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Estimating Rainfall Erosivity in North Korea Using Automated Machine Learning: Insights into Regional Soil Erosion Risks
Published 2024-11-01Subjects: Get full text
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Big Data in Leadership Studies: Automated Machine Learning Model to Predict Preferred Leader Behavior Across Cultures
Published 2024-11-01Subjects: Get full text
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            1186
Artificial intelligence in education: Effects of using integrative automated writing evaluation programs on honing academic writing instruction
Published 2024-02-01Subjects: Get full text
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            1187
A digital platform for automated analysis of 1H NMR data: prototype framework of digital reference standard
Published 2025-01-01“…This proposed digital platform features a standardized quantitative NMR (qNMR) procedure, digital Reference Spectra within a spectral library, and a visualized interactive interface for streamlined, automated NMR data analysis. This digital platform significantly reduces the need for manual intervention and shows promise in using spectral fitting to compare the calculated spectrum derived from a digital Reference Spectrum with an experimental spectrum. …”
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Automated Syndesmotic Distance, Area, and Volume Measurements Using 3D Segmentations of Weightbearing Computed Tomography Scans
Published 2024-12-01“…The intraclass correlation coefficient (ICC) was measured for repeated automated measurements to evaluate the automation's consistency Results: The manual measurements required 19 (+/-4) minutes on average to perform for each case compared to 9 (+/-1) minutes for the automated measurements (P< 0.05). …”
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            1189
Glial Fibrillary Acidic Protein’s Usefulness as an Astrocyte Biomarker Using the Fully Automated LUMIPULSE<sup>®</sup> System
Published 2024-11-01“…This study presents the development and validation of a novel fully automated immunoassay for the quantitative determination of GFAP levels in biological samples. …”
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Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data
Published 2024-12-01“…Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. …”
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An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body 68Ga- DOTATATE PET/CT
Published 2024-11-01“…The goal of this study is to develop an artificial intelligence (AI) model for automated lesion segmentation on whole-body 3D DOTATATE-PET/CT and to automate the tumor burden calculation. 132 68Ga-DOTATATE PET/CT scans from 38 patients with metastatic and inoperable PPGL, were split into 70, and 62 scans, from 20, and 18 patients for training, and test sets, respectively. …”
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Citrus Cold Weather Protection and Irrigation Scheduling Tools Using Florida Automated Weather Network (FAWN) Data
Published 2009-09-01“…SL 296/SS509: Citrus Cold Weather Protection and Irrigation Scheduling Tools Using Florida Automated Weather Network (FAWN) Data (ufl.edu) …”
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Enhanced YOLOv8 With VTR Integration: A Robust Solution for Automated Recognition of OCS Mast Number Plates
Published 2024-01-01“…Against the backdrop of advancing automation and intelligence in rail transit, the accurate detection and recognition of Overhead Contact System (OCS) mast number plates are crucial for ensuring train safety. …”
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Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation
Published 2025-01-01“…In industrial factory automation and control system, reliable communication for automated guided vehicles (AGVs) in dynamic, interference laden factory settings are essential particularly for real-time operations. …”
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THE MAIN APPROACHES OF AUTOMATION OF THE PURCHASE PLANNING ON THE BASIS OF THE SYSTEM SAP R/З WITH REGARD TO WORKING CONDITIONS OF RUP «BMZ»
Published 2011-08-01“…The main approaches of purchase planning automation on the basis of the system SAP R/3 with regard to working conditions at RUP “BMZ” are examined.…”
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Knowledge Graphs in the Digital Twin: A Systematic Literature Review About the Combination of Semantic Technologies and Simulation in Industrial Automation
Published 2024-01-01“…Crucially, for the Digital Twin to be a scalable and cost-effective solution, there is a pressing need for automated adaption, (re-)configuration, and generation of simulation models. …”
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