has been cited by the following article(s):
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[1]
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A deep learning approach: physics-informed neural networks for solving a nonlinear telegraph equation with different boundary conditions
BMC Research Notes,
2025
DOI:10.1186/s13104-025-07142-1
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[2]
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Optimization method for obstacle avoidance of overhead transmission lines in airport clearance protection area based on GSA algorithm
Journal of Physics: Conference Series,
2025
DOI:10.1088/1742-6596/2965/1/012040
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[3]
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MT-PINNs: multi-term physics-informed neural networks for solving initial boundary value problems of 2D and 3D nonlinear telegraph equations
Boundary Value Problems,
2025
DOI:10.1186/s13661-025-02062-2
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[4]
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A Deep Learning-based Study of Terrain Classification and Distance Optimization for Transmission Lines
2024 4th International Conference on Smart Grid and Energy Internet (SGEI),
2024
DOI:10.1109/SGEI63936.2024.10914174
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[5]
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Abnormal target detection method of transmission line flaw detection robot based on X-ray image feature segmentation algorithm
2024 International Conference on Power Electronics and Artificial Intelligence,
2024
DOI:10.1145/3674225.3674321
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[6]
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Fault Distance Location on an Electrical Transmission Line of a Medium-Voltage Network Using a New Solutions of the Telegraphy Equations
2024 IEEE Multi-conference on Natural and Engineering Sciences for Sahel's Sustainable Development (MNE3SD),
2024
DOI:10.1109/MNE3SD63831.2024.10812170
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