Showing 1,041 - 1,060 results of 1,064 for search 'soft algorithm', query time: 0.08s Refine Results
  1. 1041

    A Rapid Identification Method for Cottonseed Varieties Based on Near-Infrared Spectral and Generative Adversarial Networks by Qingxu Li, Hao Li, Renhao Liu, Xiaofeng Dong, Hongzhou Zhang, Wanhuai Zhou

    Published 2024-11-01
    “…Feature wavelengths were extracted using Bootstrap Soft Shrinkage (BOSS) and Competitive Adaptive Reweighted Sampling (CARS) algorithms. …”
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    Article
  2. 1042

    Towards a digital twin: Digitization and model-based optimization of the innovative high-gradient magnetic separatorMendeley Data by Marko Tesanovic, Torben Bardel, Robin Karl, Sonja Berensmeier

    Published 2025-01-01
    “…Furthermore, process efficiency is often not fully realized due to the reliance on fixed operational recipes.This study presents a digital twin framework for a pilot-scale HGMS system, integrating real-time monitoring, automated control, advanced mechanistic models, and multi-objective optimization using Bayesian algorithms. The framework was validated for robustness, scalable data handling, and predictive control. …”
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    Article
  3. 1043

    EXPERIENCE OF SUCCESSFUL ACNEFORM ERUPTIONS TREATMENT IN PATIENT WITH MULTIPLE MELANOMA by O. V. Minkina, A. S. Dvornikov, P. A. Skripkina, T. A. Gaydina, E. V. Trushina

    Published 2016-06-01
    “…Subsequently, the patient was verified metastasis in the inginal lymph nodes, in the soft tissues of the hips, to liver. Acute adverse reaction has developed in a short time after getting the anti-tumor target therapy as generalized acneform rush and itching of the skin. …”
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    Article
  4. 1044

    Statistical Analysis of Compact Single-source Flares Observed by STIX by Michalina Litwicka, Tomasz Mrozek, Arun K. Awasthi, Marek Siarkowski, Marek Stęślicki, Janusz Sylwester, Barbara Sylwester

    Published 2025-01-01
    “…Accordingly, we present a statistical investigation of 550 flares showing one compact source in images reconstructed with the MARLIN, Expectation Maximization, and Forward Fit algorithms in the 6–10 keV soft X-ray (SXR) energy channel of the Spectrometer Telescope for Imaging X-rays (STIX), on board Solar Orbiter. …”
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  5. 1045

    Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning by Lin Song, Xingwei Wu, Mengjia Xu, Ling Xue, Xun Yu, Zongqi Cheng, Chenrong Huang, Liyan Miao

    Published 2025-07-01
    “…Meanwhile, correlation analysis and recursive feature elimination were used for feature screening before machine learning model development. Then fifteen algorithms were used to establish models, and an ensemble model was established through soft voting based on the top five performance algorithms. …”
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  6. 1046
  7. 1047

    Fuzzy Controlled MPPT to Grid Connected PV Systems by Sukumar G. Durga, Prasad R. Ramanjan, Vardhan R. Harsha, Pakkiraiah B., Krishna Ch. Leela

    Published 2025-01-01
    “…Among the various methods available, high- performance soft computing techniques serve as robust MPPT strategies. …”
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    Article
  8. 1048

    Artificial Intelligence Control Methodologies for Shape Memory Alloy Actuators: A Systematic Review and Performance Analysis by Stefano Rodinò, Giuseppe Rota, Matteo Chiodo, Antonio Corigliano, Carmine Maletta

    Published 2025-06-01
    “…This synthesis establishes AI as a transformative paradigm for SMA actuation, enabling precise control in aerospace, biomedical, and soft robotics applications.…”
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  9. 1049

    LSTM-Enhanced Deep Reinforcement Learning for Robust Trajectory Tracking Control of Skid-Steer Mobile Robots Under Terra-Mechanical Constraints by Jose Manuel Alcayaga, Oswaldo Anibal Menéndez, Miguel Attilio Torres-Torriti, Juan Pablo Vásconez, Tito Arévalo-Ramirez, Alvaro Javier Prado Romo

    Published 2025-05-01
    “…Four state-of-the-art DRL algorithms, i.e., Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Twin Delayed DDPG (TD3), and Soft Actor–Critic (SAC), are selected to evaluate their ability to generate stable and adaptive control policies under varying environmental conditions. …”
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  10. 1050

    Prevention and Management of Complications With a Hyaluronic Acid–Calcium Hydroxyapatite Hybrid Injectable by Philipp-Dormston WG, De Boulle K, Eccleston DB, Murthy R, Sayed K, Snozzi P, Urdiales-Galvez F

    Published 2025-02-01
    “…Small group workshops also shared management algorithms for late noninflammatory adverse reactions, late inflammatory adverse reactions, localized vascular complications, and retinal vascular complications. …”
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    Article
  11. 1051

    Non-stereotypy (to species) in mysticete downsweeps by Paul Nguyen Hong Duc, Christine Erbe, Shyam Madhusudhana, Daniel Wilkes, Lachlan Gill, Cristina Tollefsen, Narissa de Bruin, Aiyana Erbeking, Curt Jenner, Micheline Jenner, Angela Recalde-Salas, Chandra P. Salgado Kent, Chandra P. Salgado Kent, Kautilya Srivastava, Kautilya Srivastava, Chong Wei, Robert McCauley

    Published 2025-04-01
    “…To improve species identification, we suggest integrating soft labeling, advanced acoustic transforms, sound propagation corrections, and cross-referenced databases. …”
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  12. 1052
  13. 1053

    D-Band 4.6 km 2 × 2 MIMO Photonic-Assisted Terahertz Wireless Communication Utilizing Iterative Pruning Deep Neural Network-Based Nonlinear Equalization by Jingwen Lin, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Siqi Wang, Zhihang Ou, Yuan Ma, Wen Zhou, Jianjun Yu

    Published 2024-10-01
    “…Before pruning, at 10 GBaud transmission, the lowest BER was 0.0362, and at 30 GBaud transmission, the lowest BER was 0.1826, both of which did not meet the 20% soft-decision forward error correction (SD-FEC) threshold. …”
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  14. 1054

    Unearthing large pseudoscalar Yukawa couplings with machine learning by Fernando Abreu de Souza, Rafael Boto, Miguel Crispim Romão, Pedro N. Figueiredo, Jorge C. Romão, João P. Silva

    Published 2025-07-01
    “…To explore the parameter space of the model, we employ a Machine Learning algorithm that significantly enhances sampling efficiency. …”
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  15. 1055
  16. 1056
  17. 1057

    Intelligent Song Recognition via a Hollow‐Microstructure‐Based, Ultrasensitive Artificial Eardrum by Shaopeng Li, Jiangtao Tian, Ke Li, Kemeng Xu, Jiaqi Zhang, Tingting Chen, Yang Li, Hongbo Wang, Qiye Wu, Jinchun Xie, Yongjun Men, Weiping Liu, Xiaodan Zhang, Wenhan Cao, Zhongjie Huang

    Published 2024-11-01
    “…This strategy employs novel geometric engineering of sensing units in the soft microstructure array (to significantly reduce effective modulus) along with complex song recognition exploration leveraging machine learning algorithms. …”
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  18. 1058

    Comparative study on quantum descriptors, molecular docking and dynamic simulation of antiviral drugs with Covid-19 by Elshafie Ahmed Mahmoud Gad, Mohamed Elshafie Ahmed, Jabir H. Al-Fahemi

    Published 2021-03-01
    “…Molecular docking was performed using Autodock 4.2, with the Lamarckian Genetic Algorithm, and was analyzed by Autodock 1.5.6 and Pymol version 1.7.4.5 Edu, However, further research is necessary to investigate their potential medicinal use.…”
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  19. 1059

    Comprehensive Transcriptome Sequencing and Analysis of <i>Euspira gilva</i>: Insights into Aquaculture and Conservation by Zhixing Su, Jiayuan Xu, Xiaokang Lv, Xuefeng Song, Yanming Sui, Benjian Wang, Xiaoshan Wang, Bianbian Zhang, Baojun Tang, Liguo Yang

    Published 2024-11-01
    “…<i>Euspira gilva</i>, a member of the family Naticidae, is predominantly found in intertidal soft mud, sandy soil, and sandy seabeds along the coast of China, where it is valued for its nutritional richness and significant economic value. …”
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    Article
  20. 1060

    Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

    Published 2024-11-01
    “…The ultimate goal is to promote the development of more efficient and accurate algorithms for the detection or analysis of TB, and raise awareness about the importance of early detection. …”
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