Smart City Mobility Application--Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data.
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Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility BehaviorRigorous Performance Evaluation of Smartphone GNSS/IMU Sensors for ITS ApplicationsIn Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT ApproachesA Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection.Unsupervised Hierarchical Clustering Approach for Tourism Market Segmentation Based on Crowdsourced Mobile Phone Data
P2860
Smart City Mobility Application--Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data.
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2015 nî lūn-bûn
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2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հուլիսին հրատարակված գիտական հոդված
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@ast
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@en
type
label
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@ast
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@en
prefLabel
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@ast
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@en
P356
P1433
P1476
Smart City Mobility Applicatio ...... is Based on Crowdsourced Data.
@en
P2093
Sidharta Gautama
P2860
P304
15974-15987
P356
10.3390/S150715974
P407
P4510
P577
2015-07-03T00:00:00Z