Titlebook: Hindenburg; The Wooden Titan John W. Wheeler-Bennett Book 1967 Palgrave Macmillan, a division of Macmillan Publishers Limited 1967 Central

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John W. Wheeler-Bennett terms of quantitative analysis. The biomedical tools are not suitable for extracting the quantitative data. When the gliomas tumor is in images, then radiomics can be used to extract valuable quantitative information for diagnosis and prediction of gliomas tumor. Automated feature learning from med

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John W. Wheeler-Bennettf medical field. This survey paper portrays the background of multimodal medical image process, different multimodal imaging modalities, and various state-of-art methods for multimodal fusion methods. This paper also discusses the importance, opportunities, challenges, and advantages of multimodal m

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algorithms such as support vector machine (SVM), Decision Tree, Random Forest, Gaussian Naive Bayes, and 1D-CNN deep learning algorithm have been used for the classification of the disorders. It has been observed that Gaussian NB performed the best on Schizophrenia data, while Random Forest outperf

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ven to handle the problems including fashion sales forecasting, supply chain optimization, planning and scheduling, textile materialdefect detection, fashion and textile image recognition, fashion image and style retrieval, human body modeling and fitting, etc..978-3-319-99694-3978-3-319-99695-0Series ISSN 2194-5357 Series E-ISSN 2194-5365

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hematikaufgaben der Technik und Naturwissenschaften. Dieses Buch eignet sich als Einführung für den Einsteiger in MATLAB, als begleitendes Übungsbuch für Hörer von Mathematikvorlesungen, als Nachschlagewerk für Dozenten und Praktiker. Es enthält zu allen behandelten mathematischen Problemen typische

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Thermodynamik des Raketenantriebes, generelle Idee eines solchen DD-basierten Simulationsansatzes vorgestellt. Die Ergebnisse zeigen, dass dieser Simulator in vielen praktisch relevanten Fällen den aktuellen Stand der Technik deutlich übertrifft.

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