With the rapid acceleration of global urbanization and the increasing demand for inter-regional transportation, extensive underground infrastructure projects, including subsea tunnels, mountain tunnels, and urban subway systems, are being…
Category: 7. Maths
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Prediction of the corrosion rates of subsea pipelines via KPCA
Principles of the NGO algorithm
The Northern Goshawk optimization (NGO) algorithm was introduced in 2022 by Mohammad Dehghani and colleagues. The algorithm replicates the Northern Goshawk’s behaviour during hunting, focusing on prey recognition,…
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A novel model for expanding horizons in sign Language recognition
Datasets
ASL dataset
The American Sign Language Recognition Dataset serves as a pivotal resource in the realm of visual-gestural languages, particularly utilized by individuals with hearing impairments and within the deaf community. The dataset…
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Quality prediction method for automotive body resistance spot welding based on digital twin technology
This study focuses on ordinary carbon steel materials (tensile strength not exceeding 440 MPa), which are widely used in automotive body structures. For this type of steel, welding data were collected from the automated body-in-white welding…
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The potential of multidimensional photonic computing
Mehonic, A. & Kenyon, A. J. Brain-inspired computing needs a master plan. Nature 604, 255–260 (2022).
Google Scholar
Sevilla, J. et al. Compute trends across three eras of machine…
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A directed greybox fuzzer for windows applications
In this section, we describe our methodology and the main aspects of the WinDGF in detail. As an innovative vulnerability detection framework, WinDGF addresses three fundamental challenges in Windows-directed fuzzing: (1) platform-specific…
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Random walk based snapshot clustering for detecting community dynamics in temporal networks
In this section, we present our new method Local Neighborhood Exploration (LNE) and its special case Invariant Measure Comparison (IMC). We illustrate its key steps and capabilities with a guiding example on a synthetic temporal network,…
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Machine learning assisted adjustment boosts efficiency of exact inference in randomized controlled trials
Hypothesis testing under non-parametric adjustment
In this work, we focus on RCTs with continuous outcomes and with an objective to compare two group means. Our method is based on the Rosenbaum’s framework. For details, please see5. As a brief…
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How key features of early development shape deep convective systems
Prediction of maximal size with growth rate only
Focusing first on the results when the learning relies solely on the initial evolution of the growth rate of the area, we begin by examining the impact of the observation period of the system on the…
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Research on traffic state prediction method based on traffic flow prediction under multi-time granularity
Experimental data
The experimental data in this paper came from 20 video base stations in Nanjing, and the collected traffic data were all traffic records arranged according to the collection time without processing. The location of the base…
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