gruelling
发表于 2025-4-1 02:06:16
DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolutnd drug design. Recently, deep-learning based methods have been widely used in the prediction of TFBS. In this work, we propose a novel deep-learning model, called Combination of Multi-Scale Convolutional Network and Long Short-Term Memory Network (MCNN-LSTM), which utilizes multi-scale convolution
expansive
发表于 2025-4-1 08:32:48
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摘要
发表于 2025-4-1 12:20:12
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B-cell
发表于 2025-4-1 17:27:08
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Orgasm
发表于 2025-4-1 19:54:46
Syntactic Analysis of Power Grid Emergency Pre-plans Based on Transfer Learning,nts in the pre-plans, then they can learn from the experience of previous relevant situations, it is necessary to extract the information of the pre-plans and extract its key information. Therefore, deep learning method with strong generalization ability and learning ability and continuous improveme
orthopedist
发表于 2025-4-2 00:17:17
Improved CTC-Attention Based End-to-End Speech Recognition on Air Traffic Control,In this paper, we improved the architecture of joint CTC-attention based encoder-decoder model for Mandarin speech recognition on Air Traffic Control speech recognition task. Our improved system include a Vggblstm based encoder, an attention LSTM based decoder decoded with CTC mechanism and a LSTM b
Explosive
发表于 2025-4-2 05:17:05
Revisit Lmser from a Deep Learning Perspective,-encoder (AE) by folding the architecture with respect to the central coding layer and thus leading to the features of Duality in Connection Weight (DCW) and Duality in Paired Neurons (DPN), as well as jointly supervised and unsupervised learning which is called Duality in Supervision Paradigm (DSP)