Outputs (134)

Nasointestinal tube placement: Techniques that increase success (2022)
Journal Article

Background: Delayed gastric emptying (DGE) is a major cause of undernutrition that can be overcome using nasointestinal (NI) feeding, but tube placement often fails. We analyse which techniques enable successful NI tube placement. Methods: Efficacy o... Read More about Nasointestinal tube placement: Techniques that increase success.

Chemical Wave Computing from Labware to Electrical Systems (2022)
Journal Article

Unconventional and, specifically, wave computing has been repeatedly studied in laboratory based experiments by utilizing chemical systems like a thin film of Belousov–Zhabotinsky (BZ) reactions. Nonetheless, the principles demonstrated by this chemi... Read More about Chemical Wave Computing from Labware to Electrical Systems.

Deep synthesis of cloud lighting (2022)
Journal Article

Current appearance models for the sky are able to represent clear sky illumination to a high degree of accuracy. However, these models all lack a common feature of real-skies: clouds. These are an essential component for many applications which rely... Read More about Deep synthesis of cloud lighting.

The value of information for dynamic decentralised criticality computation (2022)
Presentation / Conference Contribution

Smart manufacturing uses advanced data-driven solutions to improve performance and operations resilience requiring large amounts of data delivered quickly, enabled by telecom networks and network elements such as routers or switches. Disruptions can... Read More about The value of information for dynamic decentralised criticality computation.

Ego-graph replay based continual learning for misinformation engagement prediction (2022)
Presentation / Conference Contribution

Online social network platforms have a problem with misinformation. One popular way of addressing this problem is via the use of machine learning based automated misinfor-mation detection systems to classify if a post is misinformation. Instead of po... Read More about Ego-graph replay based continual learning for misinformation engagement prediction.

Studying how digital luthiers choose their tools (2022)
Presentation / Conference Contribution

Digital lutherie is a sub-domain of digital craft focused on creating digital musical instruments: high-performance devices for musical expression. It represents a nuanced and challenging area of human-computer interaction that is well established an... Read More about Studying how digital luthiers choose their tools.

Machine in the middle: Exploring dark patterns of emotional human-computer integration through media art (2022)
Presentation / Conference Contribution

As our relationship with machines becomes evermore intimate, we observe increasing efforts in the quantification of human emotion, which has historically generated unintended consequences. We acknowledge an amplification of this trend through recent... Read More about Machine in the middle: Exploring dark patterns of emotional human-computer integration through media art.

Sensitive periods for the effect of childhood adversity on DNA methylation: Updated results from a prospective, longitudinal study (2022)
Journal Article

Vehicle detection using improved region convolution neural network for accident prevention in smart roads (2022)
Journal Article

This paper explores the vehicle detection problem and introduces an improved regional convolution neural network. The vehicle data (set of images) is first collected, from which the noise (set of outlier images) is removed using the SIFT extractor. T... Read More about Vehicle detection using improved region convolution neural network for accident prevention in smart roads.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference Contribution

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.