Showing 141 - 160 results of 4,558 for search 'different evaluation algorithm', query time: 0.39s Refine Results
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    XAI-BO: an architecture using Grad-CAM technique to evaluate Bayesian optimization algorithms on deep learning models by Luyl-Da Quach, Nguyen Quoc Khang, Nguyen Thai-Nghe, Chi-Ngon Nguyen

    Published 2025-07-01
    “…However, the specific application of this algorithm in various deep-learning models has not been thoroughly evaluated. …”
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    Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm by PANG Tingting, ZHANG Guiyu, LIU Kecai, LI Xiaoping, TUO Xianguo, PENG Yingjie, ZENG Xianglin

    Published 2025-03-01
    “…A classification model for base baijiu of different sensory grades was established based on the gas chromatography-mass spectrometric (GC-MS) data for their volatile composition. …”
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  7. 147

    Personalized learning effect evaluation model for vocational education with cloud computing technology by Xiangyu Wang, Kang Cao

    Published 2025-12-01
    “…To achieve more efficient and accurate evaluation of learning effect, an adjustable variation genetic algorithm-backpropagation neural network (AGA-BP) is proposed. …”
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    A new modified incomprehensible but intelligible-in-time logics algorithm for modeling solid oxide fuel cell by Shahr Alshahr, Fatma A. Hashim, Ahmed Alshahir, Ahmed Fathy, Hegazy Rezk

    Published 2025-07-01
    “…It is applied to solve twelve different functions of IEEE CEC’2022 test suite and compared with nine well-known algorithms. …”
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    Article
  12. 152

    Analysis of Block Adaptive Type-II Progressive Hybrid Censoring with Weibull Distribution by Kundan Singh, Yogesh Mani Tripathi, Liang Wang, Shuo-Jye Wu

    Published 2024-12-01
    “…Consequently, reliability performance and differences across different testing facilities are analyzed. …”
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    Complex Approach to Evaluating Quality of Medical Care in Pediatrics by A. A. Baranov, L. S. Namazova-Baranova, E. A. Vishnyova

    Published 2015-12-01
    “…The authors analyzed different systems of evaluating quality of medical care of children and demonstrated their benefits and drawbacks. …”
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    Comparative Evaluation of Mean Cumulative Regret in Multi-Armed Bandit Algorithms: ETC, UCB, Asymptotically Optimal UCB, and TS by Lei Yicong

    Published 2025-01-01
    “…Each algorithm is applied to each dataset with two different horizons, which represent the number of iterations, to evaluate its short-term and long-term decision-making ability. …”
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    How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms by Sophie G. Zaloumis, Megha Rajasekhar, Julie A. Simpson

    Published 2025-07-01
    “…Learning curves can be used to assess the sample size required for the training dataset by evaluating the predictive performance of a model trained using different dataset sizes. …”
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  19. 159

    Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

    Published 2025-05-01
    “…Three studies that evaluated different AI software suggested that the accuracy of AI-assisted reading for detecting different types of nodules compared with unaided readers may vary depending on the performance of individual technology, but the evidence was insufficient for a firm conclusion to be drawn. …”
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  20. 160

    Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam by Tuan Vu Dinh, Nhat-Duc Hoang, Xuan-Linh Tran

    Published 2021-01-01
    “…Classification accuracy rate (CAR) and area under receiver operating characteristic (AUC) were used to evaluate performance of the five models. Significant difference between different algorithms was verified by the Wilcoxon test. …”
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