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All Outputs (97)

A Novel Fuzzy Logic Framework for Model Reliability Evaluation in Permeability Prediction Using GPR (2024)
Presentation / Conference Contribution

Permeability is a critical parameter in reservoir engineering and hydrocarbon extraction, yet its prediction remains challenging due to inherent uncertainties in subsurface data. While Gaussian Process Regression (GPR) has proven effective in predict... Read More about A Novel Fuzzy Logic Framework for Model Reliability Evaluation in Permeability Prediction Using GPR.

Equilibrium-based Approach To Establish Hinge Locations In Single-span Back-filled Masonry Arch Bridges Under Arbitrary Surcharge (2024)
Presentation / Conference Contribution

The assessment of masonry arches has gained significant importance due to the substantial reliance of transportation infrastructure on historic structures. Over the past few decades, there has been a discernible shift in the focus towards understandi... Read More about Equilibrium-based Approach To Establish Hinge Locations In Single-span Back-filled Masonry Arch Bridges Under Arbitrary Surcharge.

Comparing the Human Response of Unmanned Aircraft System Noise and Other Transportation Noise (2024)
Presentation / Conference Contribution

An experiment was designed to investigate the perception of noise from different Unmanned Aircraft System (UAS) alongside three other vehicle types, including road traffic, conven tional aircraft, and helicopters. The aim of this experiment was to un... Read More about Comparing the Human Response of Unmanned Aircraft System Noise and Other Transportation Noise.

How do flight operations and ambient acoustic environments influence noticeability and noise annoyance associated with unmanned aircraft systems? (2024)
Presentation / Conference Contribution

In advance of anticipated wider deployments of advanced air mobility technology, the potential effects of introducing new sound sources such as unmanned aircraft systems (UAS, aka ‘drones’) on communities are largely unknown. To support the developme... Read More about How do flight operations and ambient acoustic environments influence noticeability and noise annoyance associated with unmanned aircraft systems?.

An Optimized Field Programmable Gate Array Based Noise Reduction Techniques for Fetal Electrocardiogram Signal Processing (2024)
Presentation / Conference Contribution

Analyzing fetal electrocardiogram (FECG) signals is essential for identifying fetal cardiac disorders early on, although noise interference is still a problem. Conventional signal processing techniques can produce conflicting findings. With an emphas... Read More about An Optimized Field Programmable Gate Array Based Noise Reduction Techniques for Fetal Electrocardiogram Signal Processing.

An acoustic and psychoacoustic assessment on the noise control of propellers in distributed propulsion configuration using phase-synchronisation Session: Experimental Techniques (2024)
Presentation / Conference Contribution

Distributed electric propulsion is widely recoginised as a promising propulsion configuration for next-generation aerial vehicles, including short-to-medium-haul passenger aircraft and urban air mobility vehicles. The presence of multiple propulsors... Read More about An acoustic and psychoacoustic assessment on the noise control of propellers in distributed propulsion configuration using phase-synchronisation Session: Experimental Techniques.

Improvement of OLSRv2 massage format and message interval to reduce routing overhead in a D2D communication network (2024)
Presentation / Conference Contribution

Optimized Link State Routing Protocol (OLSR) is one of the most famous and widely used proactive routing protocols in Device-to-Device (D2D) communication network. The traditional OLSR and OLSRv2 experience significantly higher routing overhead due t... Read More about Improvement of OLSRv2 massage format and message interval to reduce routing overhead in a D2D communication network.

Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements (2024)
Presentation / Conference Contribution

This study investigates the challenges of permeability prediction in reservoir engineering, focusing on addressing uncertainties inherent in the data and modelling process, and leveraging Nuclear Magnetic Resonance (NMR) log data from the Northern Se... Read More about Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements.