LIKEN
发表于 2025-3-25 04:53:14
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Glycogen
发表于 2025-3-25 11:26:46
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敲竹杠
发表于 2025-3-25 11:43:49
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沙发
发表于 2025-3-25 18:15:50
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做作
发表于 2025-3-25 23:46:57
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Tractable
发表于 2025-3-26 02:03:56
,Fliesenarbeiten in Treppenhäusern,atistical language identification approaches are effective but need a long text to perform well. To address this problem, we propose the neural model based on the Long Short-Term Memory Neural Network augmented with the Attention Mechanism. The evaluation of the proposed method incorporates tests on
GULP
发表于 2025-3-26 07:59:44
SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networksraits from images captured automatically. Wheat is one of the three major crops in the world with a total demand expected to exceed 850 million tons by 2050. In this paper we attempt estimation of wheat spikelets from high-definition RGB infield images using a fully convolutional model. We propose a
MORT
发表于 2025-3-26 12:03:06
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Abrupt
发表于 2025-3-26 15:08:06
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爱好
发表于 2025-3-26 17:16:48
Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish We propose a named entity recognition framework composed of knowledge-based feature extractors and a deep learning model including contextual word embeddings, long short-term memory (LSTM) layers and conditional random fields (CRF) inference layer. We use an entity linking module to integrate our s