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  1. 3761

    Computer vision based automatic evaluation method of Y2O3 steel coating performance with SEM image by Jianhong Zhao, Huamin Yang, Yi Sui

    Published 2025-01-01
    “…This approach not only enhances the training process but also simplifies loss function design, ultimately leading to a proper evaluation of surface modifications in steel materials. …”
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    Article
  2. 3762

    Reliability measures of a computer system with priority to PM over the H/W repair activities subject to MOT and MRT by Ashish Kumar, S.C. Malik

    Published 2015-01-01
    “…This paper concentrates on the evaluation of reliability measures of a computer system of two-identical units having independent failure of h/w and s/w components. …”
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    Article
  3. 3763

    Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision by Graig S. Ganitano, Benji Maruyama, Gilbert L. Peterson

    Published 2025-04-01
    “…Proper process parameter calibration is critical to the success of fused deposition modeling (FDM) three‐dimensional (3D) printing, but is time‐consuming and requires expertise. …”
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    Article
  4. 3764

    Recent innovations in machine learning for skin cancer lesion analysis and classification: A comprehensive analysis of computer‐aided diagnosis by Syeda Shamaila Zareen, Md Shamim Hossain, Junsong Wang, Yan Kang

    Published 2025-03-01
    “…This paper carefully reviews the whole diagnostic process: data preparation, lesion segmentation, feature extraction, feature selection, and final classification. …”
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    Article
  5. 3765

    Computationally Effective Gravity Inversion Allows for High-Resolution Regional Density Modeling of Earth's Crust with the Inclusion of the Topography Layer by Martyshko Pyotr, Byzov Denis, Chernoskutov Aleksandr

    Published 2022-05-01
    “…The method utilizes a closed form expression for the discretized model's gravity field which allows for great accuracy and speed without enforcing restrictions on model geometry or gravity field data grid. Inversion process is based on the conjugate gradient method. …”
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    Article
  6. 3766
  7. 3767
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  9. 3769

    A Comparative Computational Investigation on Amantadine Adsorption on the Surfaces of Pristine, C-, Si-, and Ga-doped Aluminum Nitride Nanosheets by Babak Mohammadi, Mohammad Reza Jalali Sarvestani

    Published 2023-01-01
    “…Therefore, in this investigation, the performance of pristine, C-, Si-, and Ga-doped aluminum nitride nanosheets as a sensor for electrochemical detection of AT was evaluated by density functional theory computations. The calculated adsorption energies were -17.22, -19.06, -28.98, and -20.36 kcal/mol in the cases of pristine, Si-, Ga-, and C-doped nanosheets, respectively. …”
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  10. 3770

    Computational inference of co-regulatory modules from transcription factors, MicroRNAs, and their targets using CanMod2 by Ziynet Nesibe Kesimoglu, Jubair Ibn Malik Rifat, Serdar Bozdag

    Published 2025-04-01
    “…Here, we propose a computational pipeline, CanMod2, which infers modules of TFs, miRNAs, and their co-regulatory targets that are involved in a common biological process. …”
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    Article
  11. 3771
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  13. 3773

    An Integrative Approach to Computational Modelling of the Gene Regulatory Network Controlling Clostridium botulinum Type A1 Toxin Production. by Adaoha E C Ihekwaba, Ivan Mura, John Walshaw, Michael W Peck, Gary C Barker

    Published 2016-11-01
    “…Currently, mathematical models of C. botulinum growth and toxigenesis are largely aimed at risk assessment and do not include explicit genetic information beyond group level but integrate many component processes, such as signalling, membrane permeability and metabolic activity. …”
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    Article
  14. 3774

    Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations by Borut Kirn

    Published 2024-01-01
    “…A computational model enables the extraction of two critical myocardial tissue properties: activation time (AT) and contractility (Con) from recorded cardiac strains. …”
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    Article
  15. 3775

    Method of designing computer education as a means of improving mastering professionally-oriented english by future merchant navy personnel by Tatyana Panayotovna Avanesova, Lena Kamilievna Gruzdeva, Marina Valeryevna Meflekh, Olga Sergeevna Aketina

    Published 2023-03-01
    “…To achieve the intended goal, it is necessary to solve the following problems: to analyze theoretical and methodological aspects of the implementation of the intensive method of teaching foreign language to future merchant navy specialists with the prospect of obtaining effectiveness; to verify experimentally the effectiveness of the developed “STEP 8.0” computer program. In solving the tasks, the following research methods have been used: analysis of psychological, pedagogical, methodological and linguistic literature related to information and communication technologies on the research problem; observation of the process of teaching English to future navigators. …”
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    Article
  16. 3776

    Dynamical and Computational Analysis of Fractional Korteweg–de Vries-Burgers and Sawada–Kotera Equations in Terms of Caputo Fractional Derivative by N. S. Alharthi

    Published 2025-06-01
    “…They efficiently yield rapidly convergent series-type solutions through an iterative process that requires fewer computations. The Caputo operator, used to express the fractional derivatives in the equations, provides a robust framework for analyzing the behavior of non-integer-order systems. …”
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    Article
  17. 3777

    Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents by S. Tasqeeruddin, Shaheen Sultana, Abdulrhman Alsayari

    Published 2025-03-01
    “…The analyses were carried out for separation of drug from a solution by adsorption process where the concentration of drug was obtained in the solution and the adsorbent via computational fluid dynamics (CFD), and the results of concentration distribution were used or machine learning modeling. …”
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  18. 3778
  19. 3779

    Cone-beam computed tomography in endodontics: from the specific technical considerations of acquisition parameters and interpretation to advanced clinical applications by Néstor Ríos-Osorio, Sara Quijano-Guauque, Sandra Briñez-Rodríguez, Gustavo Velasco-Flechas, Antonieta Muñoz-Solís, Carlos Chávez, Rafael Fernandez-Grisales

    Published 2024-02-01
    “…A systematic and reproducible method to review CBCT scans can improve the accuracy of the interpretation process, translating into greater precision in terms of diagnosis and planning of endodontic clinical procedures. …”
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  20. 3780

    Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning by Suranjana V. Mayani, Hessan Mohammad, Soumya V. Menon, Rishabh Thakur, Abdulqader Faris Abdulqader, S. Supriya, Prabhat Kumar Sahu, Kamal Kant Joshi

    Published 2025-07-01
    “…A membrane contactor was employed for the separation and mass transfer analysis for the removal of organic molecules from water. The process is simulated via computational fluid dynamics and machine learning. …”
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    Article