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Titlebook: Housing Market Challenges in Europe and the United States; Philip Arestis (University Director of Research, D Book 2009 Palgrave Macmillan

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Elisabeth Springler,Karin Wagnerriving the demand for design guidelines of easy-to-implement landmark detection solutions. When transforming such landmarks appropriately to surrogate targets, the competitive nnDetection and nnU-Net frameworks provide such solutions, especially for small data settings. Here, the underlying networks
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Dieter Gstachs like homes and vehicles that would otherwise be unaffordable. As global economies become more interconnected and interdependent, the demand for capital has significantly increased. Loans can offer financial benefits when used wisely, but they also pose notable challenges. The last decade saw a sur
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Montserrat Pareja-Eastaway,Maria Teresa Sânchez-Martinez National Transparency Platform’s extensive archive, which includes over 2 million requests for information, with the goal of discerning the primary interests of citizens in government actions from 2003 to 2020. Through the analysis of 2,518,875 requests, Genetic Algorithms were employed to fine-tun
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Guido WolswijkManagement (SCM) is key to success and competitive advantage, yet SCM faces challenges such as collaboration, adoption of emerging technologies (including Artificial Intelligence, AI), and best practices. The Supply Chain Operations Reference (SCOR) model is a powerful tool for evaluating and compar
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Martin Eiglspergercluding sports training. This chapter explores the use of AI in endurance sports and how it enhances various aspects of the sporting world. AI can provide targeted assistance in athletes’ training through methods such as data analysis and simulation of training scenarios. In the context of cycling,
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