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Enhanced Learning Behaviors and Ability Knowledge Tracing
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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Electricity theft detection in integrated energy systems considering multi-energy loads
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The impact of preoperative venous thromboembolism on patients undergoing TURBT: Perioperative outcomes and healthcare costs from US insurance claims data
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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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges
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A Detection Method for Conveyor Belt Damage with Small Size and Low Contrast
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An Overview of Human Pose Estimation Based on Wireless Signals
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128
Intracranial closed-loop neuromodulation as an intervention for neuropsychiatric disorders: an overview
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Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection
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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Implementing an Outgoing Longwave Radiation Climate Dataset from Fengyun 3E Satellite Data with a Machine-Learning Algorithm
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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An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images
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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Fine particulate matter concentrations forecasting using long short-term memory network and meteorological inputs
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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Conditional diffusion-generated super-resolution for myocardial perfusion MRI
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS
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Recovering manifold representations via unsupervised meta-learning
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Re-evaluation of mastodon material from Oregon and Washington, USA, Alberta, Canada, and Hidalgo and Jalisco, Mexico
Published 2025-01-01“…Washington in the United States includes a number of specimens that could not be confidently assigned to either taxon. …”
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