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Updated: Sep 10, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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使用可解释机器学习技术的集成多任务深度学习框架优化和预测基于飞灰的可持续混凝土的性能

Bhupesh P Nandurkar1, Jayant M Raut1, Pawan K Hinge1

  • 1Department of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, 441110, Maharashtra, India.

Scientific reports
|August 21, 2025
PubMed
概括

这项研究引入了一种混合人工智能模型,用于准确预测混凝土的强度,其中包括飞灰. 这种可解释的模型通过提供明确的强度因素来提高建筑安全性和材料设计.

关键词:
自动ML优化混凝土的压力强度深度神经网络飞灰的反应性梯度提升多任务学习框架非破坏性测试SHAP和LIME的解释性

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