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Lu Fang,Huaping Liu,Yanzhi Dongs scores, the windows with high scores are collected. The collected sliding windows and actionness proposals are then processed by a temporal convolutional neural network for proposal ranking and boundary adjustment. CTAP outperforms state-of-the-art methods on average recall (AR) by a large margin

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Multilayered Ecological Structure of Blended Learning in Science and Engineering Education in Koreagineering fields, (b) cluster-level initiatives where a cluster of universities specialized in science and technology collaborates to provide blended learning courses to both students and the general public, and (c) nationwide programs of blended learning (e.g., K-MOOC, KIRD). Overall, this chapter

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Book 1980y mechanics and circuits. Although these prerequisites indicate the orientation of the material, the book should be accessible and of interest to students with a much wider spectrum of experience in applied mathemati­ cal topics. The subject matter of the book can be considered to form an introduc­

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