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  1. 8661

    MODIFICATION OF DYNAMIC CONSTITUTIVE RELATION OF440C STAINLESS STEEL BASED ON J-C MODEL (MT) by WANG Liang, JIA HaiShen, ZHANG JiLin, LUO WenCui

    Published 2023-01-01
    “…Based on the obtained experimental data, the parameters of the original J-C constitutive model were calibrated, and its applicability and prediction accuracy for describing the stress-flow behavior of the studied materials were discussed. …”
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  2. 8662

    Correlation of Unconfined Compressive Strength (UCS) with Compaction Characteristics of Soils in Burayu Town by Solomon Kormu, Alemineh Sorsa, Shelema Amena

    Published 2022-01-01
    “…This implies that the established model could be used to predict the UCS in the study area.…”
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  3. 8663

    Effects of Welded Mechanical Heterogeneity on Interface Crack Propagation in Dissimilar Weld Joints by Fu-qiang Yang, He Xue, Ling-yan Zhao, Xiu-rong Fang

    Published 2019-01-01
    “…The stress and strain status associated with the material properties is one of the main factors affecting stress corrosion cracking (SCC) of structural components in nuclear power plants (NPPs). In many SCC prediction models, the stress intensity factor calculated with homogeneous materials is used to characterize the crack tip stress state. …”
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  4. 8664

    DYNAMIC CHARACTERISTICS OF INTERNAL CONTACT OF ROLLING BEARINGS UNDER DIFFERENT DEGREES OF FAILURE by TU WenBing, YANG JinWen, LUO Ya, REN JiWen

    Published 2020-01-01
    “…The research conclusion can provide a theoretical basis for fault diagnosis and residual life prediction of rolling bearings.…”
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  5. 8665

    Implementation of The AHP Method in Decision Support Systems for Granting Disposal Permits Household Liquid Waste in Makassar City by Ismail Ismail, M Afdal Tahir

    Published 2023-05-01
    “…The process of granting permits is carried out by determining eligibility standards with a prediction system without using standardized assessment criteria so that the final determination of granting permits is not accurate and precise. …”
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  6. 8666

    HANS REICHENBACH’IN BİLİMSEL FELSEFESİ: BULMA VE DOĞRULAMA BAĞLAMLARI ÜZERİNDEN BİR DEĞERLENDİRME by Seda Özsoy Somuncuoğlu

    Published 2023-12-01
    “…Bu makalenin amacı, düşünürün özellikle Experience and Prediction ve Bilimsel Felsefenin Doğuşu adlı eserlerinde ortaya koyduğu görüşlerini yeniden hatırlatarak bulma ve doğrulama bağlamlarına yönelik ayrımın içeriğini hem meseleyi benzer şekilde ele alanların hem de konuya eleştirel yaklaşanların katkıları ekseninde çözümlemektir.…”
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  7. 8667

    Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm by Yangjinyu Li, Li Zou, Zhengjie Zhu

    Published 2023-03-01
    “… S-N curve fatigue samples of titanium alloy welded joints have such a comparatively significant scatter, that results in the issue that the fatigue life prediction accuracy is not optimal. In this work, the titanium alloy welded joints' fatigue data is used as analysis data, and the neighborhood rough set reduction with improved firefly algorithm efficient method of fitting stress-life curves is set forth. …”
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  8. 8668

    Backward Spectral Characterization of Liquid Crystal Display Based on Forward Spectral Characterization by Jian-qing Zhang, Fang Cai, Xiao-ying Shen, Zhen Liu, Ming Zhu

    Published 2016-01-01
    “…Third, RGB are inputted into forward spectral characterization model and the corresponding spectral radiation curves ρ1 are predicted. Last, RGB are modified according to the difference between predicted ρ1 and known ρ0, until this difference satisfied the prediction accuracy of the inverse characterization model. …”
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  9. 8669

    The Ideotype for Seed Size: A Model Examining the Relationship between Seed Size and Actual Yield in Pea by Jamin Smitchger, Norman F. Weeden

    Published 2018-01-01
    “…Modifications to the algorithm would allow the prediction of the ideal seed size in other legumes. …”
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  10. 8670

    An Optimization Method of Multiclass Price Railway Passenger Transport Ticket Allocation under High Passenger Demand by Bin Wang, Shaoquan Ni, Fucai Jin, Zixu Huang

    Published 2020-01-01
    “…Then, on this basis, we use gray neural networks (GNNs) to predict the passenger demand of different origins and destinations (ODs), and according to the prediction results, we propose two ticket allocation methods based on operation and capacity control: accurate predivided model and fuzzy predivided model. …”
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  11. 8671

    RESEARCH ON BENDING FATIGUE TEST BASED ON 42CRMO GEAR (MT) by WANG JiaJun, PEI WeiChi, JI HongChao, LONG HaiYang, WANG ZhiTao

    Published 2023-01-01
    “…The results show that the fatigue life test values are basically consistent with the numerical simulation results when the reliability is 84.1%, which verifies the accuracy of the numerical simulation and can effectively predict the bending fatigue life of 42CrMo gear.…”
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  12. 8672

    Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review by Zainab Ahmed Alkaissi, Ruba Yousif Hussain

    Published 2025-01-01
    “…The Geographic Information System (GIS) networks can produce a model that overcomes some restrictions of accessibility indices. Different prediction models were developed to capture the main parameters related to travel time. …”
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  13. 8673

    Battery Prognostics and Health Management: AI and Big Data by Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao

    Published 2024-12-01
    “…By enabling more precise and scalable monitoring and prediction of battery health, this transition marks a significant step forward in advancing the field.…”
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  14. 8674

    REVIEW OF RESEARCH ON FATIGUE LIFE EVALUATION FOR LARGE WELDED STRUCTURES (MT) by CAO LeiLei, WANG Yan, WANG LiuTao, SONG XuDing, GUO ChengChen

    Published 2022-01-01
    “…The main difficulties and problems in the fatigue life prediction of the large welded structures at the emerging stage are analyzed. …”
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  15. 8675

    Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm by Qunfeng Wei, Bin Qi

    Published 2022-01-01
    “…On large data sets, the prediction accuracy of the neutral fuzzy association rules algorithm is 95.68%, while that of the traditional method is only 89.63%. …”
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  16. 8676

    Effect of Fast Freeze-Thaw Cycles on Mechanical Properties of Ordinary-Air-Entrained Concrete by Huai-shuai Shang, Wei-qun Cao, Bin Wang

    Published 2014-01-01
    “…The experiment results can be used as a reference in design, maintenance, and life prediction of ordinary-air-entrained concrete structure (such as dam, offshore platform, etc.) in cold regions.…”
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  17. 8677

    Effect of frost on plants, leaves, and forecast of frost events using convolutional neural networks by Sobia Wassan, Chen Xi, NZ Jhanjhi, Laiqa Binte-Imran

    Published 2021-10-01
    “…How it affects the roots and prevents the growth of plants, vegetables, and fruits? Furthermore, we predicted how the frost will grow and how we should take early precautions to protect our crops? …”
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  18. 8678

    Height of the Fractured Zone in Coal Mining under Extra-Thick Coal Seam Geological Conditions by Dequan Sun, Xiaoyan Li, Zhijie Zhu, Yang Li, Fang Cui

    Published 2021-01-01
    “…At present, the common prediction methods of overburden fractured zone height are only applicable to thin and medium-thick coal seams, not suitable for thick and extra-thick coal seams. …”
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  19. 8679

    Assessing the Role of Particles in Radiative Heat Transfer during Oxy-Combustion of Coal and Biomass Blends by Gautham Krishnamoorthy, Caitlyn Wolf

    Published 2015-01-01
    “…While the wall incident radiative flux predictions compared reasonably well with the experimental measurements, accounting for the variations in the fuel, char and ash radiative properties were deemed to be important as they strongly influenced the incident radiative fluxes and the temperature predictions in these strongly radiating flames. …”
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  20. 8680

    Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

    Published 2021-01-01
    “…In the water environment, construction, and civil engineering industries, digital twins have gradually become a popular solution in recent years, and in digital twins, accurate data prediction and category recognition are important parts of it. …”
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