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Fully automated differential fault analysis on software implementations of block ciphers
Published 2020“…Moreover, we present a novel DFA on multiplication operation that has never been shown for symmetric block ciphers before. …”
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Journal Article -
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Pricing data tampering in automated fare collection with NFC-equipped smartphones
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Journal Article -
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Information FOMO: The Unhealthy Fear of Missing Out on Information—A Method for Removing Misleading Data for Healthier Models
Published 2024“…Misleading or unnecessary data can have out-sized impacts on the health or accuracy of Machine Learning (ML) models. …”
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Direct Comparison of Numerical Simulations and Experiments of $$\hbox {CO}_2$$ Injection and Migration in Geologic Media: Value of Local Data and Forecasting Capability
Published 2024“…The accuracy and robustness of numerical models of geologic CO2 sequestration are almost never quantified with respect to direct observations that provide a ground truth. …”
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AI (Artificial Intelligence) is MACHINE USEFULNESS
Published 2024“…Harvard Law Professor Paul Freund, a constitutional scholar, asserted that the Supreme Court “should never be influenced by the weather of the day but inevitably will be influenced by the climate of the era.” …”
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Effect of early and later prone positioning on outcomes in invasively ventilated COVID-19 patients with acute respiratory distress syndrome: analysis of the prospective COVID-19 cr...
Published 2025“…We compared outcomes between patients prone positioned within 48 h of IMV to those (i) never proned, and (ii) proned only after 48 h. Results: 3131 patients had data on prone positioning, 1482 (47%) were never proned, 1034 (33%) were proned within 48 h and 615 (20%) were proned only after 48 h of commencement of IMV. 28-day (hazard ratio 0.82, 95% confidence interval [CI] 0.68, 0.98, p = 0.03) and 90-day (hazard ratio 0.81, 95% CI 0.68, 0.96, p = 0.02) mortality risks were lower in those patients proned within 48 h of IMV compared to those never proned. …”
Journal article -
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Predicting the antigenicity and reassortment probability of influenza viruses
Published 2019“…As such, the aim of this project is to aid the aforementioned through developing two web applications, by proposing and applying various computation methods to data. In the first web application, by providing an antigenic database consisting of virus information and HI assays data, researchers are able to upload/retrieve data to predict the antigenic similarity between viruses using computational analysis methods such as context-free encoding scheme. …”
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Final Year Project (FYP) -
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Kinect-based automatic sign language recognition
Published 2018“…The focus of this paper will be improving the accuracy of hand signs recognition for user’s input data during image mapping phase and improve the model performance by applying different data separation methods.…”
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Final Year Project (FYP) -
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Smart-contract privacy preservation mechanism
Published 2023“…The proposed framework provides a satisfactory level of data utility and privacy preservation.…”
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Article -
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Hydrological & hydrodynamic modelling of the Baliem River in Highland Papua, Indonesia
Published 2023“…The hydrology of the Baliem River in Highland Papua, Indonesia, has never been previously studied, despite its importance to the local populace. …”
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Final Year Project (FYP) -
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Hominin brain size increase has emerged from within-species encephalization
Published 2024“…Using a phylogenetic approach never applied before to paleoanthropological data, we show that relative brain size increase across ~7 My of hominin evolution arose from increases within individual species which account for an observed overall increase in relative brain size. …”
Journal article -
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Search for QCD instantons at the LHC using the ATLAS Detector
Published 2023“…This thesis presents the design of the first search for QCD instantons at the LHC, which is based on $1.693~\mathrm{nb}^{-1}$ of low-pileup data collected by the ATLAS Experiment in 2015. …”
Thesis -
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Safety assessment of autonomous vehicles using simulations
Published 2018“…Safety is analysed by recording the vehicle behaviour data, using simulations, and calculating some crucial parameters. …”
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Thesis -
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Exploring the development of a firewall using Windows filtering platform
Published 2009“…The data for the firewall should be rebuilt if saved data is being altered in any other way. …”
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Final Year Project (FYP) -
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Effects of three-dimensional radar display on emotion and stress during continuous climb and descent in ATC operations
Published 2018“…The world of aviation has come a long way from its humble beginnings of just satisfying human desire to fly to a massive network of intercontinental passenger flights. This will never be achieve without the advancement of technology both in flight but also in Air Traffic Management. …”
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Final Year Project (FYP) -
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Improving productivity of the food and beverage (F&B) industry using iBeacon
Published 2019“…It contains a small amount of data, such as advertisements, menus, health tips etc., to give more information to the consumer. …”
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Final Year Project (FYP) -
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Project Managers Selection in the Construction Industry: Towards the Integration with Artificial Emotional Intelligence and Technology
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Article -
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Online Measurement for Parameter Discovery in Fused Filament Fabrication
Published 2024“…Our method allows us to successfully find process parameters, using one set of input parameters, across all of the machine and material configurations that we tested, even in materials that we had never printed before. Rather than using direct parameters in FFF printing, which is time-consuming to tune and modify, it is possible to deploy machine-generated data that captures the fundamental phenomenology of FFF to automatically select parameters.…”
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Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs
Published 2024“…However, the systematic discovery of microstructured composites with optimal stiffness-toughness trade-offs has never been demonstrated, hindered by the discrepancies between simulation and reality and the lack of data-efficient exploration of the entire Pareto front. …”
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Article