Showing 121 - 140 results of 255 for search 'Deep state in the United States', query time: 0.08s Refine Results
  1. 121

    Enhanced Learning Behaviors and Ability Knowledge Tracing by Fanglan Ma, Changsheng Zhu, Peng Lei, Peiwen Yuan

    Published 2025-01-01
    “…Knowledge tracing (KT) aims to understand the evolution of students’ knowledge states during learning using machine learning techniques. …”
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    The impact of preoperative venous thromboembolism on patients undergoing TURBT: Perioperative outcomes and healthcare costs from US insurance claims data by Anas S. Tresh, Francesco Del Giudice, Shufeng Li, Satvir Basran, Ettore De Berardinis, Dalila Carino, Valerio Santarelli, Bernardo Rocco, Maria Chiara Shighinolfi, Roman Mayr, Matteo Ferro, Riccardo Autorino, Gabriele Bignante, Felice Crocetto, Biagio Barone, Renate Pichler, José Daniel Subiela, Jorge Caño Velasco, Marco Moschini, Andrea Mari, Andrea Gallioli, Francesco Soria, Simone Albisinni, Wojciech Krajewski, Jan Łaszkiewicz, Łukasz Nowak, Tomasz Szydełko, Benjamin Challacombe, Rajesh Nair, Benjamin I. Chung

    Published 2025-01-01
    “…Abstract Objectives To assess the impact of a positive history of venous thromboembolism (VTE) on perioperative outcomes, including length of in‐hospital stay, readmission rates, 90‐day postoperative complications, and healthcare costs in bladder cancer (BCa) patients undergoing transurethral resection of bladder tumour (TURBT) in the United States. Patients and Methods Patients aged ≥18 years with a BCa diagnosis undergoing TURBT were identified in the Merative® Marketscan® Research de‐identified databases between 2007 and 2021. …”
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    Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection by Yan Feng, Yupeng Zhang, Xiangqing Zhang, Yuning Wang, Shaohui Mei

    Published 2025-01-01
    “…The extensive experiments on SSDD and RSDD-SAR datasets demonstrate that our LKE-Det outperforms the state-of-the-art methods.…”
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  10. 130

    Implementing an Outgoing Longwave Radiation Climate Dataset from Fengyun 3E Satellite Data with a Machine-Learning Algorithm by Yanjiao Wang, Feng Yan

    Published 2025-01-01
    “…In this study, we compared outgoing longwave radiation (OLR) measurements from the FY3E satellite (FY3E OLR) and from a series of satellites operated by the National Oceanic and Atmospheric Agency (NOAA, United States of America; hereafter NOAA OLR) and analyzed the spatiotemporal differences between the datasets. …”
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  11. 131

    An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images by Lam Thanh Hien, Pham Trung Hieu, Do Nang Toan

    Published 2025-01-01
    “…<b>Objectives</b>: The main objective of this study is to build a high-performance deep learning model for predicting radiation therapy doses for cancer and to develop software to easily manipulate and use this model. …”
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  12. 132

    Fine particulate matter concentrations forecasting using long short-term memory network and meteorological inputs by T. Istiana, B. Kurniawan, S. Soekirno, A. Wihono, D.E. Nuryanto, B.A. Pertala, A. Sopaheluwakan

    Published 2024-10-01
    “…The objective of this study is to address the issue by examining the most effective approaches for predicting the non-linear time-series data of daily particulate matter 2.5 concentration using meteorological inputs.METHODS: The concentration data of particulate matter 2.5 at Central Jakarta and South Jakarta were collected using sensors from the United States of America Embassy in Indonesia and Indonesia’s Meteorological, Climatological, and Geophysical Agency. …”
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