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Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State.

, , , , and . Sensors, 22 (13): 4927 (2022)

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Power Line Detection for Aerial Images Using Object-Based Markov Random Field With Discrete Multineighborhood System., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2024)Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State., , , , and . Sensors, 22 (13): 4927 (2022)Power Line Extraction From Aerial Images Using Object-Based Markov Random Field With Anisotropic Weighted Penalty., , , , and . IEEE Access, (2019)Semantic Segmentation for Remote Sensing Images Using Pyramid Object-Based Markov Random Field With Dual-Track Information Transmission., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images., , , , and . IEEE Access, (2020)Robust power line extraction from aerial image using object-based Gaussian-Markov random field with gravity property parameters., , , and . Signal Process. Image Commun., (2022)Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos., , , , and . Sensors, 21 (16): 5322 (2021)Image segmentation using a unified Markov random field model., , , and . IET Image Processing, 11 (10): 860-869 (2017)SceneNet: A Multifeature Joint Embedding Network With Complexity Assessment for Power Line Scene Classification., , , , , and . IEEE Trans. Aerosp. Electron. Syst., 59 (6): 9094-9116 (December 2023)A Top-Down Application of Multi-Resolution Markov Random Fields with Bilateral Information in Semantic Segmentation of Remote Sensing Images., , and . Geoinformatics, page 1-6. IEEE, (2018)