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Efficient maintenance of highway cover labelling for distance queries on large dynamic graphs
Graphs in real-world applications are typically dynamic which undergo rapid changes in their topological structure over time by either adding or...
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Fast fully dynamic labelling for distance queries
Finding the shortest-path distance between an arbitrary pair of vertices is a fundamental problem in graph theory. A tremendous amount of research...
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Spectroscopically Orthogonal Labelling to Disentangle Site-Specific Nitroxide Label Distributions
Biomolecular applications of pulse dipolar electron paramagnetic resonance spectroscopy (PDS) are becoming increasingly valuable in structural...
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Age Estimation Using Soft Labelling Ordinal Classification Approaches
This work explores the use of diverse soft labelling approaches recently proposed in the literature to address four distinct problems in age...
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WebLabel: OpenLABEL-compliant multi-sensor labelling
Annotated datasets have become crucial for training Machine Learning (ML) models for develo** Autonomous Vehicles (AVs) and their functions....
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BatchHL\(^{+}\): batch dynamic labelling for distance queries on large-scale networks
Many real-world applications operate on dynamic graphs to perform important tasks. In this article, we study batch-dynamic algorithms that are...
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Labelling of Radioactive Substances and Areas
With regard to labelling, a distinction must be made not only between transport regulations and regulations of chemicals, as is the case with “purely...
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Automatic Sentiment Labelling of Multimodal Data
This study investigates the challenging problem of automatically providing sentiment labels for training and testing multimodal data containing both...
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Labelling instructions matter in biomedical image analysis
Biomedical image analysis algorithm validation depends on high-quality annotation of reference datasets, for which labelling instructions are key....
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Automated neuronal reconstruction with super-multicolour Tetbow labelling and threshold-based clustering of colour hues
Fluorescence imaging is widely used for the mesoscopic map** of neuronal connectivity. However, neurite reconstruction is challenging, especially...
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Gene Gun DiOlistic Labelling of Retinal Ganglion Cells
Gene gun DiOlistic labelling enables the detailed visualization of retinal ganglion cells (RGCs) dendritic structure. Since the level of labelling is...
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A VR Tool for Labelling 3D Data Sets
Point clouds are a common representation of 3D scenes, and labelled point clouds are necessary as input to many machine learning systems. Current...
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Deviance and Labelling
This chapter explores the social construction of deviance as, once social rules deemed necessary for group survival are broken, categorisation...
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Multi-granular software annotation using file-level weak labelling
ContextOne of the most time-consuming tasks for developers is the comprehension of new code bases. An effective approach to aid this process is to...
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Global profiling of functional histidines in live cells using small-molecule photosensitizer and chemical probe relay labelling
Recent advances in chemical proteomics have focused on develo** chemical probes that react with nucleophilic amino acid residues. Although...
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GATS tag system is compatible with biotin labelling methods for protein analysis
Polypeptide tags and biotin labelling technologies are widely used for protein analyses in biochemistry and cell biology. However, many peptide tag...
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Modified TANYAKUMU Labelling Method to Solve Equality Generalized Travelling Salesman Problem
Equality generalized travelling salesman problem (E-GTSP) is a variant of the travelling salesman problem where the set of cities are partitioned to...
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Labelling, Signs and Graphics
The principles and guidance set out in this chapter apply to any plate, sign, placard, inscription, legend, marking, or combination of these that...
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Evaluation of segment anything model (SAM) for automated labelling in machine learning classification of UAV geospatial data
With the present trend toward digitization in many areas of urban planning and development, accurate object classification is becoming increasingly...
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Automated detection, labelling and radiological grading of clinical spinal MRIs
Spinal magnetic resonance (MR) scans are a vital tool for diagnosing the cause of back pain for many diseases and conditions. However, interpreting...
