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AI-based biplane X-ray image-guided method for distal radius fracture reduction
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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An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk
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Advancing smart aquaculture: Cost-efficient strategies for climbing perch cultivation using AI-based models
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
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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Application of AI-based Predictive Maintenance for Industrial Processes
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An Advanced Generative AI-Based Anomaly Detection in IEC61850-Based Communication Messages in Smart Grids
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Medical data security and effective organization using integrated Blockchain principles in AI-based healthcare 6.0 infrastructures
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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AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China
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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Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications
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Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce
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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Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data
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