本土
发表于 2025-3-23 12:12:54
Empirical Evaluation of Deep Learning-Based Travel Time Prediction,accuracy can be offered for alleviating traffic congestion. In addition, to eliminate the influence of nonlinear external factors, a variety of extrinsic data with abrupt properties will be acquired in real time and become part of the research considerations.
碳水化合物
发表于 2025-3-23 14:20:24
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Ingredient
发表于 2025-3-23 21:59:31
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Trigger-Point
发表于 2025-3-24 01:26:18
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条街道往前推
发表于 2025-3-24 04:30:46
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平项山
发表于 2025-3-24 08:58:34
Neurofeedback and AI for Analyzing Child Temperament and Attention Levels,evels. The experimental results not only infer that the value of temperament with EEG classification could be consistent, but also provide a valid way to classify attention levels in specific time period. The combination of the parental subjective report with EEG data demonstrates a novel and valuab
身心疲惫
发表于 2025-3-24 14:15:29
Constructing Dataset Based on Concept Hierarchy for Evaluating Word Vectors Learned from Multisensehierarchies of WordNet and BabelNet to evaluate the similarity between word vectors. We empirically show that the proposed dataset and evaluation metric allow us to evaluate word vectors for multisense words more properly than metrics for an existing dataset.
使尴尬
发表于 2025-3-24 17:36:44
,Prior-Knowledge-Embedded LDA with Word2vec – for Detecting Specific Topics in Documents,f the conventional LDA. (2) Words in each sentence are annotated such that the annotations reflect the topic of the sentence. The conventional LDA sometimes makes confusing/mixed annotations to the words in a single sentence. Our approach, on the contrary, can make annotations that reflect the topic
狂怒
发表于 2025-3-24 19:10:01
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CANE
发表于 2025-3-25 01:14:10
Study on Influencers of Cryptocurrency Follow-Network on GitHub,orithm in identifying influencers of a specific domain. (2) The rate of contribution of a user correlates with their rate of influence, but the explanatory power is small. The amount of activity on GitHub is not as essential for OSS influencers as it is on Twitter, which requires a lot of activity t