Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under e

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Keshnee Padayachee,Grant Royd Howardlt, was die ?tiologische Fragestellung nicht erleichtert. Vieles spricht für einen dominanten Erbgang, ein autosomal dominantes Gen (Sj?gren et al., 1952; Redlich u. Freedman, 1966), bei sporadischen F?llen wurde an Manifesta-tionsschwankungen gedacht (Lüers u. Spatz, 1957). Die weitere Aufkl?-rung

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Bah Tee Eng,Insu Song dar und degenerieren nicht nach Thalamus- oder kontralateraler Rindenl?sion (Jones u. Powell, 1970a). W?hrend die Degeneration in der oberen Molekularschicht unter Beteiligung der Markscheiden weiter fortschreitet, zerfallen auch die übrigen Axone und Dendriten von Lamina I in einzelne gr??ere und

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Miroslav Kozma,Juraj Vincúr,Peter Kapecnik und Problematik der oft schwierigen operativen Behandlung werden ausführlich wiedergegeben. Spezielle Abschnitte über neueste Auffassungen und Techniken, sekund?re Eingriffe und Arthrodesen wurden von Mitarbeitern des Autors gestaltet. Ein Anhang enth?lt die Detailanalyse des verwerteten Kranken

高度

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,Digital Inclusion and?Longevity: Evaluating the?Usability of?Emerging Technologies for?the?Elderly,ation, considering the increase in life expectancy. The qualitative methodology adopts an integrative review of the literature, conducted in three relevant databases: Scopus, Web of Science, and Emerald. The selected articles undergo a synthesis and categorization process through a thematic approach

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,Inter-qubit Correlation of?Readout Noise in?Near-Term Quantum Devices,k the performance of the readout error mitigation (REM) technique for a correlated noise model against a local noise model. In the former case, we consider the full calibration matrix with no assumptions about the noise present in the device, while in the latter, we choose the uncorrelated-noise cal

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,Kernelized Extension for?Multiple-Expert-Learning Classifiers Using Support Vector Machines,tionships between the input features and their corresponding label assignment. The latter is often difficult to be determine, especially when the ground truth is not unique but instead, a combined decision from a group of experts is given. One way to tackle this challenge is by using Multiple Expert

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Cost Optimisation in Offshore Wind Through Procurement Data Analytics,nge on the environment and the global economy through the execution of several policies, including the Paris Agreement. Achieving the objectives of the Paris Agreement seeks to keep the increase in average global temperature to well below 2?℃ and, preferably, below 1.5?℃ above pre-industrial levels,