linguistics
发表于 2025-3-23 09:56:25
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固执点好
发表于 2025-3-23 17:19:03
Wavelet Transform Selection Method for Biological Signal Treatmentransmitted. The proposed algorithm aims for lossless compression of the signal by applying Wavelet Packet Transform to keep errors below the unit, with compression rates over 20:1 and with conserved energy in reconstruction as comparison parameter. For algorithm validation, the signal files provided by PhysioBank DataBase are used.
FLAIL
发表于 2025-3-23 19:13:33
Conference proceedings 2020d in the following topics: EEG and other biological signal based interactions; natural language, speech and dialogue processing; vision based interactions; assistive living and rehabilitation; and applications of HCI. .
embolus
发表于 2025-3-24 01:45:55
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exhibit
发表于 2025-3-24 04:02:10
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Inculcate
发表于 2025-3-24 06:47:32
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强有力
发表于 2025-3-24 11:17:21
Detection of Hate and Offensive Speech in Textitectures. We conducted extensive experiments on a benchmark 25K Twitter dataset with traditional machine learning algorithms as well as using deep learning architectures. The results obtained by us using deep learning architectures are better than state-of-the-art methods used for hate and offensive speech detection.
按等级
发表于 2025-3-24 15:03:25
Deep Learning for Hindi Text Classification: A Comparisonus. In this work, we used translated versions of English data-sets to evaluate models based on CNN, LSTM and Attention. Multilingual pre-trained sentence embeddings based on BERT and LASER are also compared to evaluate their effectiveness for the Hindi language. The paper also serves as a tutorial for popular text classification techniques.
abreast
发表于 2025-3-24 21:25:33
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innate
发表于 2025-3-25 01:54:54
Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Dronesginations can be used for generation of control signals for drone. Different machine learning and deep learning approaches have been developed in the state of the art literature for the classification of motor imagery EEG signal. There is still a need for developing a suitable model that can classif