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Titlebook: Modern Cost-Benefit Methods; An Introduction to F George Irvin Textbook 1978Latest edition George Irvin 1978 development.project.projects

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Jianbo Zhoue thought, image or impulse which cannot be easily dismissed. It is distressing and often leads to a ., the urge to act in a way that the mind knows to be irrational but which can only be resisted with the greatest effort. In Mrs Armstrong’s case the obsession is the persistent thought of having to
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A Resilient Smart Architecture for Road Surface Condition Monitoring architecture for monitoring the condition of road surfaces based on the paradigm of Mobile Crowdsensing. First, a surface detection module extracts high level features from raw data, indicating the presence of hazards. Then, in order to make the system resilient to attacks, the system exploits a re
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Graph Emotion Distribution Learning Using EmotionGCN, influenced by the emotion, making decisions, and exhibiting behaviors with the surroundings and other well-being. The emotion identification of person is very much useful in the case medical domain. The problem in detecting the emotions from these data is a single image can exhibit different emotio
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Urban-Tourism Spaces on the Coast: Transformations, Challenges and Globalisation in Uncertain Scenar all the territorial mutations generated by tourism, those occurring in coastal areas are particularly interesting as these are fragile and complex environments which have suffered the greatest territorial transformations. The importance and significance of the changes taking place in them are direc
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Studies in Systems, Decision and Controla further increase in the signal-to-noise ratio. Additionally, the full benefit of the higher signal-to-noise ratio can be realized through the use of the data processing potential arising from the availability of the minicomputer.
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Computer Aided Preform Design for Long Hot Forgingss, to more closely approach the cross sections of the final part..A computer aided design procedure for the design of the fullering, rolling and moulding impressions for certain classes of long forgings is described. All the die profiles are determined from the same input data, together with details of the flash geometry, stock size required, etc.
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https://doi.org/10.1007/978-3-8350-5402-8 datasets and three natural benchmarks. The proposed method outperformed other methods we compared with in classification accuracy but also in robustness, within and across different datasets and domains.
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