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The widespread application of thermo-responsive hydrogels requires materials with robust mechanical properties and tunable responsiveness. Herein, we report robust thermo-responsive physical hydrogels...
Polyhydroxyurethanes (PHUs), polyurethanes with excellent properties, are cured without poisonous isocyanate. The carbamate groups in the structure can undergo bond exchange in the presence of amino g...
Macroscopic hydrogel fibers are highly desirable for smart textiles, but the fabrication of self-healable and super-tough covalent/physical double-network hydrogels is rarely reported. Herein, copolym...
Recently, hydrogels with adjustable mechanical properties have been developed for information security applications. However, the defects such as easy drying and inferior resistance to extreme tempera...
It is difficult to endow reprocessable shape memory thermosetting resins with outstanding heat resistance and high mechanical strength. Herein, a new kind of reprocessable shape memory thermosetting r...
To study the degradation of thermosetting polymers, we apply a novel method to simultaneously study the chemical structural changes and network topology: evolved gas analysis-mass spectrometry combine...
Over the last three decades, flexibility and controllability considerations for heat exchanger networks (HENs) have received great attention, respectively. However, they should be simultaneously incor...
A heat exchanger network (HEN) plays an important role in the chemical process industry owing to its significant effect in energy recovery. A compression-absorption cascade refrigeration system (CACRS...
考虑到空空导弹对空战胜负的重要影响,针对空战态势状态特征连续、多维的情况以及传统方法缺乏对空战对抗中敌方策略的考虑,将强化学习应用到1vs1超视距空战机动决策。首先,建立了同时为对抗双方进行机动决策的强化学习框架,提出ε-纳什均衡策略来选取机动动作,并通过导弹攻击区优势函数来修正奖赏函数;其次,基于记忆库和目标网络训练Q-network,形成超视距空战机动决策的“价值网络”;最后,设计了Q-net...
Snow avalanche occurring in a micro-climatic condition causing hydro-geo (Hydrological and geological) hazard to the deployed armed forces and nearby inhabitant to the North Western Himalaya about 300...
The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this researc...
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images. Roads are...
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
This work is part of an investigation into the use of GIS for the documentation and comprehension of medieval architectural heritage in the ancient Kingdom of Seville. The research was done in the fra...

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