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  1. 481

    Variation-Difference Method of Calculation of Layered Rubber-Metal Vibration Isolators Used for Protection of Reinforced Concrete Buildings from Anthropogenic Vibration by D. K. Sizov

    Published 2024-02-01
    “…Only some of the software packages implementing the FEM solve optimization problems of the shape of the product being calculated, most often it is related to foreign software products with universal functionality. …”
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  2. 482

    Advances in data‐assisted high‐throughput computations for material design by Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang

    Published 2023-09-01
    “…The efficiency of HTC, which is one of the pillars of materials genome engineering, has been verified in many studies, but its applications are still limited by demanding computational costs. Introduction of data mining and artificial intelligence into HTC has become an effective approach to solve the problem. …”
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  3. 483

    Enabling Navigation and Mission-Based Control on a Low-Cost Unitree Go1 Air Quadrupedal Robot by Ntmitrii Gyrichidi, Mikhail P. Romanov, Yuriy Yu. Tsepkin, Alexey M. Romanov

    Published 2025-04-01
    “…This field now focuses on finding new application areas for robots rather than solving pure locomotion problems. Although the price of quadrupedal robots has decreased significantly during the last decade, it is still relatively high and can be considered as one of the limiting factors for research, especially for multi-agent scenarios involving multiple robots. …”
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    Article
  4. 484

    A Piecewise Linearization Based Method for Crossed Frequency Admittance Matrix Model Calculation of Harmonic Sources by Youhang Yang, Shaorong Wang, Mingming Shi, Xian Zheng

    Published 2025-01-01
    “…Accurate harmonic models are fundamental for evaluating and mitigating harmonic problems, but existing models still exhibit deficiencies in harmonic mechanism, model complexity and accuracy. …”
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    Article
  5. 485

    Learning design of lines and angles for 7th -grade using Joglo traditional house context by Hartono Hartono, Farida Nursyahidah, Widya Kusumaningsih

    Published 2021-10-01
    “…Those are observing Joglo traditional house video for understanding lines and angles concepts, deducing line positions, discovering the angles' properties on parallel lines intersected by other lines, and solving lines and angles problems.…”
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    Article
  6. 486

    KEMAMPUAN REPRESENTASI MATEMATIS CALON GURU MATEMATIKA PADA MATA KULIAH TEORI PELUANG by Marthinus Yohanes Ruamba, Zaenuri Mastur, Iqbal Kharisudin

    Published 2022-06-01
    “… In understanding mathematics learning, representation is considered an entry point in solving various complex mathematical problems. The ability of mathematical representation is related to the expression of mathematical ideas using various ways, including written language, spoken language, pictures, symbols, examples, diagrams, graphs, or other real examples as representations. …”
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    Article
  7. 487

    Steady State Analysis of Base Station Buffer Occupancy in a Cellular Mobile System by Fayza A. Nada

    Published 2023-01-01
    “…Apparently, studying and improving the behavior of buffers deployed at 5G mobile networks devices can contribute to solving these problems (at least by reducing the queuing time at these buffers). …”
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  8. 488

    Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

    Published 2025-08-01
    “…MSCOA outperforms other algorithms in terms of robustness, convergence speed, and solution accuracy, although there is still room for further improvement. When combined with Extreme Learning Machine (ELM) and applied to the Wisconsin breast cancer dataset, the MSCOA-ELM model achieved 100% accuracy and F1 score, a 28.9% improvement over the baseline ELM, demonstrating the algorithm’s efficiency and generalization ability in solving practical optimization problems.…”
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  9. 489

    Research on data loss probability and its impact of CTCS-3 train ground communication based on GSM-R by Xia ZHANG, Lian-chuan MA, Yuan CAO, Yu-zhuo ZHANG

    Published 2014-12-01
    “…In order to solve the problem that Euroradio's safe functional module (SFM) of CTCS-3 train control system can not apply protective measures for time-related transmission risks,communication model and failure recovery model for transmission of CTCS-3 train control system are built which based on deterministic and stochastic Petri nets (DSPN).Combining the two models and using TimeNET 4.0 to simulate the result of data loss probability,a conclusion can be concluded that even considering that only data loss will cause dangerous of train control system,the result still can not meet the requirement of SIL4 based on the relevant specification for the CTCS-3.…”
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  10. 490

    Intuitionistic Fuzzy Dimensional Analysis in Multi-Criteria Decision-Making: A Computational Approach by Luis Asuncion Perez-Dominguez, Mauro Callejas-Cuervo, Francesco Garcia-Luna

    Published 2024-01-01
    “…Furthermore, the software’s primary feature makes it easier to manipulate data utilizing a fuzzy set approach for the assessment of multi-criteria decision-making problems. The outcomes showed that our suggestion, which makes use of intuitionistic fuzzy sets, is a powerful tool for solving MCMD problems.…”
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  11. 491

    Performance optimization for mMTC in 5G network with multiple random access schemes by Wen ZHAN, Yiwen LIANG, Xinghua SUN, Xuesong TAN

    Published 2022-06-01
    “…To optimize the support for massive machine type communication (mMTC) services with different traffic characteristics, packet-based random access (PBRA) scheme coexists with the connection-based random access (CBRA) scheme in 5G networks.Yet, given the traffic characteristic of mMTC, which random access scheme should be chosen is still an open issue.To address this issue, the network throughput and signaling overhead analysis of mMTC with PBRA and CBRA were presented, and the problem of throughput maximization while maintaining the signaling-to-throughput ratio below a certain level was solved.Based on this, the optimal access scheme selection strategy and the corresponding optimal network parameter configuration were obtained and verified via simulations.…”
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  12. 492

    Big Data, Machine Intelligence and Their Impacts to the Future World by Jun Wu

    Published 2015-02-01
    “…The important role of big data to solve the problem of machine intelligence was analyzed. …”
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  13. 493

    Control Strategy of Maglev Based on Reduced-order Observer by Xujiang WANG, Xingyuan WANG, Chengzhuo XU, Gang SHEN

    Published 2019-11-01
    “…In order to solve the problem of vehicle-guideway coupling vibration, a full-state feedback optimal control method based on reduced-order observer was proposed, which took the single magnet-guideway coupling vibration system as the research object, and had been validated effectively on a small-scale test rig. …”
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    Article
  14. 494

    Performance optimization for mMTC in 5G network with multiple random access schemes by Wen ZHAN, Yiwen LIANG, Xinghua SUN, Xuesong TAN

    Published 2022-06-01
    “…To optimize the support for massive machine type communication (mMTC) services with different traffic characteristics, packet-based random access (PBRA) scheme coexists with the connection-based random access (CBRA) scheme in 5G networks.Yet, given the traffic characteristic of mMTC, which random access scheme should be chosen is still an open issue.To address this issue, the network throughput and signaling overhead analysis of mMTC with PBRA and CBRA were presented, and the problem of throughput maximization while maintaining the signaling-to-throughput ratio below a certain level was solved.Based on this, the optimal access scheme selection strategy and the corresponding optimal network parameter configuration were obtained and verified via simulations.…”
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    Article
  15. 495

    Bag-of-Word approach is not dead: A performance analysis on a myriad of text classification challenges by Mario Graff, Daniela Moctezuma, Eric S. Téllez

    Published 2025-06-01
    “…For a newcomer, it might be impossible to realize that for some text classification problems, the traditional approach is still competitive. …”
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    Article
  16. 496

    Improved snow geese algorithm for engineering applications and clustering optimization by Haihong Bian, Can Li, Yuhan Liu, Yuxuan Tong, Shengwei Bing, Jincheng Chen, Quance Ren, Zhiyuan Zhang

    Published 2025-02-01
    “…Abstract The Snow Goose Algorithm (SGA) is a new meta-heuristic algorithm proposed in 2024, which has been proved to have good optimization effect, but there are still problems that are easy to fall into local optimal and premature convergence. …”
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  17. 497

    Salivary biomarkers: A promising avenue for advancing oral cancer detection by Yuvashree Chandrasekaran, L. Kayal, N. Aravindha Babu, Mukesh Kumar Dharmalingam Jothinathan, Archana Behera

    Published 2024-06-01
    “…Working hand in hand with various research teams is paramount to solving special technology problems and improving saliva testing methods. …”
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    Article
  18. 498

    Orahua: the Elitism of indigenous social institutions and deliberations in South Nias, Indonesia by Sastri Sunarti, Ninawati Syahrul, Erli Yetti, Suryami, Agus Iswanto, Refisrul, Sumarno, Aam Masduki

    Published 2024-12-01
    “…This is particularly evident in the case of solving Direct Cash Assistance (BLT) and other social problems. …”
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  19. 499

    Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

    Published 2024-11-01
    “…This research enriches the existing research on fuzzy decision trees and shows greater potential in solving practical problems.…”
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  20. 500

    Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection by Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang

    Published 2025-01-01
    “…Recently, BS based on multiobjective optimization (MO) has become the predominant method. However, there are still two problems that need to be solved. First, the majority of multiobjective BS methods predominantly optimize accuracy in classification tasks, neglecting the emphasis on anomaly detection. …”
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