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Titlebook: Model Systems of Development and Aging of the Nervous System; Antonia Vernadakis,Alain Privat,Ezio Giacobini Book 1987 Martinus Nijhoff Pu

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Theodore Pelagidis,Michael Mitsopoulos both, the student when first confronted with quantum mechanics and the experimental scientist, who has never before used it as a tool, to learn how to apply the general theory to practical problems of atomic physics. Since that early date, many excellent books have been written introducing into the
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Neural Net Tutorial, is not sufficient for efficiently finding high-quality solutions, we can consider the use of machine learning techniques. One such technique is the artificial neural network (neural net), which can be used for predictive modeling. This chapter provides a brief introduction to the topic of neural ne
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Application of Neural Networks in Software Engineering: A Review that the field of software engineering be automated to large extent and human intervention be minimized to optimum level. To achieve this goal the researchers have explored the potential of machine learning approaches as they are adaptable, have learning capabilities and non-parametric. In this pap
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Four-DOF SP= Parallel Mechanisms robotic surgery, the body is entered through a keyhole. Once the keyhole is established, the robot must be constrained to move around it while maintaining this location fixed. A 4-DOF robot that can extend inside the body would then be behaving as an SP serial KC in which the centre of the S joint
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Anticoagulation in Elderly Patients with Atrial Fibrillation Authors, gradually increasing their popularity because of their fewer interactions and ease of use. Their effectiveness and safety have been well-established in the general population, but the benefit in the elderly is still unclear. This chapter aims to analyze the use of direct oral anticoagulant in elderly patients.
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