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crossref
2025-06-30T17:04:57Z
置信度 0.70
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<p>Background This article informs librarians on how to integrate supervised machine learning with personnel management practices. Objectives include: (1) addressing and identifying the application of machine learning to libraries and archives by explori…
crossref
Gregory Tharp
2025-09-20T08:21:01Z
置信度 0.70
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The conformational flexibility of RNA molecules enables them to play vital physiological roles, including carrying genetic information, catalyzing reactions, and forming organelles. However, this structural diversity complicates the quantitative sampling of th…
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Sompriya Chatterjee, Dhiman Ray
2025-11-07T11:55:32Z
置信度 0.70
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This research study explores the usage of machine learning techniques in the improvement of energy executives' strategies for electric vehicles (EVs), with a particular accentuation on estimating EV-related variables and classifying price ranges. The study use…
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Md Shameem Ahsan
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2026-02-07T21:09:45Z
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Baher Mohamed, Enfel Barkat
2025-04-01T17:46:49Z
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Abstract In this chapter we revisit supervised ML and apply it to text data. We particularly utilize a LLM in the fine-tuning paradigm to showcase how these models can be used in science education research projects.
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Peter Wulff, Marcus Kubsch, Christina Krist
2025-02-28T10:44:43Z
置信度 0.70
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This chapter explores the advancements in multi-stage threat detection systems utilizing hybrid machine learning models that integrate both static and dynamic data features. It delves into the significance of combining these data types for superior threat clas…
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The structural health of civil infrastructure plays a pivotal role in ensuring safety, resilience, and long-term functionality. Traditional inspection and monitoring techniques, though effective, often suffer from inefficiencies due to human subjectivity, labo…
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2025-07-01T12:48:44Z
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Counterfeiting is a growing global issue, causing substantial financial losses and damaging brand reputations across various sectors, including currency, luxury goods, and pharmaceuticals. Traditional detection methods are often inadequate in identifying sophi…
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Recent advances in climate model emulation have been shown to accurately represent atmospheric variables from large general circulation models, but little investigation has been done into emulating land-related variables. The land-carbon sink absorbs around a …
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europepmc
2026
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europepmc
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europepmc
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Driver drowsiness is a leading cause of traffic accidents and fatalities, highlighting the urgent need for intelligent systems capable of real-time fatigue detection. Although recent advancements in machine learning (ML) and deep learning (DL) have significant…
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europepmc
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europepmc
2026
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europepmc
2025
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Abstract In the mineral sector, many processes use water for ore beneficiation processes. A lack of sensing or control of water content can lead to operational problems in various mineral processing operations, especially in ore transport. Current instrumentat…
europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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preprints
2025
置信度 0.74
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Background Variant Call Format (VCF) is the standard file format for interchanging genetic variation data and associated quality control metrics. The usual row-wise encoding of the VCF data model (either as text or packed binary) emphasises efficient retrieval…
preprints
2024
置信度 0.74
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English Abstract: The history of South Korea’s spectacular growth trajectory is based on its export prowess, and that industrialization narrative is based on a supply chain strategy that connected the economy to the global economy. Korea was able to manage thi…
preprints
2022
置信度 0.74
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preprints
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