Showing 1 - 20 results of 33 for search 'two-step ability research methods', query time: 0.19s Refine Results
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    Research on Fast Spectrum Resonance Calculation Method Based on Subgroup Method by YU Rongjun, ZHAO Shouzhi, YANG Rui, SONG Yingyun, ZHANG Chong, HUO Xingkai

    Published 2024-12-01
    “…Resonance calculation is a necessary part of the two-step or three-step physical calculation, and the traditional method is usually based on the geometric simplification model in dealing with the fast spectrum resonance calculation problem, which cannot accurately match the advantage of the MOC on the fine geometric processing ability, especially with the rapid development of advanced reactor research in recent years, many reactor schemes with fine structure have been proposed, including a large number of core schemes characterized by fast spectrum, for this type of problem, the traditional method is difficult to give high-precision multi-group constants under fine geometry. …”
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    Analysis of the Inquiry-Infusion learning model to develop students' critical thinking ability by Beni Asyhar

    Published 2023-01-01
    “…This research is a library research whose data is obtained from books and scientific articles about the inquiry learning model, the application of the infusion method, and critical thinking. …”
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    Lipid-Polymer Hybrid Nanoparticles as a Smart Drug Delivery System for Peptide/Protein Delivery by Alharith A. A. Hassan, Eslam Ramadan, Katalin Kristó, Géza Regdon, Tamás Sovány

    Published 2025-06-01
    “…Moreover, this review offers a detailed analysis of LPHN preparation methods, including conventional and nonconventional one-step and two-step processes, nanoprecipitation, microfluidic mixing, and emulsification methods. …”
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    Development of a grape-harvesting robot using a multi-step detection method based on AI and a position-estimation algorithm by Weiguo Wang, Liangliang Yang, Noboru Noguchi

    Published 2024-12-01
    “…The fast and accurate identification and positioning of crops is an essential ability for crop-harvesting robots. To achieve this goal, we propose a two-step vision recognition method that combines the YOLOv7 and YOLOv7-Pose algorithms which helps a harvesting robot quickly and accurately complete grape harvesting in actual field environments. …”
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    Russian Regional Debt Sustainability Estimation by O. V. Suchkova, A. Yu. Chemis

    Published 2019-08-01
    “…By results of assessing regressions by the generalized method of moments (two-step Arellano-Bond procedure) favorable primary budget balance was found for the developed group (considerable 10% impact of the accumulated debt), which proves stability of debt policy. …”
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    戶外教育課程評估指標建構之研究 Indicators for Evaluating Outdoor Education Curricula by 鄭智明 Chi Meng Cheang, 陳美燕 Mei-Yen Chen, 郭雄軍 Husing-Chun Kuo

    Published 2024-12-01
    “…This model integrates elements of adventure and environmental awareness from Outdoor Adventure Education and Environmental Education, respectively. Methods This study was conducted in two steps. First, a systematic review of the literature was conducted to identify publications by Taiwanese and international scholars on the implementation of outdoor education curricula in schools over the last decade. …”
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    A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data by Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert

    Published 2025-03-01
    “…However, not all regions have sufficient infectious disease outcome data; this lack of data presents a significant challenge for accurate estimation. Methods To overcome this challenge, we propose a two-step approach that incorporates existing $$\:{R}_{t}$$ estimation procedures (EpiEstim, EpiFilter, EpiNow2) using data from geographic regions with sufficient data (step 1), into a covariate-adjusted Bayesian Integrated Nested Laplace Approximation (INLA) spatial model to predict $$\:{R}_{t}$$ in regions with sparse or missing data (step 2). …”
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    Optimizing EEG-Based Sleep Staging: Adversarial Deep Learning Joint Domain Adaptation by Roya Ghasemigarjan, Mohammad Mikaeili, Seyed Kamaledin Setarehdan

    Published 2024-01-01
    “…This results in ambiguous features near class boundaries, diminishing classification accuracy. The conventional two-step process of using a pre-trained classifier for predictions and assessing uncertainty fails to effectively incorporate unlabeled data in classifier training, neglecting the complexities of the target domain. …”
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    Tracing delay network in air transportation combining causal propagation and complex network by DaoZhong Feng, Bin Hao, JiaJian Lai

    Published 2024-01-01
    “…In static propagation detection, network motifs can serve as micro-expressions, particularly with convergence and transmission forms during high delays. This research contributes to refine the depiction of delay propagation in the air transport network, enhancing the ability to trace delay trends in dynamic and static perspectives.…”
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