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Pre-processing and Pre-trained Word Embedding Techniques for Arabic Machine Translation.

, , and . ISDA (2), volume 715 of Lecture Notes in Networks and Systems, page 115-125. Springer, (2022)

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Multiple audio watermarking system based on CDMA., and . Int. J. Inf. Commun. Technol., 9 (2): 160-176 (2016)A Wavelet Denoising and Teager Energy Operator-Based Method for Automatic QRS Complex Detection in ECG Signal., , and . Circuits Syst. Signal Process., 39 (10): 4943-4979 (2020)Audio watermarking with high embedding capacity based on multiple access techniques., and . Digit. Signal Process., (2014)Cross-Subject EEG Signal Classification with Deep Neural Networks Applied to Motor Imagery., , and . MSPN, volume 11557 of Lecture Notes in Computer Science, page 124-139. Springer, (2019)The performance of an automatic aircraft identification in flat fading channels., , and . SITA, page 1-5. IEEE, (2016)Pre-processing and Pre-trained Word Embedding Techniques for Arabic Machine Translation., , and . ISDA (2), volume 715 of Lecture Notes in Networks and Systems, page 115-125. Springer, (2022)Impact of spreading codes on CDMA based audio watermarking system., and . ICT, page 1-5. IEEE, (2013)Speaker identification: A way to reduce call-sign confusion events., , and . ATSIP, page 1-6. IEEE, (2017)Embedding and extracting multiple watermaks in audio signals using CDMA., and . SITA, page 1-7. IEEE, (2014)Policy Gradient for Arabic to English Neural Machine Translation., , and . BDIoT, volume 489 of Lecture Notes in Networks and Systems, page 469-480. Springer, (2021)