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  1. 161

    An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

    Published 2024-01-01
    “…Under the combined action of the expansion of the chemical industry zone and urban boundaries, urban areas exposed to danger are also increasing. …”
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    Article
  2. 162

    Multi-Hazard Vibration Control of Transmission Infrastructure: A Pounding Tuned Mass Damper Approach with Lifelong Reliability Analysis by Zhuoqun Zhang, Lizhong Qi, Jingguo Rong, Yaping Zhang, Peijie Li, Ziguang Jia

    Published 2025-03-01
    “…Specifically, the PTMD reduced the vibration reduction ratio by 10% to 30% under wind loads and by 20% to 80% under seismic actions, with more pronounced effects at higher wind speeds and peak ground accelerations (PGAs). …”
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  3. 163
  4. 164

    The Interconnection Between Pharmaceutical Development and Preclinical Research (Review) by I. N. Ampilogova, M. V. Karlina, V. G. Makarov, M. N. Makarova

    Published 2023-05-01
    “…Pharmaceutical development of an innovative highly effective and competitive drug is a long and expensive process, the result of which is quite difficult to predict in advance. To speed up the entry of a new drug to the treatment and reduce the developer's material costs, it is advisable to include preclinical experiments in the process of creating a drug.Text. …”
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    Article
  5. 165

    Contemporary Trends in Economic Cybersecurity by Yu. Yu. Shitova, Yu. A. Shitov

    Published 2019-12-01
    “…It means development of hacking tools while accelerating the speed and scale of attacks. We must implement an integrated, echeloned approach with the same innovative technologies of AI and MO used by hackers, to fight effectively with future cyber threats. …”
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    Article
  6. 166

    Online Neural Dynamics Forecasting for power system security by Mert Karacelebi, Jochen L. Cremer

    Published 2025-06-01
    “…Machine learning (ML) methods offer advantages in terms of computational speed compared to numerical methods and simulators. …”
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    Article
  7. 167

    Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

    Published 2025-04-01
    “…As society evolves and technology advances, increasing transportation demands have heightened safety risks near schools and on mixed-traffic roads. …”
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    Article
  8. 168

    Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

    Published 2020-06-01
    “…Increasing the intensity of Lightning lead to thunderstorms, heavy rain, floods and tornadoes. …”
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    Article
  9. 169

    Presenting the Model of Aligning the Individual Development Program (IDP) with the Career Path, Based on the Foundation's data-theorizing Approach by Ali Kafami Ladani, Abdolali Keshtegar, Aleme Keikha

    Published 2025-03-01
    “…The results showed that the causal factors of aligning the IDP with the career path are the necessity of employee job matching, the lack of structure in the learning and development process, the speed of changes, the reduction of the organization's key capabilities, and the reduction of the employees' organizational affiliation. …”
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    Article
  10. 170

    A New Approach for Online Transient Instability Assessment and Prediction via Tracing the Variation Trend of Synchronous Generator Energy by Parva Soori, Alireza Sobbouhi, Mohamma Reza Aghamohammadi, Mohamma Sadegh Sepasian

    Published 2025-01-01
    “…The energy is calculated using the integral of the electrical power of the generator measured over time. This energy increases during a fault and subsequently decreases in post-fault. …”
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    Article
  11. 171

    The Need for Change: A Roadmap for the Sustainable Transformation of the Chemical Industry by Klaus Günter Steinhäuser, Markus Große Ophoff

    Published 2025-06-01
    “…Achieving greenhouse gas neutrality in Europe by 2050 demands swift and decisive action from industry, governments, and society. The speed of transformation is currently too slow to reach this goal. …”
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    Article
  12. 172

    Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

    Published 2025-05-01
    “…Thus, as a result of the optimization, the total labor intensity of individual transitions decreased by 18.3%, with an increase in processing error by 12.1%, and deterioration of the roughness parameter by 13.2%, which satisfies the initial conditions of optimization. …”
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    Article
  13. 173

    DLP: REDUCED RISK OF LEAKAGE OF CONFIDENTIAL INFORMATION OF THE BANK by T. A. Andryianava, S. B. Salomatin

    Published 2017-11-01
    “…The application of the adapted DLP-system in the Bank allowed to increase the speed of response of information security specialists to the information security events detected by the DLP-system adapted to the Bank, and also allowed the DLP-system to transition from the copy mode to the blocking mode of illegitimate transfer of information.…”
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    Article
  14. 174

    Responses of Semi-Rigid Base Asphalt Pavement with Interlayer Contact Bonding Model by Xuntao Wang, Xuanlong Ma

    Published 2020-01-01
    “…At the higher temperature, the adverse effect of moving loads on asphalt pavement is greater than that of roadbed, and the responses of the asphalt pavement decrease with the increase of the vehicle speed.…”
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  15. 175

    Effects of Acidic Environment on Dynamic Mechanical Properties and Porosity Evolution Characteristics of Coal by Shuang Gong, Xiaojun Li, Wen Wang, Shibin Yao, Juan Liu, Dengyun Niu

    Published 2021-01-01
    “…Longitudinal wave velocity of coal sample decreases gradually with the increase of drying and wetting cycles, and the decreasing speed is first fast and then slow. …”
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  16. 176

    Optimization method of task uninstallation in mobile edge computing environment combining improved deep Q-learning and transmission learning by Lihong Zhao, Shuqin Wang, Xiaomei Ding

    Published 2024-12-01
    “…Experiments have shown that TL-DQN performs better in convergence speed compared to other algorithms. For delay sensitive users, the delay growth of TL-DQN algorithm is relatively slow. …”
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    Article
  17. 177

    Hemodynamic evaluation of pulsatile-flow generating device in left ventricular assist devices by A. S. Buchnev, A. P. Kuleshov, O. Yu. Esipova, A. A. Drobyshev, N. V. Grudinin

    Published 2023-04-01
    “…Objective: to investigate the efficiency of a device that generates pulsatile flow during constant-speed axial-flow pump operation for use in left ventricular assist devices.Materials and methods. …”
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  18. 178

    Challenges of drone development in Iran's agricultural sector: The application of the TOWS analysis by Zahra Khoshnodifar, Pouria Ataei, Hamid Karimi

    Published 2025-05-01
    “…Given the increasing adoption of modern technologies in agriculture and the challenges associated with the acceptance and development of drones in this sector, the present research aimed to analyze the challenges of drone application in Iran's agriculture in order to propose some effective strategies. …”
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  19. 179

    Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

    Published 2025-03-01
    “…Based on these rules, action mask vectors are generated before each action sampling phase to modify the distribution of the output of the policy network. …”
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  20. 180

    Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

    Published 2025-06-01
    “…Smart Manufacturing is rooted in AI, Machine Learned (ML), and Data Synchronized (DS) modeling to tap into invaluable operating data. By making data actionable at larger scales, SM opens new ways to increase productivity, precision, and process performance. …”
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    Article