Showing 421 - 440 results of 587 for search 'computer (supported OR support) comparative work.', query time: 0.14s Refine Results
  1. 421
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    Fluid-Dynamic and Structural Optimization of a Suction-Enabled Autonomous Grass-Cutter Robot by Shenoy Adithya Kamalaksha, Abhishek Kumar, Rithvik Marneni, Kamarul Arifin Ahmad, Spoorthi Singh, Sharul Sham Dol

    Published 2025-09-01
    “…To fill this gap, this work introduces a novel, multi-domain integration framework combining structural finite-element analysis (FEA), computational fluid dynamics (CFD) with analytical ΔP–Q and Reynolds number modelling, URDF-based Webots simulation, and Python-driven parametric studies, a unified approach not found in prior grass-cutter robot studies. …”
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  3. 423

    Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

    Published 2025-01-01
    “…Rapid growth in global population and urbanisation requires substantial efforts to ensure healthy and supportive environments to improve the quality of life, closely aligned with the principles of healthy ageing. …”
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  4. 424

    Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

    Published 2025-08-01
    “…Comparing treatments: we compared results from 139 clinical trials with over 1 million participants to rank how well different strategies work. …”
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    Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

    Published 2025-01-01
    “…For this purpose, data including porosity, surface hardness, and roughness were extracted from the literature, and additional measurements were performed on additive manufactured samples in the current work. This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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  8. 428

    Coarse-Grained Hawkes Processes by Shinsuke Koyama

    Published 2025-05-01
    “…The introduced model, termed the coarse-grained Hawkes process, effectively captures the second-order statistical characteristics of the bin-count representation of the Hawkes process, particularly when the bin size is large relative to the typical support of the excitation kernel. Building upon this model, we develop a method for inferring the underlying Hawkes process from bin-count observations, and demonstrate through simulation studies that the proposed approach performs comparably to, or even surpasses, existing techniques, while maintaining computational efficiency in parameter estimation.…”
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    Optimization of management of patients with critical lower limb ischemia, allowing for risk of gangrene by A. V. Bykov, N. A. Korenevsky, S. A. Parkhomenko, I. I. Khripina

    Published 2019-04-01
    “…The obtained mathematical models should be used in the medical practice of vascular surgeons and angiologists, both in the form of software for smartphones and tablet computers, and as part of decision support systems, including telemedicine systems.…”
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  11. 431

    Calculation of a heat exchanger using heat pipes in the exhaust air heat recovery system by A. S. Zaitsev, M. V. Shamarov, R. A. Zhlobo, E. O. Ivchenko

    Published 2024-01-01
    “…The research is based on methods of thermodynamic analysis, full-scale and computational modeling of processes and objects of refrigeration and cryogenic technology, air conditioning and life support systems. …”
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  12. 432

    Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

    Published 2025-04-01
    “…NHS England funded the Vanguard initiative (2015–8) to identify and support innovative ways of working with care homes in five areas. …”
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    Determinants of doctor-doctor relationships among academic and clinical staff at a university hospital, Cairo, Egypt: a mixed method study by Shaimaa Samy Yousef, Maha El Gaafary, Sahar Mohamed Sabbour, Sally Adel Hakim, Yosra S. Abd El-Ghaffar, Abeer Hassan Ahmed, Omar Matar, Hoda I. Fahim

    Published 2025-05-01
    “…For the qualitative part, six themes were generated: Factors affecting relations with colleagues both specifically and generally; Reliability of the statement: “When I become a senior, I will treat juniors the same way I was treated”; Causes of strained relationships between colleagues and reflections from personal experiences; Factors that enhance colleague relationships and reflections from personal experiences; Behavior of colleagues in the department when someone faces accountability: and Qualities of an ideal doctor and suggestions for creating a better doctor-to-doctor work environment. Conclusion The study emphasized the importance of creating a supportive academic and professional environment for medical staff, addressing their practical and emotional needs. …”
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    Experimental Validation and Optimization of a Hydrogen–Gasoline Dual-Fuel Combustion Model in a Spark Ignition Engine with a Moderate Hydrogen Ratio by Attila Kiss, Bálint Szabó, Krisztián Kun, Barna Hanula, Zoltán Weltsch

    Published 2025-07-01
    “…The validated model offers a reliable foundation for further dual-fuel optimization and supports the broader integration of hydrogen into conventional internal combustion platforms.…”
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  17. 437

    Full Key-Recovery Cubic-Time Template Attack on Classic McEliece Decapsulation by Vlad-Florin Drăgoi, Brice Colombier, Nicolas Vallet, Pierre-Louis Cayrel, Vincent Grosso

    Published 2024-12-01
    “…In this article, we propose a new side-channel attack on the syndrome computation in the decapsulation algorithm that recovers the private key, which consists of the private Goppa polynomial g and the permuted support L. …”
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    HawkEye: AI-Driven Software for Objective Analysis and Characterization of Nodular Cast Iron Microstructures by Javier Nieves, Antonio Serena-Barriuso, Guillermo Elejoste-Rementeria

    Published 2025-06-01
    “…The software supports both etched and non-etched specimens and automates the segmentation and classification of graphite nodules, gathering their morphological descriptors; it identifies microstructural phases and provides a global quality assessment. …”
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