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Showing 1 - 20 results of 61 for search 'AI-based reduction models', query time: 0.14s Refine Results
  1. 1

    AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

    Published 2025-02-01
    “…Therefore, it is necessary to develop an AI-based method for calculating fracture parameters to provide real-time display, particularly in fracture reduction machines.MethodsAn AI-based method for automatically calculating of radiographic parameters in distal radius fractures (DRF) was developed. …”
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  2. 2

    Advancing smart aquaculture: Cost-efficient strategies for climbing perch cultivation using AI-based models by Kosit Sriputhorn, Achara Jutagate, Surasak Matitopanum, Rungwasun Kraiklang, Rapeepan Pitakaso, Chakat Chueadee, Sarayut Gonwirat

    Published 2025-12-01
    “…This study introduces a hybrid AI-based optimization framework to enhance climbing perch aquaculture in smart farming systems, targeting improvements in both productivity and cost-efficiency. …”
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    AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

    Published 2025-05-01
    “…While AI‐based data augmentation may assist the model training, it still requires many training images as well as the quality assessment of generated data. …”
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    AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

    Published 2025-01-01
    “…The results showed that, compared to the baseline, the carbon peak under the Economic Development Scenario will be delayed by three years, with an additional 92.74 Mt CO2; while under the Environmental Protection and Energy Transition Scenarios, the peak will be advanced by five and three years, with 106.48 and 73.86 Mt CO2 reductions, respectively. Leveraging multi-source data-driven AI models, this study efficiently provided reliable quantitative support for measuring policies with various priorities, emphasizing the necessity of implementing balanced energy transition strategies. …”
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  13. 13

    Medical data security and effective organization using integrated Blockchain principles in AI-based healthcare 6.0 infrastructures by Mohammad Gouse Galety, Kuan Tak Tan, Pravin R. Kshirsagar, Subba Rao Polamuri

    Published 2025-08-01
    “…The research on HC-6.0 deals with hospital management, blockchain-based data security, and Artificial Intelligence (AI)-based medical data analysis solutions. However, conventional blockchain principles and AI-based industry solutions are vulnerable to attacks and real-time complexities. …”
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    The Role of Artificial Intelligence in Creating New Business Models in The Digital Economy: from Digitalisation to Fully Automated Solutions by S. V. Savin, A. D. Murzin

    Published 2024-12-01
    “…Methodology includes the analysis of practical cases, the calculation of return on investment (ROI), and the assessment of reductions in operating costs.   Scientific novelty lies in the development of an approach to fully automating AI-based business processes, and identifying related challenges, such as problems with trust in AI systems, and ethical aspects of its use.   …”
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    Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce by Hayder Zghair, Rushi Ganesh Konathala

    Published 2025-07-01
    “…Using a three-phase framework, this study integrates data-driven diagnostics, AI modeling, and real-world validation. In the first phase, a systematic analysis of current packaging inefficiencies was conducted through secondary data, benchmarking, and cost modeling. …”
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