反抗者
发表于 2025-3-26 23:10:34
Book 2023data-driven intelligent pipeline systems by studying scheduling-operation- safety management systems. Additionally, within an all-around intelligent pipeline system technology development framework, this book characterizes the scientific problems of intelligent pipeline system services among differe
cliche
发表于 2025-3-27 05:01:02
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随意
发表于 2025-3-27 08:52:17
https://doi.org/10.1007/978-3-319-89569-7rly under unusual circumstances. The findings demonstrate that the suggested technique can operate the gas pipeline system effectively and efficiently while also making precise real-time forecasts beneficial for decreasing future operational losses.
Ingredient
发表于 2025-3-27 10:06:58
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radiograph
发表于 2025-3-27 16:49:25
Culture: Contexts of Ethical Leadership,evaluating natural gas pipeline networks’ supply reliability. The created technique combines stochastic processes, graph theory, and thermal–hydraulic modeling while taking complexity and uncertainty into consideration. The case study shows that a network of gas pipelines is taken into account, and the outcomes are thoroughly studied.
orthopedist
发表于 2025-3-27 17:56:11
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maculated
发表于 2025-3-27 22:58:33
The Philosophy of Descartes: Special Topicsn and location, including acoustic methods, negative pressure waves, intelligent algorithm-based methods, and data-driven methods. The applications of different methods are also given to compare their strengths and weaknesses.
SYN
发表于 2025-3-28 02:11:23
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CAND
发表于 2025-3-28 08:26:04
Book 2023applied for practical success. The text is supported by informative illustrations and case studies so that practitioners can use the book as a toolbox to improve understanding in applying the novel technologies into intelligent pipeline systemmanagement and development..
清真寺
发表于 2025-3-28 13:09:11
Biblical Principles of Crisis Leadershipre. Through the review of the existing articles, the research framework of pipeline scheduling problem is constructed, and their research defects and trends are also analyzed. The aim of this chapter is to provide a comprehensive understanding of pipeline scheduling as well as some directions and inspiration for the future research.