Titlebook: Key Digital Trends in Artificial Intelligence and Robotics; Proceedings of 4th I Luigi Troiano,Alfredo Vaccaro,David Pastor-Escured Confere

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滔滔不絕的人

2367-3370 searchers, and engineers who want to employ AI applications to address real-world issues. The authors hope that businesses and technology creators will also find it appealing to utilise in industry...?.978-3-031-30395-1978-3-031-30396-8Series ISSN 2367-3370 Series E-ISSN 2367-3389

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,Bi-RNN and?Bi-LSTM Based Text Classification for?Amazon Reviews,RNN), and bidirectional long-short-term memory (Bi-LSTM). The accuracy obtained with Bi-RNN and Bi-LSTM is 89.60% and 92.80% respectively. The result shows that Bi-LSTM performs best on the Amazon review dataset.

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Cascaded 3D V-Net for Fully Automatic Segmentation and Classification of Brain Tumor Using Multi-ch3D V-Net framework’s performance is assessed using an existing framework through considering accuracy, sensitivity, precision and IoU metrics for manifesting the proposed V-Net model’s superiority in BT segmentation and classification performance. And the presented 3D V-Net framework supersedes the