派博傳思國際中心

標題: Titlebook: Big Data; 11th CCF Conference, Enhong Chen,Yang Gao,Wanqi Yang Conference proceedings 2023 The Editor(s) (if applicable) and The Author(s), [打印本頁]

作者: 討論小組    時間: 2025-3-21 18:35
書目名稱Big Data影響因子(影響力)




書目名稱Big Data影響因子(影響力)學科排名




書目名稱Big Data網(wǎng)絡公開度




書目名稱Big Data網(wǎng)絡公開度學科排名




書目名稱Big Data被引頻次




書目名稱Big Data被引頻次學科排名




書目名稱Big Data年度引用




書目名稱Big Data年度引用學科排名




書目名稱Big Data讀者反饋




書目名稱Big Data讀者反饋學科排名





作者: impaction    時間: 2025-3-21 22:33
Scrutinizing the Disabled Body in pproach equipped with privileged information provides a more robust representation of the relationship between input features and target values, allowing for better modeling of complex regression problems. Experimental results on various datasets demonstrate the effectiveness of our approach compared to other regression methods.
作者: ineffectual    時間: 2025-3-22 04:09

作者: Little    時間: 2025-3-22 06:43

作者: tangle    時間: 2025-3-22 09:14
1865-0929 2023.?.The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data..978-981-99-8978-2978-981-99-8979-9Series ISSN 1865-0929 Series E-ISSN 1865
作者: 邊緣    時間: 2025-3-22 16:14

作者: 過渡時期    時間: 2025-3-22 19:08
,Dataset Search over?Integrated Metadata from?China’s Public Data Open Platforms,et the challenge by crawling and integrating metadata records for datasets registered in existing local PDOPs, and we develop a prototype PDOP that provides unified search services over the integrated metadata. We conduct experiments to evaluate the core components of our prototype.
作者: 大喘氣    時間: 2025-3-22 22:18
Conference proceedings 2023 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data..
作者: 倔強不能    時間: 2025-3-23 05:15

作者: 承認    時間: 2025-3-23 07:12

作者: seroma    時間: 2025-3-23 11:36
,Dataset Search over?Integrated Metadata from?China’s Public Data Open Platforms,ment and digital economy. These activities rely on an infrastructure software called public data open platform (PDOP) to provide enabling services. While China’s national PDOP has yet to be completed, one pathway is to integrate the existing hundreds of provincial-level and prefectural-level PDOPs.
作者: parsimony    時間: 2025-3-23 16:53

作者: 物種起源    時間: 2025-3-23 18:10

作者: 接觸    時間: 2025-3-24 00:36
OCWYOLO: A Road Depression Detection Method,oint cloud modeling and segmentation based methods, (3) based on machine/deep learning methods, and (2) (3) hybrid methods. This article proposes a road depression detection algorithm based on Yolov7, which utilizes the Yolov7 network model to make different improvements: to make the localization mo
作者: Biguanides    時間: 2025-3-24 04:51
,Explicit Exploring Geometric Modality for?Shape-Enhanced Single-View 3D Face Reconstruction,ed approaches learn the geometry parameters directly from the 2D image appearance, but the limited information makes it an ill-conditioned task and makes the model struggle to learn the inference evidences. In this work, we propose that the 2D face boundary image contains more semantic information i
作者: 雕鏤    時間: 2025-3-24 06:58

作者: 燒瓶    時間: 2025-3-24 11:05

作者: 雄辯    時間: 2025-3-24 16:59
,Twin Support Vector Regression with?Privileged Information,ctive performance of twin support vector regression by incorporating additional privileged information during the learning process. This TSVR+ introduces a twin-learning strategy that utilizes both original and privileged features to construct two non-parallel boundary functions. One for positive de
作者: ALIBI    時間: 2025-3-24 19:48
Detecting Social Robots Based on Multi-view Graph Transformer,ts has become a long-standing but unresolved problem. Traditional machine learning models or methods have gradually become ineffective with the evolution of social robots. In contrast, analyzing the social network structure where social robots are located has become a more effective method. However,
作者: OASIS    時間: 2025-3-24 23:25
,Scheduling Containerized Workflow in?Multi-cluster Kubernetes,rkflows. This combination provides unprecedented speed, scalability, and efficiency in deploying and managing applications in distributed environments. However, when scheduling complex workflows across multi-cluster Kubernetes environments, existing workflow scheduling systems often fail to provide
作者: 緩解    時間: 2025-3-25 03:37
,A Study of?Electricity Theft Detection Method Based on?Anomaly Transformer,ployment of smart meters has led to the collection of massive amounts of electricity consumption data, which can help identify electricity theft. However, the challenge of detecting electricity theft is heightened by the category imbalance in the electricity consumption data collected. In this study
作者: Toxoid-Vaccines    時間: 2025-3-25 07:48

作者: 摻和    時間: 2025-3-25 12:57

作者: CLIFF    時間: 2025-3-25 18:05
,A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for?Forecasting Multiple Time-Ser domains such as energy consumption, network traffic, and solar radiation. The framework is compared with the conventional self-built MVMD-hybrid framework in terms of ARIMA model fitting time and normalized root mean square error (NRMSE) for forecasting accuracy. The results demonstrate that the pr
作者: Banister    時間: 2025-3-25 21:44

作者: indemnify    時間: 2025-3-26 02:06
The Convolutional Neural Network Combing Feature-Aligned and Attention Pyramid for Fine-Grained Viseliability of high-level feature information are maintained. 2) Attention pyramid: pass the detailed information of low-level features in a bottom-up path to enhance the feature representation; 3) ROI feature refinement: dropblock and zoom-in are used for feature refinement to effectively eliminate
作者: MOAT    時間: 2025-3-26 04:37
OCWYOLO: A Road Depression Detection Method,ed attention mechanisms to existing components without increasing the complexity of the model and achieving the goal of improving accuracy. In addition, we conducted a large number of experiments to verify the superiority of our model. We not only compare it on our road depression dataset but also c
作者: Preserve    時間: 2025-3-26 09:26

作者: Visual-Field    時間: 2025-3-26 12:46

作者: Anhydrous    時間: 2025-3-26 18:41

作者: 疲憊的老馬    時間: 2025-3-26 21:39

作者: hysterectomy    時間: 2025-3-27 04:58

作者: Interlocking    時間: 2025-3-27 08:21

作者: 草本植物    時間: 2025-3-27 12:54
Sara K. Howe,Antonnet Renae Johnsonty question remains a big challenge in existing KT models. This study is based on the observation that KT shows a stronger sequential dependence in the long term than in the short term. In this paper, we propose a novel KT model called “Long-term and Short-term perception in knowledge tracing (LSKT)
作者: Commonplace    時間: 2025-3-27 13:36
Sara K. Howe,Antonnet Renae Johnson domains such as energy consumption, network traffic, and solar radiation. The framework is compared with the conventional self-built MVMD-hybrid framework in terms of ARIMA model fitting time and normalized root mean square error (NRMSE) for forecasting accuracy. The results demonstrate that the pr
作者: vitrectomy    時間: 2025-3-27 18:52
Sara K. Howe,Antonnet Renae Johnsonperimental results show that the accuracy, specificity and AUC of the GA-DCNN reach 0.91, 0.94 and 0.93, respectively. Compared with traditional CNN, GA-DCNN can capture the detailed features of DR lesions and integrate the classification results of the multiple DCNNs, effectively improving the dete
作者: Thyroxine    時間: 2025-3-28 00:10
Sara K. Howe,Antonnet Renae Johnsoneliability of high-level feature information are maintained. 2) Attention pyramid: pass the detailed information of low-level features in a bottom-up path to enhance the feature representation; 3) ROI feature refinement: dropblock and zoom-in are used for feature refinement to effectively eliminate
作者: cipher    時間: 2025-3-28 04:41

作者: PAC    時間: 2025-3-28 09:25

作者: carotid-bruit    時間: 2025-3-28 10:49
Scrutinizing the Disabled Body in e classifier’s own features on model performance, which is integrated in a deep graph convolutional network that contains multiple layers of the same simplified graph network architecture and a nonlinear function that can be recursively optimized. Extensive experiments show that our approach still y
作者: Memorial    時間: 2025-3-28 16:09
https://doi.org/10.1057/9781137491121iew Graph Transformer module, and a multi-view attention module, which can explore the complementarity, consistency, and semantic relevance of multiple different views in online social networks. Experimental results show that MV-GT outperforms many existing methods and also demonstrates the effectiv
作者: frenzy    時間: 2025-3-28 19:53

作者: llibretto    時間: 2025-3-29 00:44
Female Genital Mutilation/-Cutting the relative temporal distance between power consumption data points and their neighbors. We validate the proposed model using the SGCC dataset, and our experimental results demonstrate high accuracy, precision, F1-score, and AUC values.
作者: 獨行者    時間: 2025-3-29 03:25

作者: 調(diào)整    時間: 2025-3-29 09:06
Sara K. Howe,Antonnet Renae Johnsonon their response sequences. KT is crucial for the effectiveness of computer-assisted intelligent educational systems, such as intelligent tutoring systems and educational resource recommendation systems. In recent years, KT models benefited from the deep learning approaches and improved dramaticall
作者: Dungeon    時間: 2025-3-29 11:33
Sara K. Howe,Antonnet Renae Johnsontiple individual models have demonstrated promising results for forecasting performance. However, these models also face the issues of high computational cost and time consumption when dealing with multiple time-series. To address these issues, this paper proposes a novel framework that integrates m
作者: confederacy    時間: 2025-3-29 16:12

作者: grenade    時間: 2025-3-29 20:36

作者: 2否定    時間: 2025-3-30 01:45
Sara K. Howe,Antonnet Renae Johnsonnly focus on extracting information from high-level features, while ignoring the influence of low-level features on FGVC. Based on this, this paper integrates low-level detailed information and high-level semantic information to improve the model performance by enhancing the feature representation a
作者: 老巫婆    時間: 2025-3-30 05:49

作者: 蚊帳    時間: 2025-3-30 11:46
Intimate Violence Across the Lifespaned approaches learn the geometry parameters directly from the 2D image appearance, but the limited information makes it an ill-conditioned task and makes the model struggle to learn the inference evidences. In this work, we propose that the 2D face boundary image contains more semantic information i
作者: 憎惡    時間: 2025-3-30 12:32
https://doi.org/10.1057/9781137491121s and textures, is commonly incorporated into super-resolution reconstruction networks. However, existing models rely on fixed operators to extract binary edge and texture information, which often capture only rough features and fail to accurately represent the desired edge and texture characteristi
作者: vasospasm    時間: 2025-3-30 16:58
Scrutinizing the Disabled Body in information about the relationships between data, which facilitates fraudster detection. However, many real-world applications have encountered difficulties in classifying in unbalanced data, which is common in areas such as financial fraud. We argue that the key to this difficulty is not only the
作者: 沙發(fā)    時間: 2025-3-30 20:45

作者: Pandemic    時間: 2025-3-31 04:08





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