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Titlebook: Emerging Research in Electronics, Computer Science and Technology; Proceedings of Inter V. Sridhar,M.C. Padma,K.A. Radhakrishna Rao Confere

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樓主: TEMPO
31#
發(fā)表于 2025-3-26 21:39:56 | 只看該作者
32#
發(fā)表于 2025-3-27 02:52:32 | 只看該作者
33#
發(fā)表于 2025-3-27 06:32:01 | 只看該作者
Deep-Learning-Based Stance Detection for Indian Social Media Text,d2vec and GloVe, and pre-trained embeddings. These representations were further used in combination with various deep learning architectures such as convolutional neural network (CNN), bidirectional long short-term memory (Bi-LSTM). The results for various combinations are listed.
34#
發(fā)表于 2025-3-27 13:07:30 | 只看該作者
35#
發(fā)表于 2025-3-27 16:04:54 | 只看該作者
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發(fā)表于 2025-3-27 20:02:22 | 只看該作者
37#
發(fā)表于 2025-3-28 00:51:32 | 只看該作者
38#
發(fā)表于 2025-3-28 02:07:29 | 只看該作者
39#
發(fā)表于 2025-3-28 10:03:16 | 只看該作者
Ernst-Walter Reiche,Felix Müllersources of noise. This paper compares LMS adaptive filter for FECG extraction with neural network-based adaptive filter. Twenty cases of clinical data were used. Experimental results showed superiority of later scheme in terms of SNR and MSE.
40#
發(fā)表于 2025-3-28 10:38:41 | 只看該作者
Automatic English to Kannada Back-Transliteration Using Combination-Based Approach,words are segmented into phonemes by predefined rules. These phonemes are transliterated to Kannada script statistically based on probabilities. The paradigm is assessed with 3000 Romanized Kannada test words and obtained an accuracy of 85.4%.
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