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Titlebook: Artificial Intelligence and Robotics; 7th International Sy Shuo Yang,Huimin Lu Conference proceedings 2022 The Editor(s) (if applicable) an

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https://doi.org/10.1007/978-3-8348-9100-6enance costs, this method was designed for realizing early detection of various cracks on the surface of pavement, which are mostly made of concrete, asphalt and other materials. To improve the accuracy of crack detection, this paper slightly modifies the backbone network vgg16 to retain the crack f
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Das Konzept der Finite-Element-Methode,de range of application scenarios. Through the BCI technology based on electroencephalography (EEG) signal, the communication and control of external devices can be realized independently of the peripheral nervous system and muscle tissue. Motor imagery (MI) is a process in which people imagine thei
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Das Konzept der Finite-Element-Methode,rences, even modern networks cannot segment test datasets from different domains very well. To reduce and avoid costly annotation of the source domain training data, unsupervised domain adaptation attempts to provide efficient information transfer from the source domain with detailed annotation to t
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https://doi.org/10.1007/978-3-663-10052-2 the online updating tracker. However, few efforts were spent on drone-based object tracking because of its complexity. In this paper, a novelty ensemble of classification and matching model with alpha-refine (ECMMAR) method is proposed for drone-based object tracking. ECMMAR integrates two differen
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,FEM-Ansatz für dynamische Probleme,uses a language model to judge whether a sentence is grammatical and then uses Break-It-Fix-It (BIFI) framework to fix the broken sentence. However, it does not work in the scenario of multimodal, since the text is usually not a complete sentence and the errors are often not grammatical errors. Besi
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,FEM-Ansatz für dynamische Probleme,tial evolution algorithm with an adaptive population size reduction strategy (APRDE) is proposed. Firstly, in the mutation and crossover operation, to balance the local exploitation and global exploration capabilities of the algorithm, a parameter adaptive tunning scheme based on the hyperbolic tang
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