Titlebook: Artificial Intelligence Applications and Innovations; 14th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia Conference pr

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Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia

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ASPES: A Skeletal Pascal Expert System,ng Card Game, the use of RMs leads to a greatly improved search speed and an extremely limited branching factor. This permits the AI player to play more intelligently than the same algorithm that does not employ them.

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nation. The results of the carried-out experiments show that the correlation exists in our studied real-life datasets. A high correlation existed between the k-core size and the sizes of the inner k-shells in all the examined datasets. However, the correlation starts to decrease in the outer k-shell

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John M. McCann,John P. Gallagherwith backpropagation. Our experiments show that the proposed attention mechanism contributes substantially to the performance gains with the more discriminative snippets by focusing on more relevant video segments.

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Evaluation of Development Tools,orithm achieved high accuracy and robustness for detecting lane boundaries in a variety of scenarios in real time. Besides, we also realized the application of our algorithm on embedded platforms and verified the algorithm’s real-time performance on real self-driving cars.

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Developments in Expert Audit Systemshether the resulting values are statistically different populations. A selection of 8 different datasets are chosen and trained against a binary classifier. The research will demonstrate the power for MKL to produce new and effective kernels showing the power and usefulness of this approach.

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Spatial-Temproal Based Lane Detection Using Deep Learningorithm achieved high accuracy and robustness for detecting lane boundaries in a variety of scenarios in real time. Besides, we also realized the application of our algorithm on embedded platforms and verified the algorithm’s real-time performance on real self-driving cars.