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Titlebook: Snapshots of Hemodynamics; An aid for clinical Nico Westerhof,Nikos Stergiopulos,Mark I.M. Noble Book 2005 Springer-Verlag US 2005 cardiov

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f agricultural productivity. Only by detecting the pest at an early stage can it be controlled. Due to the cyclical nature of agriculture, pest accumulation and variety might vary from season to season, rendering standard approaches for pest classification and detection ineffective. Methods based on
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processes. However, since models often fail to account for how inputs to them such as the cutting force coefficients and dynamics change with speed and/or time, and because models make several linearizing assumptions, charts often fail to guide stable cutting in industrial praxis. As an alternate w
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staff, nurses, technicians, and other health care workers are available to help a person. After discharged from the hospital when person comes to home real challenges start to get back to the original health conditions to survive daily life. Rehabilitation plays a major role to recover from the los
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ound its environment. There are various methods and algorithms for navigation whose initial step would be to gain knowledge of the environment that the robot is presented to. Generally, robotic path planning can be either local or global. The basic difference is that in global path planning, the rob
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iefs. When performing this task, existing truth maintenance systems, such as the TMS an ATMS, tend to keep too many alternate beliefs in memory. When searching for consistency among beliefs, and ATMS typically finds all solutions. ATMS finds only one, but beliefs not part of the current theory are s
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continues our effort to view learning a concept from examples as an inference process, based on a declarative representation of biases, developed in [Russell & Grosof 1987, this volume]. In particular, we demonstrate that “version space” bias can be encoded formally in such a way that it will be wea
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e Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Machine Learning, Belief Revision, Meta-Reasoning and Logics. The objective of this Workshop was not only to address the common issues in these
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