Showing 2,141 - 2,160 results of 4,237 for search 'Step learning', query time: 0.14s Refine Results
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    Forest aboveground carbon storage estimation and uncertainty analysis by coupled multi-source remote sensing data in Liaoning Province by Hancong Fu, Hengqian Zhao, Ge Liu, Yujiao Zhang, Xiadan Huangfu, Jinbao Jiang

    Published 2025-07-01
    “…Owing to the difficulty of one-to-one matching between spaceborne LiDAR spots and satellite image pixels, geographical correlation was performed to extract the average pixel value of multiple pixels covered by the light spot based on an area-weighting method as the model’s input features. Combining this step with an ensemble machine learning algorithm, the final estimate of forest AGC stock in Liaoning Province was calculated to be 101.35 Tg, with an uncertainty of ±37.31 Tg. …”
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    Implementation of a disease trigger prediction model using AIML for early diagnosis of epilepsy by Aarohi Deshpande, Aarohi Gherkar, Avni Bhambure, Girish Shivhare, Shreyash Kolhe, Bhupendra Prajapati, Shama Mujawar

    Published 2025-01-01
    “…Our study thus represents a step toward a more holistic, computationally driven framework for neurological disorder management. …”
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  6. 2146

    Text-Guided Distribution Calibration for Few-Shot Object Detection in Remote Sensing Images by Yu Cao, Jingyi Chen, Haoyu Wang, Lei Zhang, Chen Ding, Wei Wei, Shiqi Cao, Meilin Xie

    Published 2025-01-01
    “…By doing this, the cross-class transferable text knowledge can be transferred to regularize the learned visual features step siding bias on base classes and thus improve the generalization capacity. …”
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  7. 2147

    Uplift modeling to determine which fluid-norepinephrine regime results in a postoperative acute kidney injury-free recovery in patients scheduled for cystectomy and urinary diversi... by Markus Huber, Marc A. Furrer, Marc A. Furrer, Marc A. Furrer, François Jardot, Patrick Y. Wuethrich

    Published 2025-06-01
    “…The performance of the uplift models is robust with respect to the fluid-NE dichotomization.ConclusionUplift modeling provides a clinically relevant step toward personalized medicine by considering the incremental benefit of an alternative treatment versus a control treatment on a patient’s outcome, thus moving from a predictive toward a prescriptive risk assessment. …”
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    Large language models meet user interfaces: The case of provisioning feedback by Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gašević, Paul Denny, Hassan Khosravi

    Published 2024-12-01
    “…Finally, CUIs are designed for short, synchronous interactions and often struggle and hallucinate when given complex, multi-step tasks (e.g., providing individual feedback based on a rubric on a large scale). …”
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  10. 2150

    A Probability Fusion Approach for Foot Placement Prediction in Complex Terrains by Jingfeng Xiong, Chuheng Chen, Yuanwen Zhang, Xinxing Chen, Yuepeng Qian, Yuquan Leng, Chenglong Fu

    Published 2023-01-01
    “…The proposed method can predict the foot placement of next step in complex terrains when heel-off is detected. …”
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    Una experiencia de aprendizaje-servicio en la asignatura «Bases anatómicas y fisiológicas del movimiento» del Área de Didáctica de la Expresión Corporal (A service-learning experie... by Jesús Gil Gómez, Óscar Chiva Bartoll

    Published 2014-07-01
    “…The article covers, step by step, the different phases carried out in this service-learning experience implemented in the field of physical education: the design, the practical implementation and the assessment. …”
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    Methods for identifying health status from routinely collected health data: An overview by Mei Liu, Ke Deng, Mingqi Wang, Qiao He, Jiayue Xu, Guowei Li, Kang Zou, Xin Sun, Wen Wang

    Published 2025-03-01
    “…The use of routinely collected health data (RCD) is currently helping to accelerate publications that evaluate the effectiveness and safety of medicines and medical devices. One fundamental step in using these data is developing algorithms to identify health status for use in observational studies. …”
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    Safe transductive support vector machine by Haiyan Chen, Ying Yu, Yizhen Jia, Linghui Zhang

    Published 2022-12-01
    “…Since semi-supervised learning can use fewer labelled samples to train a better model, semi-supervised methods are becoming popular in data mining. …”
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  16. 2156

    Enhancing Comprehensive Mastery of Qualitative Research Methodology for Students Through the Deconstruction of the Eid al-Fitr Greeting Model by Bagus Haryono, Sudarmo Sudarmo, Triyanto Triyanto, Brq Dagfa Inka Mahadika

    Published 2023-12-01
    “…The differences between them were then interpreted as indicators of changes in the mastery of comprehensive thinking steps resulting from the learning treatment. The data were analyzed using analytical descriptive statistics in SPSS software. …”
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    The Effect of Gabapentin on the Efficiency of a Desensitization–Counter-Conditioning Claw-Trimming Protocol for Cats with Healthcare Phobias: A Double-Blind, Placebo-Controlled Cro... by Lua Raucourt, Sylvia Masson

    Published 2025-05-01
    “…Their progression through the learning steps was monitored. The results indicate that gabapentin significantly accelerated the cats’ ability to complete DS-CC steps, suggesting a positive effect on the learning process. …”
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    Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

    Published 2019-07-01
    “…Developments of advanced textile manufacturing techniques—such as 3D body-forming knitwear machinery—allows the production of almost finalized garments, which require little to no further production steps to finalize the garment. Moreover, advanced knitting technology in combination with new materials enables the integration of localized functionalities within a garment on a “stitch by stitch level.” …”
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    Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System by Maria Viorela Muntean

    Published 2024-12-01
    “…To overcome this issue, a multi-agent system is proposed to deal with all machine learning steps, from preprocessing and labeling data to discovering the most suitable model for the analyzed dataset. …”
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