書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops影響因子(影響力)學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops網(wǎng)絡(luò)公開度
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops被引頻次
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops被引頻次學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops年度引用
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops年度引用學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops讀者反饋
書目名稱Green, Pervasive, and Cloud Computing – GPC 2020 Workshops讀者反饋學(xué)科排名
作者: Brittle 時間: 2025-3-21 23:07
https://doi.org/10.1007/978-3-031-41104-5 field, analysts tend to solve customer maintenance problems using predictive modeling. Furthermore, data visualization is usually utilized as an interactive tool to involve domain knowledge in data-driven analysis to select highly relevant features for the sake of improving accuracy and reducing co作者: 分期付款 時間: 2025-3-22 01:24 作者: vascular 時間: 2025-3-22 08:01 作者: Constant 時間: 2025-3-22 11:57 作者: 統(tǒng)治人類 時間: 2025-3-22 13:35 作者: 統(tǒng)治人類 時間: 2025-3-22 20:22 作者: Infant 時間: 2025-3-22 22:25
https://doi.org/10.1007/978-3-319-91890-7we prove that the length of text input has an effect on the main deep learning architectures such as Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) used in text classification. We argue through three distinct indicators in the English standard dataset and Reddit mental illness作者: 圣人 時間: 2025-3-23 05:08
Differential Private Spatial Decomposition for Mobile Crowdsensing Using Staircase Mechanismsory data with users’ sensitive location data may expose them to potential privacy. Differential privacy is a popular privacy preservation approach, which could realize strong privacy protection in various scenarios, ranging from data collection, data releasing, to data analysis. In this paper, we f作者: LATHE 時間: 2025-3-23 05:36
A Visualization Analysis Approach for Logistics Customer Maintenance field, analysts tend to solve customer maintenance problems using predictive modeling. Furthermore, data visualization is usually utilized as an interactive tool to involve domain knowledge in data-driven analysis to select highly relevant features for the sake of improving accuracy and reducing co作者: Obedient 時間: 2025-3-23 11:34
Short-Term Traffic Speed Prediction via Machine Learnings and behaviors to the traffic congestion. In the past years, traffic speed prediction has been studied a lot and different machine learning methods are employed, including deep learning approaches, which recently attracts much attention from both academic and industry fields. In this work, we inves作者: Autobiography 時間: 2025-3-23 14:45
A Privacy Preserving Data Collecting Scheme in Vanetd information. In VCS, vehicle information is shared, which necessitates privacy protection. How to balance information sharing and privacy protection is a great challenge. Identity privacy protection is the basic requirement of VCS. In many schemes, pseudonyms are used to protect the vehicle’s iden作者: SHRIK 時間: 2025-3-23 18:17
An Experimental Method for CAV Dedicated Lane Setting Strategy (CAV) dedicated lane in highway is increased. However, the penetration of CAVs is low at the beginning of this application, and it will increase gradually in the future. Therefore, it is necessary to investigate the setting strategy of the CAV dedicated lane. Here, an experimental method is propose作者: Spina-Bifida 時間: 2025-3-24 01:54 作者: IST 時間: 2025-3-24 02:36 作者: Postmenopause 時間: 2025-3-24 07:37 作者: abnegate 時間: 2025-3-24 13:50
https://doi.org/10.1057/9780230610484y Neural Network and Extreme Gradient Boost. The training and testing data are collected by ourselves from the California Department of Transportation. Through comparisons with the baseline average method, it is obvious that machine learning approaches can achieve more accurate and stable prediction performance.作者: 山羊 時間: 2025-3-24 18:49
https://doi.org/10.1057/9780230107410thout pseudonyms. Furthermore, our scheme supports reputation privacy protection. Finally, security analysis shows that our scheme satisfies the requirement of privacy preserving, and the experiment and performance analysis show our scheme is efficient on computation and communication.作者: AIL 時間: 2025-3-24 21:17
Short-Term Traffic Speed Prediction via Machine Learningy Neural Network and Extreme Gradient Boost. The training and testing data are collected by ourselves from the California Department of Transportation. Through comparisons with the baseline average method, it is obvious that machine learning approaches can achieve more accurate and stable prediction performance.作者: 事物的方面 時間: 2025-3-24 23:34
A Privacy Preserving Data Collecting Scheme in Vanetthout pseudonyms. Furthermore, our scheme supports reputation privacy protection. Finally, security analysis shows that our scheme satisfies the requirement of privacy preserving, and the experiment and performance analysis show our scheme is efficient on computation and communication.作者: 小故事 時間: 2025-3-25 06:20
https://doi.org/10.1007/978-1-349-12613-2d to set the CAV dedicated lane dynamically according to the traffic flow and the penetration of CAVs. The performance has been evaluated by using Plexe that is a platoon simulation platform. Simulation results show that the proposed method improves traffic flow 25.3% compared with the benchmark method.作者: Kidnap 時間: 2025-3-25 11:07
https://doi.org/10.1007/978-3-030-88185-6ices were used to evaluate the forecasting accuracy. Results show the good accuracy of the method for forecasting traffic volumes in the case study. Based on the results obtained in this paper, it could provide reference for traffic volume forecasting for intelligent transportation systems.作者: 輪流 時間: 2025-3-25 14:33
An Experimental Method for CAV Dedicated Lane Setting Strategyd to set the CAV dedicated lane dynamically according to the traffic flow and the penetration of CAVs. The performance has been evaluated by using Plexe that is a platoon simulation platform. Simulation results show that the proposed method improves traffic flow 25.3% compared with the benchmark method.作者: Lethargic 時間: 2025-3-25 18:56 作者: explicit 時間: 2025-3-25 23:10
https://doi.org/10.1007/978-3-662-46756-5lem of traffic velocity missing data recovery as the problem of sparse vectors recovery. Based on a large-scale dataset, we verify the effectiveness of the proposed algorithm. Experimental results show that our STC-CS solution can achieve better recovery performance even if the level of data missing is high.作者: Lipoprotein 時間: 2025-3-26 03:49 作者: 節(jié)約 時間: 2025-3-26 08:21 作者: interference 時間: 2025-3-26 11:47
A Visualization Analysis Approach for Logistics Customer Maintenanceation between continuous features and binary class labels to facilitate classification modeling. A data visualization analysis framework is developed using weight of evidence (WOE), where a semi-supervised approach is proposed to discretize the continuous features for WOE computation targeting on th作者: 管理員 時間: 2025-3-26 14:27
The Influence of Text Length on Text Classification Modelxt length leads to higher training costs of algorithms. It allows us to find that the common text classification algorithm models have shown significant?influence on the standard English dataset and Reddit mental illness dataset. The length of text or a string, especially for controlling the maximum作者: 不舒服 時間: 2025-3-26 19:03
Roland W. Mitchell,Kirsten T. Edwardsrid. We first investigate the relationship between non-uniform error and query intersection area, and utilize the linear least square to fit the linear relation between them. Then we deduce the optimal partition granularity by minimizing non-uniform error and noise error. In the experiments, we use 作者: 不公開 時間: 2025-3-26 22:22
https://doi.org/10.1007/978-3-031-41104-5ation between continuous features and binary class labels to facilitate classification modeling. A data visualization analysis framework is developed using weight of evidence (WOE), where a semi-supervised approach is proposed to discretize the continuous features for WOE computation targeting on th作者: SHOCK 時間: 2025-3-27 01:12
https://doi.org/10.1007/978-3-319-91890-7xt length leads to higher training costs of algorithms. It allows us to find that the common text classification algorithm models have shown significant?influence on the standard English dataset and Reddit mental illness dataset. The length of text or a string, especially for controlling the maximum作者: Vertebra 時間: 2025-3-27 07:58 作者: 失眠癥 時間: 2025-3-27 12:36 作者: 沉思的魚 時間: 2025-3-27 16:41
Green, Pervasive, and Cloud Computing – GPC 2020 Workshops978-981-33-4532-4Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 破布 時間: 2025-3-27 18:37
Martin Eastwoodal class as a form of stratification (and in particular on how ‘the working class’ has been conceived of and represented); through approaches which distinguished between ‘the economic’ and ‘the cultural’ (with the latter seen as critical in the analysis of gendered and racialised inequalities); the 作者: contradict 時間: 2025-3-27 22:55 作者: incite 時間: 2025-3-28 04:06
Internet of Things-Aware Process Modeling: Integrating IoT Devices as Business Process Resourcesstigation of such features very often has a bearing on practical problems of oil prospecting, the location of water-bearing strata, mineral exploration, highways construction and civil engineering. Often, the application of physics, in combination with geological information, is the only satisfactory way towards a solution of these problems.作者: Confess 時間: 2025-3-28 07:33 作者: Glycogen 時間: 2025-3-28 13:02
Neutrosophic Soft Rough Graphs,Neutrosophic soft rough set model is a hybrid model by combining neutrosophic soft sets with rough sets. We apply neutrosophic soft rough sets to graphs. We present the concept of neutrosophic soft rough graphs and describe different methods of their construction. We develop an efficient algorithm of our method to solve decision-making problems.作者: 迅速飛過 時間: 2025-3-28 18:03
https://doi.org/10.1007/978-3-663-05495-5Die Finanzierung der Genoffenfchaft ift auf dreierlei Urt m?glich:.oder durch entfprechende Verbindung diefer drei M?glichteiten.
