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標(biāo)題: Titlebook: Spatial Data and Intelligence; 4th International Co Xiaofeng Meng,Xiang Li,Yafei Li Conference proceedings 2023 The Editor(s) (if applicabl [打印本頁]

作者: 壓榨機    時間: 2025-3-21 17:41
書目名稱Spatial Data and Intelligence影響因子(影響力)




書目名稱Spatial Data and Intelligence影響因子(影響力)學(xué)科排名




書目名稱Spatial Data and Intelligence網(wǎng)絡(luò)公開度




書目名稱Spatial Data and Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Spatial Data and Intelligence被引頻次




書目名稱Spatial Data and Intelligence被引頻次學(xué)科排名




書目名稱Spatial Data and Intelligence年度引用




書目名稱Spatial Data and Intelligence年度引用學(xué)科排名




書目名稱Spatial Data and Intelligence讀者反饋




書目名稱Spatial Data and Intelligence讀者反饋學(xué)科排名





作者: 不足的東西    時間: 2025-3-21 21:22
978-3-031-32909-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: Oversee    時間: 2025-3-22 00:39

作者: enfeeble    時間: 2025-3-22 08:37

作者: 令人苦惱    時間: 2025-3-22 09:08
https://doi.org/10.1007/978-3-031-32910-4Traffic Management; Visualization Analysis; Spatial Big Data Analysis; Spatiotemporal Data Mining; Spati
作者: Mawkish    時間: 2025-3-22 14:49
0302-9743 Nanchang, China, in April 13–15, 2023..The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemp
作者: 無目標(biāo)    時間: 2025-3-22 20:32

作者: 牢騷    時間: 2025-3-23 00:07

作者: 矛盾心理    時間: 2025-3-23 04:14
Research on the Visualization Method of Weibo User Sentiment Analysis Based on IP Affiliation and Cocombining spatio-temporal data such as time and coordinates. Experimental results show that this method is feasible and effective for the visualization of emotion analysis of Weibo users, and can achieve better visualization results.
作者: 皮薩    時間: 2025-3-23 06:57
Village Web 3D Visualization System Based on Cesium frame rate of system visualization is stable at about 35 FPS, which realizes the dynamic scheduling, real-time rendering, viewshed analysis and measurement of village 3D model and lays a foundation for the construction of digital and even smart village.
作者: 一窩小鳥    時間: 2025-3-23 10:20

作者: 闡明    時間: 2025-3-23 15:44
DeepParking: Deep Learning-Based Planning Method for Autonomous Parkingred to be reasonably performed in a very limited space. Moreover, since unstructured parking scenarios are lack of significant common features, creating useful heuristics manually to adapt to changing conditions is a non-trivial task. Therefore, we propose a two-stage scheme, Deep Neural Networks ba
作者: seruting    時間: 2025-3-23 20:05
Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfortn and global warming. Based on this, this paper is dedicated to conducting research on improving the attractiveness of outdoor environmental spaces and improving outdoor thermal comfort. The main work of this paper is first to propose a street comfort model by considering both environmental and clim
作者: resilience    時間: 2025-3-23 23:54
A Composite Grid Clustering Algorithm Based on?Density and?Balance Degreeof bikes and negatively impact the user experience and the operating costs of bike-sharing companies. To address these challenges, bike-sharing companies can create temporary parking stations or electronic fencing and implement bicycle rebalancing strategies across districts. However, these strategi
作者: 赤字    時間: 2025-3-24 03:36

作者: 音樂學(xué)者    時間: 2025-3-24 08:36

作者: FAR    時間: 2025-3-24 11:54

作者: 明確    時間: 2025-3-24 14:56
Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature features extracted by the existing ship classification methods are motion features, which ignore the spatial relation between the vessels and the coastline, a Method based on LightGBM (Light Gradient Boosting Machine) for ship classification considering the offshore distance features is proposed. F
作者: 我不怕犧牲    時間: 2025-3-24 19:59
CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Largeor large scale graphs is trained by full-batch stochastic gradient descent, which causes two problems: over-smoothing and neighborhood expansion, which may lead to loss of model accuracy and high memory and computational overhead. To alleviate these two challenges, we propose CDGCN, a novel GCN algo
作者: BYRE    時間: 2025-3-25 01:13

作者: 色情    時間: 2025-3-25 06:05
Contact Query Processing Based on?Spatiotemporal Trajectory contact tracking can be achieved by examining the trajectories of confirmed patients to identify other trajectories of direct or indirect contact. In this paper, we propose a generalized trajectory contact search (TCS) query that models the contact tracking problem and other similar trajectory-base
作者: PHON    時間: 2025-3-25 10:58

作者: 雜役    時間: 2025-3-25 15:07
Fast Mining Prevalent Co-location Patterns Over Dense Spatial Datasetse consuming. Existing Apriori-like methods focus on improving the efficiency of TI generation, while existing Clique-based methods still contain many repeated traversing processes, and therefore neither of them can very well detect the overlap in TIs. To address these challenges, this paper first pr
作者: 環(huán)形    時間: 2025-3-25 19:01

作者: evince    時間: 2025-3-25 22:43
The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration the problems of data imbalance and lack of data labels, it is a great challenge to build ship behavior analysis and anomaly detection models based on trajectory data. Based on transfer learning and Transformer architecture, this paper proposes an anomaly detection method for adaptive Transformer mo
作者: UNT    時間: 2025-3-26 02:19
Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfortering the public accessibility of the data in the paper in cities across China, this study can be easily deployed to other cities to support urban planning and provide useful recommendations for improvement of urban open spaces.
作者: 驚惶    時間: 2025-3-26 07:17

作者: Corral    時間: 2025-3-26 12:10

作者: 定點    時間: 2025-3-26 13:46

作者: 剝削    時間: 2025-3-26 17:15

作者: 沖突    時間: 2025-3-26 21:21

作者: CHOIR    時間: 2025-3-27 04:18

作者: 槍支    時間: 2025-3-27 09:09

作者: 骯臟    時間: 2025-3-27 10:07

作者: Ointment    時間: 2025-3-27 14:21

作者: 小歌劇    時間: 2025-3-27 19:33
Li Xu,Xiaohui Chen,Bowei Wen,Jingzhen Ma,Yujun Wang,Qing Xu can provide useful insight to researchers, professors, and graduate students in the areas of multimedia and service-oriented computing, as it reports novel research work on challenging open issues in the area 978-3-642-24256-4978-3-642-02937-0Series ISSN 1860-949X Series E-ISSN 1860-9503
作者: Hypomania    時間: 2025-3-28 00:45
APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for?Traffic Flow Forecastican dynamically capture node relationships and model spatial dependency, and enhance the aggregation ability of low-order information; 3) the temporal correlation modeling which models long-term time dependencies using convolution and gating. The final result is obtained by the weighted fusion of th
作者: 高深莫測    時間: 2025-3-28 04:08

作者: hair-bulb    時間: 2025-3-28 07:06

作者: STELL    時間: 2025-3-28 14:29
Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature and yacht, and stable classification results are obtained by 5-fold cross-validation. The results show that the average accuracy of ship classification based on LightGBM model is 86.6% after the offshore distance feature is added, and the classification accuracy is improved by 3.1%, which is better
作者: Glower    時間: 2025-3-28 17:01
CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Largeient descent GCN is added to the model. We have conducted extensive experiments on node classification tasks of multiple datasets. The experiments show that the model has excellent performance, especially in the dataset with a higher average clustering coefficient, and can achieve higher prediction
作者: 直言不諱    時間: 2025-3-28 19:09

作者: 徹底檢查    時間: 2025-3-29 00:59

作者: 按時間順序    時間: 2025-3-29 06:56
Influential Community Search Over Large Heterogeneous Information Networksvertices with high influence, the Reversed-Peel algorithm finds top-.-HICs in a high influence vertices composed set and thus is more efficient. Extensive experiments have been performed on three real large HINs, and the results show that the proposed methods are effective for searching top-.-HICs.
作者: BOLT    時間: 2025-3-29 10:11
Continuous Sub-prevalent Co-location Pattern Miningel pattern, is proposed by defining the continuous sub-prevalent index. Then, an efficient algorithm is designed to mine the proposed patterns by utilizing the anti-monotonicity of continuous sub-prevalent index to prune unpromising patterns. Extensive experiments on synthetic and real datasets veri
作者: disrupt    時間: 2025-3-29 12:00
The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration on correlation weight evaluation method is used to learn and fit the distribution characteristics of subsequences, to effectively describe the similarity and correlation effects between the distributions of each subsequence. At the same time, the attention mechanism is used to build the dynamic trai
作者: anesthesia    時間: 2025-3-29 19:30

作者: CHAFE    時間: 2025-3-29 22:17
Limin Guo,Dongze Li,Zhi Cai to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these
作者: 可憎    時間: 2025-3-30 01:37
to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these
作者: Lobotomy    時間: 2025-3-30 07:55

作者: 貿(mào)易    時間: 2025-3-30 09:40
Yulong Ma,Bing Kong,Lihua Zhou,Hongmei Chen,Chongming Baoreehand drawing from handwriting. The proposed approach works taking into account only the mathematical features belonging to the sketch performed by the user during interaction activity. Moreover, the approach can be used on schemata made up by heterogeneous objects which can also be overlapped.
作者: 有幫助    時間: 2025-3-30 15:48

作者: 無可爭辯    時間: 2025-3-30 19:21

作者: GROWL    時間: 2025-3-30 23:57

作者: dura-mater    時間: 2025-3-31 01:56
tact. In groups containing more than one offspring, brothers and sisters had the closest relationship. The adult pair remain together within the same home range for more than one season and presumably for life. Subsequently, some hypotheses about when monogamy should evolve are discussed.
作者: stroke    時間: 2025-3-31 07:48

作者: 毗鄰    時間: 2025-3-31 12:46

作者: 可以任性    時間: 2025-3-31 16:34

作者: fastness    時間: 2025-3-31 20:38
perspective on the nature of human information behavior.Hig.New Directions in Human Information Behavior, co-edited by Drs. Amanda Spink and Charles Cole provides an understanding of the new directions, leading edge theories and models in human information behavior. Information behavior is conceptu
作者: legislate    時間: 2025-3-31 22:21
perspective on the nature of human information behavior.Hig.New Directions in Human Information Behavior, co-edited by Drs. Amanda Spink and Charles Cole provides an understanding of the new directions, leading edge theories and models in human information behavior. Information behavior is conceptu
作者: PALL    時間: 2025-4-1 02:11
Bowen Zhang,Bohan Li,Jinzhan Wei,Hao Weng edge theories and models in human information behavior. Information behavior is conceptualized as complex human information related processes that are embedded within an individual’s everyday social and life processes...The book presents chapters by an interdisciplinary range of scholars who show




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