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Titlebook: Advances in Computational Intelligence Systems; Contributions Presen Nitin Naik,Paul Jenkins,Shaligram Prajapat Conference proceedings 2024

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發(fā)表于 2025-3-28 14:57:40 | 只看該作者
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發(fā)表于 2025-3-29 01:22:08 | 只看該作者
Semi-supervised Semantic Segmentation with?Complementary Reconfirmation Mechanismmory as regards the different approaches necessary for treating fractures by inter- nal fixation. Thus there is a real need for a reference book on the approaches to the shoulder, arm, pelvis, and leg which is instructive and based on clinical practice. This is true both for the emergency situation
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發(fā)表于 2025-3-29 06:59:08 | 只看該作者
Towards the?Use of?Machine Learning Classifiers for?Human Activity Recognition Using Accelerometer aocated anterior to the spinal cord and nerve roots in the cervical and thoracic spine, and anterior to the peripheral nerves that emerge from the lumbosacral spine below the first lumbar ver- tebra. To treat such pathology one prefers to expose the front of the spine directly and widely enough to er
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https://doi.org/10.1007/978-3-662-68284-5ed the development of large-scale systems that enhance responsiveness, reduce processing costs and complexity, and maintain data privacy. In this research paper, we propose a federated deep learning model specifically designed for Arabic sentiment analysis using a Twitter-based benchmark dataset. Ou
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發(fā)表于 2025-3-30 06:40:43 | 只看該作者
Egon Leimb?ck,Andreas Iding,Heiko Meinenhments with fire prevention systems due to the notable increase in fire incidents. Numerous studies have been conducted to develop efficient and optimal fire detection models in order to prevent such mishaps. Initially, thermal/chemical methods were used, but later, image processing techniques were
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