Outputs (134)

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference Contribution

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.

Urinary Volatile Organic Compound Testing in Fast-Track Patients with Suspected Colorectal Cancer (2022)
Journal Article

Colorectal symptoms are common but only infrequently represent serious pathology, including colorectal cancer (CRC). A large number of invasive tests are presently performed for reassurance. We investigated the feasibility of urinary volatile organic... Read More about Urinary Volatile Organic Compound Testing in Fast-Track Patients with Suspected Colorectal Cancer.

Statistical modeling of sensitive period effects using the structured life course modelling approach (SLCMA) (2022)
Book Chapter

Sensitive periods are times during development when life experiences can have a greater impact on outcomes than at other periods during the life course. However, a dearth of sophisticated methods for studying time-dependent exposure-outcome relations... Read More about Statistical modeling of sensitive period effects using the structured life course modelling approach (SLCMA).

Spontaneous and driven growth of multicellular lipid compartments to millimeter size from porous polymer structures** (2022)
Journal Article

This report describes a method to obtain multicellular shaped compartments made by lipids growing from a sponge-like porous structure. Each compartment is several tens of micrometers in diameter and separated by membranes comprised of phospholipid an... Read More about Spontaneous and driven growth of multicellular lipid compartments to millimeter size from porous polymer structures**.

Computing on wheels: A deep reinforcement learning-based approach (2022)
Journal Article

Future generation vehicles equipped with modern technologies will impose unprecedented computational demand due to the wide adoption of compute-intensive services with stringent latency requirements. The computational capacity of the next generation... Read More about Computing on wheels: A deep reinforcement learning-based approach.

Hybrid RESNET and regional convolution neural network for accident estimation (2022)
Journal Article

Road safety is tackled and an intelligent deep learning framework is proposed in this work, which includes outlier detection, vehicle detection, and accident estimation. The road state is first collected, while an intelligent filter, based on SIFT ex... Read More about Hybrid RESNET and regional convolution neural network for accident estimation.

Video based convolutional neural networks forecasting for rainfall forecasting (2022)
Journal Article

This study presents a new methodology for improving forecasts of current monthly, regional precipitation using video-based convolutional neural networks (CNNs). Using 13 administrative regions of Great Britain as a case study, three CNN architectures... Read More about Video based convolutional neural networks forecasting for rainfall forecasting.

Empirical studies in end-user computer-generated music composition systems (2022)
Thesis

Computer music researchers dream of the perfect algorithm, in which the music generated is indistinguishable from, or even superior to, that composed by the world’s most talented composers. However, the fulfilment of this aim remains ambitious. This t... Read More about Empirical studies in end-user computer-generated music composition systems.

LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST (2022)
Presentation / Conference Contribution

The present paper considers emerging Internet of Things (IoT) applications and proposes a Long Short Term Memory (LSTM) based neural network for predicting the end of the broadcasting period under slotted CSMA (Carrier Sense Multiple Access) based MA... Read More about LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST.

Exploring collaborative working of undergraduate students through virtual worlds: A study conducted in a Sri Lankan context (2022)
Thesis

Collaborative work is a type of learning activity given to students. This type of learning activity encourages students to work actively with their group members. Therefore, the participation of group members is important during group-based activitie... Read More about Exploring collaborative working of undergraduate students through virtual worlds: A study conducted in a Sri Lankan context.