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    Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region by Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Li, Wenjing Liu

    Published 2025-12-01
    “…To address these limitations, this study developed a multi-scale decision-level fusion framework combined with a ResNet deep learning algorithm for fine forest classification, and proposed an HBA-based FCS estimation model by incorporating different stratification schemes –single-stratum (based on either forest type or canopy height distribution (CHD)) and double-strata (integrating both forest type and CHD) based on airborne LiDAR and satellite GaoFen-6 data in a subtropical region, the Baisha State-owned Forest Farm of Fujian Province, China. …”
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    Integration of Hybrid Machine Learning and Multi-Objective Optimization for Enhanced Turning Parameters of EN-GJL-250 Cast Iron by Yacine Karmi, Haithem Boumediri, Omar Reffas, Yazid Chetbani, Sabbah Ataya, Rashid Khan, Mohamed Athmane Yallese, Aissa Laouissi

    Published 2025-03-01
    “…This study aims to optimize the turning parameters for EN-GJL-250 grey cast iron using hybrid machine learning techniques integrated with multi-objective optimization algorithms. The experimental design focused on evaluating the impact of cutting tool type, testing three tools: uncoated and coated silicon nitride (Si<sub>3</sub>N<sub>4</sub>) ceramic inserts and coated cubic boron nitride (CBN). …”
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    Quantum-Enhanced Predictive Degradation Pathway Optimization for PV Storage Systems: A Hybrid Quantum–Classical Approach for Maximizing Longevity and Efficiency by Dawei Wang, Shuang Zeng, Liyong Wang, Baoqun Zhang, Cheng Gong, Zhengguo Piao, Fuming Zheng

    Published 2025-07-01
    “…The framework integrates a quantum-inspired predictive maintenance algorithm, which utilizes probabilistic modeling to forecast degradation states and dynamically adjust charge–discharge cycles in storage systems. …”
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