University of Edinburgh — CS Research

Computer science research from University of Edinburgh, including NLP, machine learning, robotics, and formal methods.

Sample of the collection (25 of 1,926 items)

• Predictive design of crystallographic chiral separation University of Cambridge The efficient separation of chiral molecules is a fundamental challenge in the manufacture of pharmaceuticals and light-polarising…
• A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming ETH Zurich Abstract. Agricultural ammonia (NH3) emissions are a major pathway of nitrogen loss, which can have significant environmental…
• Additive manufacturing in aluminium of a primary mirror for a CubeSat application: manufacture, testing, and evaluation UK Astronomy Technology Centre Additive manufacturing (AM; 3D Printing), a process which creates a part layer-by-layer, has the potential to improve upon conventional…
• Explainability in machine learning: a pedagogical perspective Linköping University Introduction Machine learning courses usually focus on getting students prepared to apply various models in real-world settings, but…
• On the design of ultra-sparse seismic surveys for monitoring subsurface CO2 storage sites using full waveform inversion University of Edinburgh Monitoring the dynamics of CO 2 in subsurface reservoirs allows the conformance of carbon capture and storage (CCS) projects to be…
• Experimental investigation of thickness effects in the manufacture of thick-section composite structures using liquid thermoplastic resin Engineering and Physical Sciences Research Council <p dir="ltr">Thick-section composites (10–100 mm) are increasingly used in structurally demanding applications. Growing interest in…
• Preventing gambling-related harm among adolescents (PRoGRAM-A): an embedded multi-modal process evaluation in a pilot cluster random control trial University of Edinburgh Young people’s engagement in gambling can be linked to gambling-related harm. This can cause stress, anxiety, relationship issues, debt,…
• Experimental and numerical study of strain distributions and shear lag effects in FRP tendon pull-out experiments ETH Zurich In the present study, sand-coated carbon fiber reinforced polymer (CFRP) tendons were instrumented with integrated optical fibers. The…
• Optimising Manufacturing Efficiency: A Data Analytics Solution for Machine Utilisation and Production Insights University of Edinburgh This paper proposes a non-invasive, data-driven methodology for monitoring and optimising machine utilisation in manufacturing…
• Unsupervised Deep-Learning-Based Error Image Prior (DLEIP) Algorithm for Lung Electrical Impedance Tomography (EIT) Xidian University A novel unsupervised algorithm, named Deep Learning-based Error Image Prior (DLEIP), is proposed for lung Electrical Impedance…
• Co-design methodology for rapid prototyping of modular robots in care settings Heriot-Watt University Introduction: This paper introduces a structured co-design methodology for developing modular robotic solutions for the care sector.…
• Materials for 3D printing of chromatographic stationary phases University of Edinburgh Stationary phases fabricated using 3D printing hold the promise of enhancing chromatography performance, offering bespoke solutions with…
• Assessment of coarse grained CFD–DEM modelling strategies in horizontal plug flow pneumatic conveying Procter & Gamble (United Kingdom) The computational expense of CFD–DEM simulations can become infeasible at an industrial scale, where the number of particles may reach…
• Disaggregated mediation: the localisation of peace processes amid global and domestic fragmentation University of Stirling In recent years, comprehensive peace agreements have reduced in frequency, and international mediation initiatives have become…
• Fairness by Design: Cross-Cultural Perspectives from Children on AI and Fair Data Processing in their Education Futures University of Edinburgh AI-driven educational technologies (AI-EdTech) process extensive data, raising concerns about commercial exploitation of children's data…
• Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams University of Edinburgh In today's web-scale, data-driven environments, real-time detection of persistent items that consistently recur over time is essential…
• Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Monash University The application of Contrastive Language-Image Pre-training (CLIP) in Weakly Supervised Semantic Segmentation (WSSS) research…
• Data-Efficient Tactile Sensing With Electrical Impedance Tomography University of Edinburgh Electrical impedance tomography (EIT)-inspired tactile sensors are gaining attention in robotic tactile sensing due to their…
• Economic and ENvironmental Impact Assessment for Sustainability (EENIAS): An innovative method to support design for remanufacturing and remanufacturability evaluation University of Strathclyde Significant effort has recently been directed towards promoting remanufacturing as a circular and sustainable approach to production.…
• Architectures of assetization: Legacy infrastructures and the configuration of datafication in UK higher education York University We outline the concept of ‘architectures of assetization’ as a way to get at the political-economic configuration of datafication in…
• The role of virtual field trips in Geography higher education: A perspective paper University of York Abstract In this perspective paper, we explore the role virtual field trips (VFTs) may play in creating a more resilient, sustainable…
• Enhancing Preservice Teachers’ Use of Dialogic Teaching and Dynamic Visualizations in Mathematics Classes: Bridging the Knowing–Doing Gap Education University of Hong Kong Abstract Talking productively with students and sufficiently integrating technology into mathematics classrooms have long been regarded…
• Quantum-enhanced Markov chain Monte Carlo for systems larger than a quantum computer University of Edinburgh Quantum computers theoretically promise computational advantages in many tasks, but it is much less clear how such advantages can be…
• Development of a Capacitive-Piezoelectric Tactile Force Sensor for Static and Dynamic Forces Measurement and Neural Network-Based Texture Discrimination National University of Sciences and Technology Taking inspiration from human tactile system, a sensitive biomimetic multimodal tactile sensor for discrimination of static and dynamic…
• Using WhatsApp for Nutrition Surveillance Among Children Under 5 Years in West Java, Indonesia: Cross-Sectional Survey and Feasibility Study Universitas Muhammadiyah Tangerang Background: Large-scale programs involving nutrition-specific interventions have been carried out in Indonesia as a community-based…

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