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  1. 6061

    An effective algorithm to identify the miscibility gap in a binary substitutional solution phase by Fu T., Du Y., Zheng Z.-S., Peng Y.-B., Jin B., Liu Y.-B, Du C.-F., Liu S.-H., Shi C.-Y., Wang J.

    Published 2020-01-01
    “…The Al-Zn and Al-In phase diagrams are computed by using a home-made code to verify the efficiency of these techniques. …”
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    Article
  2. 6062

    A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties by Andrew B. Waight, David Prihoda, Rojan Shrestha, Kevin Metcalf, Marc Bailly, Marco Ancona, Talal Widatalla, Zachary Rollins, Alan C Cheng, Danny A. Bitton, Laurence Fayadat-Dilman

    Published 2023-12-01
    “…Here, we demonstrate an automated and flexible machine learning workflow designed to compare and identify the most powerful features from computationally derived physiochemical feature sets, generated from popular commercial software packages. …”
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    Article
  3. 6063

    Machine learning Techniques for Spondylolisthesis Diagnosis: a review by Rahma Rabee Aziz, Mohammed S. Jarjees, Mohammad R. Aziz, Ali Asim Hameed

    Published 2024-07-01
    “…This study examines previous research on image processing for spondylolisthesis severity evaluation. …”
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  4. 6064
  5. 6065
  6. 6066

    Measuring. Monitoring. Management. Control by D.A. Samofalov, D.A. Degterev, D.N. Pechenina

    Published 2025-04-01
    “…VR allows for the creation of personalized rehabilitation programs, for example, after acute cerebrovascular accident and various injuries, providing patients with maximum involvement in the recovery process.…”
    Article
  7. 6067
  8. 6068

    Simulations of large-scale zero boiloff, densification, and solidification of hydrogen by Colin P. Mahony, Jeffrey G. Marchetta, Adam M. Swanger

    Published 2025-03-01
    “…The simulations were performed using a commercially available Computational Fluid Dynamics (CFD) pressure-based mass and momentum flow model and an enthalpy-porosity energy model. …”
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  9. 6069
  10. 6070
  11. 6071

    Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography by Manyu Liu, Ying Liu, Aberham Genetu Feleke, Weijie Fei, Luzheng Bi

    Published 2024-09-01
    “…Brain–computer interface (BCI) offers a novel means of communication and control for individuals with disabilities and can also enhance the interactions between humans and machines for the broader population. …”
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  12. 6072

    Algorithmization of the problem of videoscopic evaluation of the steel ropes state by Panfilov A.V., Yusupov A.R., Gavrikov M.M., Sinetsky R.M.

    Published 2023-03-01
    “…To date, the assessment of the state of steel ropes and the safety of their operation is carried out mainly through visual-instrumental control, which is long in time and subject to the influence of the human factor, which determines the relevance of the task of automating this process using computer technology and artificial intelligence methods in order to improve the quality of the assessment, reducing the check interval, detecting defects in steel ropes at an early stage. …”
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    Article
  13. 6073

    Classification of Some Barley Cultivars with Deep Convolutional Neural Networks by Fatih Bayram, Mustafa Yıldız

    Published 2023-01-01
    “…The homogeneity of the seeds is an important factor in terms of processing, transportation, storage, and product quality of agricultural products. …”
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  14. 6074
  15. 6075

    Cross-linking clinical practice guidelines for multimorbidity by Majid Mohammadi, Annette ten Teije, Tim Christen, Janke de Groot, Marlies Verhoeff

    Published 2025-01-01
    “…Our paper introduces an innovative methodology designed to streamline this process by cross-linking different CPGs, thereby facilitating more efficient navigation across various guidelines. …”
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    Article
  16. 6076

    Bridging Neuroscience and Machine Learning: A Gender-Based Electroencephalogram Framework for Guilt Emotion Identification by Saima Raza Zaidi, Najeed Ahmed Khan, Muhammad Abul Hasan

    Published 2025-02-01
    “…First, the novel approach employed involved feeding the data to SVM classifier without computing any features. This method provided an average accuracy of 83%. …”
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    Article
  17. 6077

    Optimization Method of Human Posture Recognition Based on Kinect V2 Sensor by Hang Li, Hao Li, Ying Qin, Yiming Liu

    Published 2025-04-01
    “…Next, the color image is processed using OpenPose to extract 2D skeletal point information, which is then mapped to the depth image to obtain 3D skeletal point information. …”
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  18. 6078
  19. 6079

    The origin of dyspnea and its role in the reduction of exercise endurance in patients with rheumatoid arthritis by Mikhail Vasil'evich Sheyanov, V A Sulimov, Mikhail Vasilyevich Sheyanov, V A Sulimov

    Published 2010-12-01
    “…General clinical examination was performed; QL was estimated using the Saint George's Respiratory Questionnaire and the EQ-5D; spirometry, body plethysmography, estimation of pulmonary diffusion capacity, pulmonary multislice spiral computed tomography (MSCT), and echocardiography were made. …”
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  20. 6080