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Showing 2,181 - 2,200 results of 4,583 for search '((\ spatial research algorithm\ ) OR ((\ pain OR \ main) research algorithm\ ))', query time: 0.21s Refine Results
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    First Results of Our Local Practice Guide Used During the Late Phase of Resuscitation in Patients with Refractory VF in Out of Hospital Cardiac Arrest by Slagt C, Van Kuijk SM, Bruhn J, Van Geffen GJ, Mommers L

    Published 2025-05-01
    “…Cornelis Slagt,1,2 Sander MJ Van Kuijk,3 Jörgen Bruhn,1 Geert Jan Van Geffen,1,2 Lars Mommers2,4 1Department of Anesthesiology, Pain and Palliative Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands; 2Helicopter Emergency Medical Service Lifeliner 3, Radboud University Medical Centre, Nijmegen, the Netherlands; 3Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Centre, Maastricht, the Netherlands; 4Department of Anesthesiology and Pain Medicine, Maastricht University Medical Centre, Maastricht, the NetherlandsCorrespondence: Cornelis Slagt, Department of Anesthesiology, Pain and Palliative Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, Postbus 9101, Nijmegen, 6500 hB, the Netherlands, Tel +31-635632459, Fax +31-243613585, Email cor.slagt@radboudumc.nlObjective: Treatment of refractory ventricular fibrillation (rVF) is a clinical challenge. …”
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    Application of the Mean-shift Segmentation Parameters Estimator (MSPE) to VHSR satellite images: Tetuan-Morocco by O. Benarchid, N. Raissouni, J.A. Sobrino, A. El Ayyan

    Published 2015-06-01
    “…Optimal parameters selection is usually carried out on the basis of visual interpretation; therefore, defining optimal combinations is a challenging task. In the present research, Mean-shift Segmentation Parameters estimator (MSPE) proposed tool is applied to automate the selection of segmentation parameters values to Very High Spatial Resolution (VHSR) satellite images in the region of Tetuan city (Northern Morocco). …”
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    An efficient non-parametric feature calibration method for few-shot plant disease classification by Jiqing Li, Zhendong Yin, Dasen Li, Hongjun Zhang, Mingdong Xu

    Published 2025-05-01
    “…The temporal and spatial irregularity of plant diseases results in insufficient image data for certain diseases, challenging traditional deep learning methods that rely on large amounts of manually annotated data for training. …”
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    METRICS FOR EVALUATING CONSISTENCY IN DISTRIBUTED DATASTORES by Galyna Zholtkevych

    Published 2020-06-01
    “…The goal of the research is investigation of the ability to develop such a program on the earlier stage of building distributed network and build some components of decision-making algorithm, which purpose is to build optimal network topology. …”
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    Effective Approach to Shock Absorption Performance Evaluation of Mechanical Component Springs Using the Single Valued Trapezoidal Neutrosophic Numbers for Structural Stability by Hanwei Qu, Caiyun Duan, Jiancheng Yu

    Published 2025-04-01
    “…The suggested hybrid model's application procedures are illustrated by an algorithm that is created. This algorithm is used as the basis for real-world research. …”
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    Analytic Solution for the Strongly Nonlinear Multi-Order Fractional Version of a BVP Occurring in Chemical Reactor Theory by Vedat Suat Erturk, A.K. Alomari, Pushpendra Kumar, Marina Murillo-Arcila

    Published 2022-01-01
    “…The generalization of the adopted integer-order problem into a fractional-order sense which includes the memory in the system is the main novelty of this research.…”
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    Load Balancing for Future Internet: An Approach Based on Game Theory by Shaoyi Song, Tingjie Lv, Xia Chen

    Published 2014-01-01
    “…In recent years, countries all over the world consider the future internet as the country’s strategic development directions, so projects about future internet have been launched by these countries. Load balancing algorithms and job allocations are main research problems in areas of resource management of future internet. …”
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    Waveform Information Accurate Extraction for Massive and Complex Waveform Data of Hyperspectral Lidar by Shuo Shi, Chengyu Gong, Qian Xu, Ao Wang, Xingtao Tang, Sifu Bi, Wei Gong

    Published 2025-01-01
    “…Furthermore, this study proposes a multi-channel-assisted optimization algorithm that can precisely extract faint and overlapping echoes that a single-channel algorithm cannot extract. …”
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    Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges by Huajin Lei, Hongyi Li, Hongyu Zhao

    Published 2025-04-01
    “…This study offers high-quality and long-term alternative data for hydrometeorology research. Meanwhile, XDMF is a promising algorithm for enhancing precipitation in high-altitude mountain areas, which can be flexibly transferred to other regions, different machine learning algorithms, and various hydrometeorological variables.…”
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