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Titlebook: International Congress and Workshop on Industrial AI 2021; Ramin Karim,Alireza Ahmadi,Raj Rao Conference proceedings 2022 The Editor(s) (i

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Takashi Tanaka,Yasunori Oura,Syuya Maeda,Zhiqiang Wuon vs. speech synthesis,question answering vs. question generation, and image classification vs. image generation. Dual learning is a new learning framework that leverages the primal-dual structure of AI tasks to obtain effective feedback or regularization signals in order to enhance the learning/in
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Richard Bellizzi,Jason Galary,Alfa Heryudonojects all “nonmedical and scientific” drug uses and implicitly seeks a drug-free world. It questions the logic of that policy approach, its consistency with the reasons given for the conventions, and whether the prevalent interpretation of the conventions is logically derived from them, and it explo
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Muthana Al-Sukhni,Athanasios Migdalason of the current state of the world heroin market and its basic properties—maturity, segmentation, and elasticity—this chapter briefly outlines the history of heroin consumption and its regulation over the last 150 years. Historically, most interventions in the heroin market sought to curb its avai
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Rikard Granström,Peter Söderholm,Stefan Eriksson28 nm FD-SOI technology. Throughout, we provide fabricated ASIC measurements data to support the analysis and theoretical foundations presented in the previous chapters. In addition we show how DML logic can utilize the unique features of an ultra-thin body and box (UTBB) fully depleted silicon on i
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Towards Reinforcement Learning Control of an Electromechanical Pinball Machine,ty management process, artificial intelligence has experienced more usage in production control processes and other complex dynamic systems. In addition to learning speed, the robustness of the resulting algorithm is an important quality criterion..This paper describes the steps towards a reinforcem
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The Research of Civil Aero-Engine Remaining Useful Life Estimation Based on Gaussian Process,ithms for seeking the relationships of the data enhances a lot. This paper proposes a data driven approach using the Gaussian Process (GP) and deep Gaussian Process (DGP) for civil aero-engine remaining useful life (RUL) estimation. The DGP is the extension of the Gaussian Process (GP), which is des
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