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  1. 14701
  2. 14702
  3. 14703

    Modification of IPI Method for Extraction of Short-Term and Imminent OLR Anomalies and Case Study of Two Large Earthquakes by Maoning Feng, Pan Xiong, Weixi Tian, Yue Liu, Changhui Ju, Cheng Song, Yongxian Zhang

    Published 2024-12-01
    “…The Pattern Informatics Method (PI) was initially developed for medium-to-long-term earthquake prediction by analyzing changes in seismic activity. …”
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  4. 14704

    Fatigue Damage Prognosis Method for Main Girders of Cable-Stayed Bridges Based on Wavelet Neural Network by Shan Huang, Rui Chen, Jun Ling, Nan Jin

    Published 2025-06-01
    “…This method integrates WNN with multi-scale finite element modeling to predict fatigue damage progression. First, the theoretical foundation and implementation algorithms of the WNN are elaborated on and applied to forecast the future load environments of cable-stayed bridges. …”
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    Article
  5. 14705

    Applications of Machine Learning Technologies for Feedstock Yield Estimation of Ethanol Production by Hyeongjun Lim, Sojung Kim

    Published 2024-10-01
    “…As a result, this study will help researchers and engineers predict feedstock yields using various machine learning techniques, and contribute to efficient and stable biofuel production and supply chain design based on accurate predictions of feedstocks.…”
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  6. 14706

    Improving Balanced Accuracy for Minority Plant Species under Data Imbalance by Ruben Gonzalez-Villanueva, Jose Carranza-Rojas

    Published 2024-09-01
    “…Regardless of the widely known success of deep learning in classification, such models are commonly measured by metrics that do not account for data imbalance, especially in terms of predictions per class, ignoring minority classes. This can be a problem, as minority classes are often the most difficult to predict and collect data for. …”
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  7. 14707
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  9. 14709

    Binary atom search optimisation approaches for feature selection by Jingwei Too, Abdul Rahim Abdullah

    Published 2020-10-01
    “…Atom Search Optimisation (ASO) is a recently proposed metaheuristic algorithm that has proved to work effectively on several benchmark tests. …”
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  10. 14710

    Improved Variable Structure Interacting Multimodels for Target Trajectory Tracking and Extrapolation by Xuanming Ren, Xinmin Tang, Yang Zhou, Xiangmin Guan

    Published 2024-01-01
    “…To improve the lengthy computation time of conventional variable structure interacting multiple model (VSIMM) algorithm and increase the precision of target prediction and extrapolation, the target state and flight intent information captured by the Automatic Dependent Surveillance-Broadcast (ADS-B) are used as the model’s prior information; combining this information with VSIMM theoretical framework, we purpose an intent variable structure interacting multiple model (INT-VSIMM) algorithm. …”
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  11. 14711

    A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques by Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook

    Published 2024-01-01
    “…This study introduces two novel PAPR reduction techniques: a hybrid approach combining the Improved Salp Swarm Algorithm (ISSA) with Partial Transmit Sequence (PTS) and an innovative Iterative Sub-block Phase Rotation (ISPR) method. …”
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  12. 14712

    Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region by Juan Zhao, Rui Liu, Botao Zhou, Yunchao Fu, Yongcai Li, Wenjie Zhang

    Published 2025-06-01
    “…Compared to original scheme1, it effectively achieves a reduction in the annual cost value to 6037.09CNY, representing a decrease of 489.853CNY, along with an energy consumption of 9428.36 kWh, reflectiong a reduction by 13.48 %.This study provides experimental data and passive energy-saving optimization solutions for improving thermal performance in retrofitting prefabricated houses.…”
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  13. 14713

    Handover Strategy for LEO Satellite Networks Using Bipartite Graph and Hysteresis Margin by Sahar Eydian, Maryam Hosseini, Gunes Karabulut Kurt

    Published 2025-01-01
    “…The numerical results demonstrate a significant reduction in handover rate and latency, while improving energy efficiency and achieving enhanced data rates. …”
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  14. 14714
  15. 14715

    Evaluating the performance of herd-specific long short-term memory models to identify automated health alerts associated with a ketosis diagnosis in early-lactation cows by N. Taechachokevivat, B. Kou, T. Zhang, M.E. Montes, J.P. Boerman, J.S. Doucette, R.C. Neves

    Published 2024-12-01
    “…Currently, various commercial systems offer built-in alert algorithms to identify cows requiring attention. To our knowledge, no work has been done to compare the use of models accounting for herd-level variability on their predictive ability against automated systems. …”
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  16. 14716

    A Hierarchical Evolutionary Search Framework with Manifold Learning for Powertrain Optimization of Flying Vehicles by Chenghao Lyu, Nuo Lei, Chaoyi Chen, Hao Zhang

    Published 2025-06-01
    “…This framework employs lightweight manifold dimensionality reduction to compress the decision space, enabling Bayesian optimization (BO) on low-dimensional manifolds for a global coarse search. …”
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  17. 14717

    Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management by Yusuke Nomura, Ziang Liu, Tatsushi Nishi

    Published 2025-02-01
    “…The results show that dynamic programming with action reduction achieved an average of 63.1% reduction in computation time compared to vanilla dynamic programming. …”
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  18. 14718

    Patient Controlled Analgesia for Adults with Sickle Cell Disease Awaiting Admission from the Emergency Department by Josue Santos, Sasia Jones, Daniel Wakefield, James Grady, Biree Andemariam

    Published 2016-01-01
    “…Mean pain intensity (MPI) reduction did not differ between groups. Among visits where PCA was begun in the ED, low utilizers demonstrated greater MPI reduction than high utilizers (2.8 versus 2.0, p=0.04). …”
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  19. 14719

    MUSCLE MRI SEGMENTATION USING RANDOM WALKER METHOD by A. V. Shukelovich, E. V. Snezhko, V. A. Kovalev, A. V. Tuzikov

    Published 2016-10-01
    “…The possibility of clinician’s manual labor amount reduction and random walker algorithm optimization is studied.…”
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