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RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning
Published 2022-06-01“…The geosynchronous orbit satellite has the largest coverage and the strongest computing processing capability. This paper uses deep reinforcement learning algorithms to implement edge security decisions for satellite networks. …”
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26266
dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors
Published 2025-02-01“…These findings underscore the value of integrating computational predictions with experimental validation, enhancing the reliability of virtual screening in the discovery of potent enzyme inhibitors.…”
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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm
Published 2024-12-01“…Existing methods often use image enhancement to improve detection, which results in a large amount of computational resource consumption. To address these challenges, this paper proposes a detection method, 3L-YOLO, based on YOLOv8n, which eliminates the need for image enhancement modules. …”
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A Person-Based Adaptive Traffic Signal Control Method with Cooperative Transit Signal Priority
Published 2022-01-01“…Person-based signal control systems, which transform traffic delay computation units from vehicle to passenger, have been proposed to try to address this limitation. …”
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Dosimetry Assessment of Potential Hazard from Visible Light, Especially Blue Light, Emitted by Screen of Devices in Daily Use
Published 2025-01-01“…We measured the irradiance (mW/cm2) and estimated dose (J/cm2) of visible light and blue light emitted from various electronic devices including smartphones, tablets and computers. The measurement was done in normal screen mode and night shift mode at different brightness levels and distances across six screens. …”
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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
Published 2024-06-01“…Advances in artificial intelligence, Machine Learning (ML), and cloud computing have revitalized research and applications in this domain. …”
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Abdominal Pain as First Manifestation of New Coronavirus Infection COVID-19
Published 2020-12-01“…Acute abdomen was diagnosed negative, chest computed tomography (CT) revealed two-sided ground-glass opacity, discharged. …”
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Case Report: Endoscopic lumbar interbody fusion using percutaneous unilateral biportal endoscopy and 3D printing for an andersson lesion in ankylosing spondylitis
Published 2025-01-01“…In this study, we first used UBE with endoscopic LIF for an AL between T12 and L1 in a 43-year-old male patient with good clinical outcomes.MethodsA 43-year-old man was admitted to our hospital due to recurrent back pain for 8 years. Based on imaging (computed tomography and radiography) findings, medical history, and clinical examination, we carried out an HLA-B27 blood test to confirm the diagnosis of AS with AL. …”
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Imaging in connective tissue disease-associated interstitial lung disease
Published 2021-01-01“…LUS could be a useful tool in the early screening of younger patients at risk of ILD and in minimizing cumulative radiation exposure. High-resolution computed tomography (HRCT) remains the modality of choice in characterization, assessment of disease severity/progression, and response to therapy. …”
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Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging
Published 2025-02-01“…Despite advances in acquisition technologies and segmentation architectures, one of the main challenges of subacute stroke lesion segmentation in computed tomography (CT) imaging is image contrast.MethodsTo address this issue, we propose a method to assess the contrast quality of an image dataset with a ML trained model for segmentation. …”
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Newly developed genomic SSR markers revealed the population structure and genetic characteristics of abaca (Musa textilis Nee)
Published 2024-12-01“…Our study highlights the diversity, identity, and genetic variation within the abaca collection using accurate, robust, cost-effective, and computationally simple genome-specific markers. These markers are pivotal for genetic studies of abaca, including trait-marker mapping and the differentiation of accessions even in the juvenile stage, when phenotypic differences may be subtle.…”
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Clinical Presentation and Management Strategies in Intraorbital Foreign Bodies
Published 2021-01-01“…The periocular location of the foreign bodies was inferior in 4 cases and medial in 3 cases. Computed Tomography scan confirmed the diagnosis in five cases and Magnetic Resonance Imaging (MRI) was diagnostic in one. …”
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Prediction model and real-time diagnostics of hydraulic fracturing pressure for highly deviated wells in deep oil and gas reservoirs
Published 2025-01-01“…Based on the well trajectory, pumping process, and string structure of highly deviated wells, a movement interface model for the fracturing fluid at different stages within the wellbore has been established, using the method of computational fluid dynamics. This model analyzes the fluid movement behavior with diverse properties at various fracturing times and determines the relationship between the pressure changes at the leading and trailing edges of fluid movement in each section of the wellbore over time by combining different string structures and preset pumping procedures. …”
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Dynamic Reliability Design of Multicomponent Structure with Improved Weighted Regression Distributed Collaborative Surrogate Model Method
Published 2018-01-01“…The ERSM is used to address the dynamic reliability and sensitivity analyses of multicomponent structures and enhance the computing efficiency. The decomposed-coordinated thought is applied to handle the relationship among multiple components. …”
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