Showing 21 - 40 results of 2,061 for search 'normal model extraction', query time: 0.14s Refine Results
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    GF-2 Remote Sensing-Based Winter Wheat Extraction With Multitask Learning Vision Transformer by Zhihao Zhao, Zihan Liu, Heng Luo, Hui Yang, Biao Wang, Yixin Jiang, Yanqi Liu, Yanlan Wu

    Published 2025-01-01
    “…However, classical semantic segmentation models frequently encounter difficulties in precise edge extraction, omission, and classification due to the presence of dense distributions and intraclass diversity. …”
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    Efficient Text Encoders for Labor Market Analysis by Jens-Joris Decorte, Jeroen van Hautte, Chris Develder, Thomas Demeester

    Published 2025-01-01
    “…Finally, we present JobBERT V2, an improved job title normalization model that leverages extracted skills to produce high-quality job title representations. …”
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    Iterative refinement and goal articulation to optimize large language models for clinical information extraction by David Hein, Alana Christie, Michael Holcomb, Bingqing Xie, AJ Jain, Joseph Vento, Neil Rakheja, Ameer Hamza Shakur, Scott Christley, Lindsay G. Cowell, James Brugarolas, Andrew R. Jamieson, Payal Kapur

    Published 2025-05-01
    “…We present a novel, end-to-end pipeline leveraging large language models (LLMs) for highly accurate information extraction and normalization from unstructured pathology reports, focusing initially on kidney tumors. …”
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    Article
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    Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

    Published 2025-05-01
    “…The question‐answering model yielded a normalized mean absolute error of 10.3% averaged across three numerical traits. …”
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    Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models by Ahmad Chaddad

    Published 2015-01-01
    “…This paper presents a novel method for Glioblastoma (GBM) feature extraction based on Gaussian mixture model (GMM) features using MRI. …”
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    Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

    Published 2025-08-01
    “…Results: The cascaded CLSTM model effectively detects anomalies in the energy consumption data by accurately predicting deviations from normal patterns. …”
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    Automated Tunnel Point Cloud Segmentation and Extraction Method by Zhe Wang, Zhenyi Zhu, Yong Wu, Qihao Hong, Donglai Jiang, Jinbo Fu, Sifa Xu

    Published 2025-03-01
    “…At the same time, the TMatch algorithm, which combines cluster analysis and Gaussian Mixture Models (GMMs), achieves accurate segmentation of tunnel rings and inner ring areas and further determines the tunnel cross-section position based on this segmentation result to complete the cross-section extraction. …”
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    Purple Sweet Potato Extract and Aerobic Exercise Reduce Lipid Profiles in Hyperlipidemic Rats Model by Setiyo Hartoto, Agus Hariyanto, Sholikhah Anindya Mar’atus, Shidqi Hamdi Pratama Putera, Donny Ardy Kusuma, Awang Firmansyah, Muhammad Dzul Fikri

    Published 2024-06-01
    “…This study investigates the effect of purple sweet potato extract and swimming training on the lipid profile of a hyperlipidemic rat model. …”
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    A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

    Published 2025-01-01
    “…This module normalizes input data and uses a stacked multilayer perceptron to extract cross-temporal and cross-dimensional dependencies. …”
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    A Method for Landslide Deformation Detection Based on Projection Surface Element Matching of 3D Models by Mengxi Sun, Hui Cao, Yansong Duan

    Published 2025-04-01
    “…Following this, the generated 3D models undergo surface segmentation and normal direction projection, resulting in the creation of orthoimages that accurately represent the slope surface. …”
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    Automatic Extraction Method of Phenotypic Parameters for <i>Phoebe zhennan</i> Seedlings Based on 3D Point Cloud by Yang Zhou, Yikai Qi, Longbin Xiang

    Published 2025-04-01
    “…First, the processed point cloud image was aligned using the Sample Consensus Initial Aligment (SAC-IA) and Iterative Closest Point (ICP) algorithms to generate a three-dimensional model of the seedlings. The stem point cloud was extracted from the model using the median normalized growth vector-based search (MNVG) method, with the current growth vector refined based on previous growth points and vectors. …”
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    The effectivity of emulgel from ethanolic extract of cocoa pod husk in mice model of painful diabetic neuropathy by Fifteen Aprila Fajrin, Didik Pudji Restanto, Lailatul Azkiyah, Yuli Witono, Melanny Ika Sulistyowaty

    Published 2024-10-01
    “…After 14 days, mice were randomized into eight groups: Normal, diabetic, 0.1% capsaicin cream, and cocoa pod husk extract emulgel (CPHEE) (0.25%, 0.5%, 1%, 2%, and 3%). …”
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