Titlebook: Hochkantbiegen von Blechen; Gerhard Oehler Book 1967 Springer Fachmedien Wiesbaden 1967 Biegen.Blech.Forschung

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W. E. G. Saltern help disambiguate each other while training auto annotation systems. For example, even if we only care about simple nouns such as “car,” captions with adjectives (e.g., “red car”) or prepositions (e.g., “the car is on the pavement”) can exploited to better learn models for visual properties linked

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Security Issues and Privacy Challenges of Cyber-Physical System in Smart Healthcare Applicationss like IoT and Machine Learning. To retain credibility among customers, medical professionals, pharmacologists, and other related entities, effective authorization and confidential data transmission are these networks’ major obstacles that must be overcome. However, the implementation of CPS has als

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Visual Steering for?Deep Neural Networks Using Explainable Artificial Intelligenceameters, leading to better generalisation and fewer inductive biases. This approach is applied to several image classification datasets: Imagenette2, BUSI, and skin cancer ISIC. Experimental results show that the generated attention maps highly correspond to the edited ones while having high classification performance.

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Space Information Networks978-981-97-1568-8Series ISSN 1865-0929 Series E-ISSN 1865-0937

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