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Titlebook: Recent Trends in Signal and Image Processing; ISSIP 2020 Siddhartha Bhattacharyya,Leo Mr?i?,Mario Koeppen Conference proceedings 2021 The E

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31#
發(fā)表于 2025-3-27 00:09:30 | 只看該作者
2194-5357 8-19, 2020.Serves as a reference for researchers and practitThis book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during Ma
32#
發(fā)表于 2025-3-27 01:27:40 | 只看該作者
Conference proceedings 2021ent of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications in
33#
發(fā)表于 2025-3-27 06:45:32 | 只看該作者
Conference proceedings 2021 and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively..
34#
發(fā)表于 2025-3-27 13:02:56 | 只看該作者
35#
發(fā)表于 2025-3-27 16:26:14 | 只看該作者
36#
發(fā)表于 2025-3-27 21:44:50 | 只看該作者
Chaotic Ions Motion Optimization (CIMO) for Biological Sequences Local Alignment: COVID-19 as a Casped version. Besides, COVID-19 virus was aligned using FLAT according to IMO and chaotic IMO to verify the enhancement of IMO. All results were compared to the results founded by Smith–Waterman approach. The tests prove the superiority of chaotic IMO over IMO for implementing FLAT on all datasets.
37#
發(fā)表于 2025-3-28 00:33:23 | 只看該作者
38#
發(fā)表于 2025-3-28 02:54:21 | 只看該作者
39#
發(fā)表于 2025-3-28 07:36:09 | 只看該作者
40#
發(fā)表于 2025-3-28 12:08:33 | 只看該作者
Speaker Identification in Spoken Language Mismatch Condition: An Experimental Study,spectral features. Apart from that, to build the modern SID i-vectors, time delay neural networks (TDNN), and recurrent neural network with long short-term memory (LSTM-RNN) have been considered. For the evaluation, equal error rate (EER) has been used as a performance matrix of the SID system. Perf
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