Showing 1,321 - 1,340 results of 69,792 for search 'model analysis methods', query time: 0.53s Refine Results
  1. 1321

    Machine learning-based identification of key factors and spatial heterogeneity analysis of urban flooding: a case study of the central urban area of Ordos by Yu Qin, Yingdong Yu, Jiahong Liu, Ruifen Liu

    Published 2025-07-01
    “…This study uses urban flood susceptibility (UFS) as an indicator, and comprehensively applies three machine learning models, XGBoost, CatBoost and LightGBM, in the Kangyi area of Ordos City. …”
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  5. 1325

    A Comparative Analysis of Price Forecasting Methods for Maximizing Battery Storage Profits by Alessandro Fiori Maccioni, Simone Sbaraglia, Rahim Mahmoudvand, Stefano Zedda

    Published 2025-06-01
    “…We examined whether specific forecasting models, ranging from statistical benchmarks to machine learning methods, consistently deliver superior financial outcomes for storage operators. …”
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  6. 1326
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    Methods for Brain Connectivity Analysis with Applications to Rat Local Field Potential Recordings by Anass B. El-Yaagoubi, Sipan Aslan, Farah Gomawi, Paolo V. Redondo, Sarbojit Roy, Malik S. Sultan, Mara S. Talento, Francine T. Tarrazona, Haibo Wu, Keiland W. Cooper, Norbert J. Fortin, Hernando Ombao

    Published 2025-03-01
    “…Additionally, we investigate the utility of topological data analysis (TDA) to extract multi-scale topological features and explore deep learning-based canonical correlation frameworks for connectivity modeling. …”
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  8. 1328

    Analysis of methods for accounting cargo vehicles in traffic flow of a regulated crossroad by V. V. Donchenko, A. N. Shumskiy

    Published 2023-05-01
    “…In order to establish the degree of influence of these parameters on the change in the main characteristics of the traffic flow, such as the average travel time and average speed, this study was carried out.Methods and materials. When performing the study, the methods of natural observation, statistical analysis and modelling were applied. …”
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    Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. by Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha

    Published 2019-01-01
    “…Different QC procedures based on the RESTORE algorithm, the DTIPrep protocol, and a combination of both methods were compared using simulated ground truth and artifact containing DTI datasets modeling eddy current induced distortions, various levels of motion artifacts, and thermal noise. …”
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  12. 1332

    Comparative Numerical Analysis of Indirect Tensile Strength Assessment Methods in Rock Engineering by Hadi Fattahi, Hossein Ghaedi, Abolfazl Faghihi

    Published 2025-06-01
    “…This study presents an in-depth comparative numerical analysis of three distinct methods employed to evaluate the indirect tensile strength of rock materials: the Brazilian Tensile Test (BT), the Three-Point Bending Test (TPBT), and the Four-Point Bending Test (FPBT). …”
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  13. 1333

    MODERN ANALYSIS METHODS USE IN ORDER TO ESTABLISH THE GEOGRAPHIC ORIGIN OF FOOD PRODUCTS by L. A. Oganesyants, A. L. Panasyuk, E. I. Kuzmina, D. A. Sviridov

    Published 2020-03-01
    “…The advantages of an integrated research approach, which includes the creation of data array of various indicators values and its in-depth analysis using chemometric algorithms and mathematical modeling methods, are shown.…”
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    Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

    Published 2023-12-01
    “…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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  17. 1337

    LightCDD: Application of a Capability-Driven Development Method for Start-ups Development by Hasan Koç, Marcela Ruiz, Sergio España

    Published 2017-04-01
    “…In this article we describe the LightCDD method, a context-aware enterprise modeling method that is tailored for business model generation. …”
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    The Establishment of a High-Moisture Corn Ear Model Based on the Discrete Element Method and the Calibration of Bonding Parameters by Chunrong Li, Zhounan Liu, Ligang Geng, Tianyue Xu, Weizhi Feng, Min Liu, Da Qiao, Yang Wang, Jingli Wang

    Published 2025-03-01
    “…Establishing an accurate high-moisture corn ear fragmentation model using the Discrete Element Method is crucial for studying the processing and fragmentation of high-moisture corn ears. …”
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  20. 1340

    THE METHOD OF FORMING CAE MODELS ON THE EXAMPLE OF DESIGN AND TECHNOLOGICAL ELABORATION OF THE PLUNGER OF FORCED HYDROMACHINE by A. V. Puzanov

    Published 2017-06-01
    “…Testing on the manufacturability with ensuring the functionality requirements of the product determines the analysis of a large number of designs. The paper proposed a method of forming CAE models from CAD models, taking into account simplification models (with the exception of nonfunctional elements, the use of symmetry, etc.), add the missing data (including the use of the properties of materials differ from the CAD model), the possibility of a multidisciplinary analysis in one or more software systems. …”
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