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THE STRATEGIC RECONFIGURATION OF THE POWER POLES [PDF]
Annals: Series on Military Sciences, 2014 Starting from approaching the aspects of globalism, technological, economical and cultural progress of the contemporary world, the paper focuses on the reconfiguration of the strategic interest of the power hot spots (or power poles), the latest breaking
Sebastian SÂRBU
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Optimization of strategic closed-loop management mechanism for large-scale power grid enterprises adapting to digital transformation [PDF]
SHS Web of Conferences, 2023 When facing increasingly complex and fast-changing strategic situation, powerful strategic management system is crucial for large-scale power grid enterprises to ensure scientific decision-making, coordinated action and efficient management.
Zhang Xiaofeng, Lin Xiaobin, Li Jing
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Building Extraction From Remote Sensing Images With DoG as Prior Constraint
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Building extraction from aerial and satellite remote sensing images is a basic component of social development. Compared to traditional feature extraction strategies, deep convolutional neural networks (CNNs) have the advantage of extracting deep high ...
Yujun Quan +6 more
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Unified building change detection pre-training method with masked semantic annotations
International Journal of Applied Earth Observations and Geoinformation, 2023 Building change detection (CD) using remote sensing images plays a vital role in urban development, and deep learning models attracted attention for their potential to accomplish CD tasks automatically.
Yujun Quan +6 more
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Strategic Power in the European Union [PDF]
Journal of Theoretical Politics, 1999 In this paper we propose a new method to evaluate the distribution of power between decision-making bodies in the European Union. Conventional methods that measure the voting power of players, such as the Banzhaf, Johnston, Holler and Shapley-Shubik indices, are insufficient for this purpose.
Steunenberg, Bernard +2 more
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Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey
Remote Sensing, 2023 The annotations used during the training process are crucial for the inference results of remote sensing images (RSIs) based on a deep learning framework. Unlabeled RSIs can be obtained relatively easily. However, pixel-level annotation is a process that
Anzhu Yu +9 more
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Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry
Zhongguo dianli, 2021 Based on an investigation of the status quo and technical routes of artificial intelligence development at home and abroad, the application scenarios and technical breakthroughs of artificial intelligence technology in thermal power industry is ...
Zhigang HUA +4 more
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Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images
Remote Sensing, 2023 The deep learning method has achieved great success in hyperspectral image classification, but the lack of labeled training samples still restricts the development and application of deep learning methods.
Wenkai Liu +5 more
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Frontiers in Oncology, 2022 BackgroundPerineural invasion (PNI), a form of local invasion defined as the ability of cancer cells to invade in, around, and through nerves, has a negative prognostic impact in oral cavity squamous cell carcinoma (OCSCC).
Li-Yu Lee +8 more
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Thoughts and Countermeasures on Promoting Energy Revolution in the Beijing–Tianjin–Hebei Region
中国工程科学, 2021 Beijing–Tianjin–Hebei coordinated development is a major national strategy of China. This study first analyzes the evolution process of energy production, consumption, and structure proportion in Beijing, Tianjin, and Hebei, indicating that the overall ...
Yan Xiaohui , Gao Dan, Li Yanjie
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