被告
发表于 2025-3-25 04:37:46
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Psa617
发表于 2025-3-25 10:43:41
Xiaoyuan Hu,Qing Xu,Yuejun Guoprojects, the number of changes that need to be integrated, and consequently the number of comments triggered during MCRs could be overwhelming. Therefore, there is a need for quickly recognizing which comments are concerning issues that need prompt attention to guide the focus of the code authors,
披肩
发表于 2025-3-25 12:29:15
Amina Ben Meriem,Lobna Hlaoua,Lotfi Ben Romdhaneprojects, the number of changes that need to be integrated, and consequently the number of comments triggered during MCRs could be overwhelming. Therefore, there is a need for quickly recognizing which comments are concerning issues that need prompt attention to guide the focus of the code authors,
神刊
发表于 2025-3-25 17:22:01
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–scent
发表于 2025-3-25 23:55:12
A Hybrid Representation of Word Images for Keyword Spottingcabulary (OOV) is frequently occurred in keyword spotting. Therefore, the problem of OOV keyword spotting is a challenging task. In this paper, a hybrid representation approach of word images has been presented to accomplish the aim of OOV keyword spotting. To be specific, a sequence to sequence mod
G-spot
发表于 2025-3-26 03:33:35
A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Studyutilization and great variability of usage characteristic. With the development of machine learning techniques, it can offer opportunities for predicting the energy consumptions in hospital. With a case hospital building in Norway, through analyzing the characteristic of this building, this paper fo
态度暖昧
发表于 2025-3-26 06:52:08
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职业拳击手
发表于 2025-3-26 10:55:24
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maculated
发表于 2025-3-26 14:04:42
Clustering Ensemble Selection with Analytic Hierarchy Process. The significance of base clustering is quantified by the average or weighted average of multiple evaluation indexes. However, there exist two limitations in these methods. First, the evaluation of base clusterings in the form of linear combination of multiple indexes lacks the structural analysis
Libido
发表于 2025-3-26 18:00:50
Deep Learning for In-Vehicle Intrusion Detection Systemur safety directly. In this work, we propose a Deep CAN intrusion detection system framework. We introduce a multivariate time series representation for asynchronous CAN data which enhances the temporal modelling of deep learning architectures for anomaly detection. We study different deep learning