communication systems
Hunt, Stephen; Sun, Yi; Shafarenko, Alex; Adams, Roderick; Davey, N.; Slater, Brendan; Bhamber, Ranjeet; Boscolo, Sonia; Turitsyn, Sergei K. (2009)Improving bit error rates in optical communication systems is a difficult and important problem. Error detection and correction must take place at: high speed, and be extremely accurate. Also, different communication ... -
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 ... -
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 feature selection to the development of Gaussian process models for percutaneous absorption.
Lam, L.T.; Sun, Yi; Davey, N.; Adams, Roderick; Prapopoulou, M.; Brown, Marc; Moss, Gary (2010)Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ... -
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 ... -
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 ... -
Attention mechanisms and component-based face detection.
Han, J.W.; Lane, P.C.R.; Davey, N.; Sun, Yi (IEEE, 2009)Locating and identifying complex objects in a visual scene is a typical problem within the areas of computer vision and image analysis. One technique to minimise the size of image to be identified is to base the classification ... -
An automatic taxonomy of galaxy morphology using unsupervised machine learning
Hocking, Alex; Geach, James E.; Sun, Yi; Davey, Neil (2017-09-15)We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches ... -
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
Al-Shourbaji, Ibrahim; Helian, Na; Sun, Yi; Alshathri, Samah; Abd Elaziz, Mohamed (2022-03-23)The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to ... -
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition
Iyer, Shreyah; Glackin, Cornelius; Cannings, Nigel; Veneziano, Vito; Sun, Yi (Institute of Electrical and Electronics Engineers (IEEE), 2022-09-30)Creating speech emotion recognition models com-parable to the capability of how humans recognise emotions is a long-standing challenge in the field of speech technology with many potential commercial applications. As ... -
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance
Bhavsar, Ronakben; Sun, Yi; Helian, Na; Davey, Neil; Mayor, David; Steffert, Tony (2018-02-03)Biomedical signals such as electroencephalogram (EEG) are the time varying signal, and different position of electrodes give different time varying signals. There might be a correlation between these signals. It is likely ... -
Customer Churn Prediction in Telecom Sector: A Survey and way a head
AlShourbaji, Ibrahim; Helian, Na; Sun, Yi; Alhameed, Mohammed (2021-01-01)The telecommunication (telecom)industry is a highly technological domain has rapidly developed over the previous decades as a result of the commercial success in mobile communication and the internet. Due to the strong ... -
Deep Learning for Condition Detection in Chest Radiographs: A Performance Comparison of Different Radiograph Views and Handling of Uncertain Labels
Ahmad, Mubashir; Koay, Kheng; Sun, Yi; Jayaram, Vijay; Arunachalam, Ganesh; Amirabdollahian, Farshid (2023-04-28)Chest radiographs are the initial diagnostic modality for lung or chest-related conditions. It is believed that radi- ologist’s availability is a bottleneck impacting patient’s safety because of long waiting times. With ... -
Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation
Sun, Yi; Hewitt, Mark; Wilkinson, Simon C; Davey, Neil; Adams, Roderick; Gullick, Darren; Moss, Gary (2020-07)Objectives The current study aims to determine the effect of physicochemical descriptor selection on models of polydimethylsiloxane permeation. Methods 2,942 descriptors were calculated for a dataset of 77 chemicals. Data ... -
Effect of using varying negative examples in transcription factor binding site predictions
Rezwan, Faisal; Sun, Yi; Davey, N.; Adams, Roderick; Rust, A.G.; Robinson, M. (2011)Identifying transcription factor binding sites computationally is a hard problem as it produces many false predictions. Combining the predictions from existing predictors can improve the overall predictions by using ... -
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization
AlShourbaji, Ibrahim; Helian, Na; Sun, Yi (2023-09-02)Customer churn remains a critical challenge in telecommunications, necessitating effective churn prediction (CP) methodologies. This paper introduces the Enhanced Gradient Boosting Model (EGBM), which uses a Support Vector ... -
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis
Bhavsar, Ronakben; Davey, Neil; Helian, Na; Sun, Yi; Steffert, Tony; Mayor, David (2018-12-11)Recently, different algorithms have been suggested to improve Sample Entropy (SE) performance. Although new methods for calculating SE have been proposed, so far improving the efficiency (computational time) of SE calculation ... -
An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption
Brown, Marc; Lau, Chi-Hian; Lim, Sian T.; Sun, Yi; Davey, N.; Moss, Gary P.; Yoo, Seon-Hie; De Muynck, Christian (2012-04)Objectives: The developments in combinatorial chemistry have led to a rapid increase in drug design and discovery and, ultimately, the production of many potential molecules that require evaluation. Hence, there has been ... -
Further thoughts on precision
Gray, D.; Bowes, David; Davey, Neil; Sun, Yi; Christianson, B. (2011)Background: There has been much discussion amongst automated software defect prediction researchers regarding use of the precision and false positive rate classifier performance metrics. Aim: To demonstrate and explain why ...