Titlebook: Knee Surgery using Computer Assisted Surgery and Robotics; Fabio Catani,Stefano Zaffagnini Book 2013 Springer-Verlag GmbH Germany, part of

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Fabio Catani,Vitantonio Digennaro,Gianluca Grandi,Andrea Marcovigicability of the methodology using data from the city Lindau (Bodensee) as an example. The paper also discusses the limitations and assumptions of the methodology, and suggests future directions for developing a machine-learning based tool that could support optimal placement of new charging stations

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Norberto Confalonieri,A. Manzottipectively). The data PPP-treated were collected in southwest Niger, along the Sirba river. The results reveal precisions and relative accuracies lower than 5 cm for three hours sessions. The short observation sessions (i.e. one hour and half hour) emerged that APPS provide the most confident solutio

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Francisco Maculé,Luis Lozano within ... classifier has achieved the highest areal classification accuracy. Classification matching between reference data and .-. is 92.4%. The vertical accuracy of individual olive trees from .-. stereo imagery deviates from the reference model (. = 2.57 m). . values are lower for single, indiv

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F. Iacono,Laura Nofrini,D. Bruni,G. Raspugli,B. Sharma,I. Akkawi,M. Lo Presti,M. Nitri,Stefano Zaffatem and is involved in the protection process because she indicates these spatio-temporal conditions, which express the spatio-temporal utility she is willing to sacrifice in order to protect her privacy. We evaluate the two components of the system according to two perspectives: a prediction accura

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Nicola Lopomo,Simone Bignozzi,Cecilia Signorelli,Francesca Colle,Giulio Maria Marcheggiani Muccioli,mines that the non-robust statistical measures could overestimate the input water. In Spain, hydrological modelling for water management and planning is based on mean precipitation values. This study aims to quantify different statistical measurements using long precipitation series provided by The

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