Showing 921 - 940 results of 3,292 for search 'reaching process model', query time: 0.18s Refine Results
  1. 921

    Atmospheric curing of zinc sulfide concentrate by sulfuric acid below 300°C by Deng F.-L., Xu G.-X., Fan W.-W., Li S., Ma R.-X.

    Published 2022-01-01
    “…Because the traditional roasting-leaching-electrowinning zinc hydrometallurgy process has a small sulfuric acid sales radius and a high inventory pressure, the process of direct leaching zinc concentrate is gaining popularity, but the pressurized leaching process is a high-pressure condition, which requires strict equipment material and high safety requirements. …”
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  2. 922

    Digital Twin: A Step Towards Smart Cities in Urban Planning, Design and Management by Farshad Shariatpour, Mostafa Behzadfar

    Published 2022-12-01
    “…In this regard, one of the main requirements to reach the smart city is to have a digital model of the city, which is discussed in the world as "Digital Twin". …”
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  3. 923

    Assessing the biomechanics of scheuermann’s kyphosis affected thoracolumbar spine in forward flexion at the tissue-level using a finite element model by Chunli Wan, Xiaowen Shen, Xixi Wu, Cui Yu, Yi Shao, Ruiping Zhang, Jiao Shang, Jianan Li, Yuting Zhang, Yongqiang Li

    Published 2025-07-01
    “…At different forward bending angles, TLK patients exhibited high stress distribution in the L1-S1 segment vertebral articular processes. Compared with healthy individuals, the stress distribution in the S1 segment was uneven, with peak stress reaching up to to 2.8 times higher (180% increase) than that of healthy individuals. …”
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  4. 924
  5. 925

    Model and numerical solution method the failure of air volume and air flow components in the ventilation network during the period of external fire by Wei LI, Yanqing LIU, Lang ZHANG

    Published 2025-05-01
    “…The accuracy and applicability of the model were preliminarily verified by carrying out external fire experiments in the test roadway of the angular structure, and on this basis, the dynamic change process of air volume change, wind flow reversal, abnormal wind temperature, spread of toxic and harmful gases, and oxygen volume fraction fluctuation in the complex ventilation network under the location of the fire source of the branch in the air inlet area and the branch branch in the air consumption area were simulated respectively.The simulation results showed that under the condition that the ignition source was located in the air inlet well, the number of branches with significant changes in air volume reached 61% of the total number of branches in the ventilation network, the number of branches with significant changes in wind flow reached 11% of the total number of branches in the ventilation network, the number of branches with significant changes in wind temperature reached 76% of the total number of branches in the ventilation network, the number of branches with CO intrusion reached 84% of the total number of branches in the ventilation network, and the number of branches with significant changes in oxygen volume fraction reached 41% of the total number of branches in the ventilation network. …”
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  6. 926
  7. 927

    A novel teaching model using a massive online open course for soft skills development in the veterinary medicine curriculum by Nélida Fernández Pato, María Auxiliadora Ruíz-Rosillo, Lydia Calleja Bueno, Isabel Rodríguez Hurtado, María Dolores Vivas Urias

    Published 2025-04-01
    “…Medallia survey data has been conducted to review student insights.ResultsStudent participation has been over 90%, the dropout rate is less than 2.8% and the performance and learning experience per academic year have reached. Likewise, the invested time (6.41, 5.09, and 4.19 h respectively) and the global participation 94.16%, as well as the conformity of the students with respect to the learning process with grades from 7.85 before the introduction of the pedagogical model to 8.59 after it.DiscussionInnovative methodologies centered on technology are valuable for developing soft skills as evidenced by the implementation of the MOOC “Learning How to Learn” within the context of Parasitic Diseases. …”
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  8. 928

    Convolutional neural network for IT lung diagnostics by U. A. Vishniakou, T. He

    Published 2024-05-01
    “…The total accuracy of the model reached 83.6 %.…”
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  9. 929

    Dietary patterns and inflammatory bowel disease: a global assessment of eight nutrients by region, gender, and socioeconomic status by Kun He, YuChan Qin, BingBing Li, HongShi Ye, Cun Li, Kouyan Qi, Nenglie Jing, Yuping Yang, Biao Nie

    Published 2025-05-01
    “…South Asia experienced the most rapid relative growth in processed meat consumption (56%), reaching 4.6 g/day (95% UI: 2.4–8.2), although absolute intake remained low. …”
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  10. 930

    Enrichment mechanisms and accumulation models of deep tight sandstone reservoirs in Junggar Basin: A case study of Moxizhuang and Yongjin areas by MA Ji, WANG Jinduo, ZHANG Kuihua, ZHANG Guanlong, ZENG Zhiping, HU Haiyan, GONG Yajun, ZHANG Yi

    Published 2025-03-01
    “…In such tight reservoirs, the charging power of crude oil, the source of oil and gas, and the migration process need to be systematically discussed. Biomarkers were used to determine the source of oil and the main source rocks of crude oil in tight sandstone reservoirs to reveal the enrichment process and main controlling factors of crude oil in tight sandstone reservoirs. …”
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  11. 931

    Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart by Łukasz Marchel, Rafał Kot, Piotr Szymak, Paweł Piskur

    Published 2025-05-01
    “…Additionally, in the article, a reward function is proposed and described, along with its optimization process, to elicit the desired behaviors in the underwater vehicle. …”
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  12. 932
  13. 933

    Prediction of the Marine Dynamic Environment for Arctic Ice-Based Buoys Using Historical Profile Data by Jingzi Zhu, Yu Luo, Tao Li, Yanhai Gan, Junyu Dong

    Published 2025-05-01
    “…The TSMixer model effectively captures the spatio-temporal characteristics of multivariate time series through time-mixing and feature-mixing mechanisms, and the accuracy of the model reaches 84.6%. …”
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  14. 934

    Integrated Optimization of Emergency Evacuation Routing for Dam Failure-Induced Flooding: A Coupled Flood–Road Network Modeling Approach by Gaoxiang An, Zhuo Wang, Meixian Qu, Shaohua Hu

    Published 2025-04-01
    “…The life-loss risk was minimized in the evacuation process, and all evacuees were able to reach safe locations. …”
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  15. 935

    Prediction Model For Students' On-Time Graduation Using Algorithm Support Vector Machine (SVM) Based  Particle Swarm Optimization (PSO) by Syarif Hidayatulloh, Gandung Triyono, Kiki Ari Suwandi kosasih

    Published 2025-03-01
    “…However, some students cannot complete their studies on time. In the process of completing the study, several problems emerged, one of which was in completing studies on time, there are problems that arise, such as students who are still repeating because there are grades that have not passed in the course, the Grade Point Average (GPA) is still lacking, the Semester Achievement Index (SAI) is still below the minimum, the total number of semester credit units (total credits) which still have not reached the minimum limit, then the number of active lecture statuses still exceeds 8 semesters, so this problem will have an impact on the accuracy of student study graduate data, where the target performance indicator for graduates is on time The student's target of graduating on time has not been achieved. …”
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  16. 936

    PREDICTION MODEL FOR STUDENTS' ON-TIME GRADUATION USING ALGORITHM SUPPORT VECTOR MACHINE (SVM) BASED  PARTICLE SWARM OPTIMIZATION (PSO) by Syarif Hidayatulloh, Gandung Triyono, Kiki Ari Suwandi kosasih

    Published 2025-03-01
    “…However, some students cannot complete their studies on time. In the process of completing the study, several problems emerged, one of which was in completing studies on time, there are problems that arise, such as students who are still repeating because there are grades that have not passed in the course, the Grade Point Average (GPA) is still lacking, the Semester Achievement Index (SAI) is still below the minimum, the total number of semester credit units (total credits) which still have not reached the minimum limit, then the number of active lecture statuses still exceeds 8 semesters, so this problem will have an impact on the accuracy of student study graduate data, where the target performance indicator for graduates is on time The student's target of graduating on time has not been achieved. …”
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  17. 937

    Research on Delayed-feedback Compensation of Pneumatic Position Sensor in Hot Cell by ZHOU Keyuan1, DONG Jianpeng2, DONG Bibo1, YANG He1, XIANG Routong2

    Published 2024-06-01
    “…If the pressure signal at the processing part shows an expected change, it can be determined that the workpiece (such as spent fuel assembly) has reached the designated position. …”
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  18. 938

    High-precision refraction correction of ICESat-2 bathymetry based on sea-wave profiles with a piece-point polynomial model by Yifu Chen, Yifu Chen, Yifu Chen, Qian Zhao, Yuan Le, Lin Wu, Lin Wu, Wuxing Song, Liqin Zhou, Lizhe Wang, Lizhe Wang, Lizhe Wang

    Published 2025-05-01
    “…In this method, the instantaneous sea wave has been modeled using the extracted signal photon of water surface and the proposed weight cubic polynomial model. …”
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  19. 939

    Comprehensive Evaluation of Selenium-Enriched Land Resources in Changting County, Fujian Province Based on Niche Theory and AHP-TOPSIS Model by Zhimin TANG, Long ZHAN, Xiaodong ZHANG, Guoguang CHEN, Mo ZHOU, Fujin TIAN, Hongying LIU, Jie ZHANG, Ming ZHANG

    Published 2024-07-01
    “…The analytic hierarchy process (AHP) is used to calculate the weight of indicators, and the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to determine the weighted comprehensive index for comprehensive grading. …”
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  20. 940

    Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

    Published 2025-09-01
    “…While all models demonstrated excellent predictive accuracy, the GPM model provided superior results among black-box tools, exhibiting a mean absolute percentage error (MAPE) of 0.99 %. …”
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