E. H. Lu

发表

A Hierarchical Approach for Traffic Sign Recognition Based on Shape Detection and Image Classification

E. H. Lu, Michal Gozdzikiewicz, Kuei-Hua Chang, 2022, Sensors.

Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2010, LBSN '10.

Spatial Perspectives toward the Recommendation of Remote Sensing Images Using the INDEX Indicator, Based on Principal Component Analysis

Jung-Hong Hong, Zeal Li-Tse Su, Eric Hsueh-Chan Lu, 2020, Remote. Sens..

Preference-oriented mining techniques for location-based store search

Eric Hsueh-Chan Lu, Vincent S. Tseng, Jess Soo-Fong Tan, 2011, Knowledge and Information Systems.

Mining fastest path from trajectories with multiple destinations in road networks

Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2011, Knowledge and Information Systems.

Integration of Convolutional Neural Network and Error Correction for Indoor Positioning

Eric Hsueh-Chan Lu, Jing-Mei Ciou, E. H. Lu, 2020, ISPRS Int. J. Geo Inf..

Prediction-based parking allocation framework in urban environments

Eric Hsueh-Chan Lu, Chen-Hao Liao, E. H. Lu, 2020, Int. J. Geogr. Inf. Sci..

A GA-based approach for mining membership functions and concept-drift patterns

Tzung-Pei Hong, Yu Li, Eric Hsueh-Chan Lu, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments

Philip S. Yu, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2011, IEEE Transactions on Knowledge and Data Engineering.

A fuzzy data mining approach for remote sensing image recommendation

Eric Hsueh-Chan Lu, Chun-Hao Chen, Jung-Hong Hong, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

An energy-efficient approach for real-time tracking of moving object in multi-level sensor networks

Eric Hsueh-Chan Lu, Vincent S. Tseng, Kawuu Weicheng Lin, 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).

Personalized trip recommendation with multiple constraints by mining user check-in behaviors

Eric Hsueh-Chan Lu, Ching-Yu Chen, Vincent S. Tseng, 2012, SIGSPATIAL/GIS.

Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations

Eric Hsueh-Chan Lu, Vincent S. Tseng, Jia-Ching Ying, 2014, TIST.

Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints

Eric Hsueh-Chan Lu, Vincent S. Tseng, Chih-Yuan Lin, 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

Urban point-of-interest recommendation by mining user check-in behaviors

Wen-Ning Kuo, Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, 2012, UrbComp '12.

A Framework for Personal Mobile Commerce Pattern Mining and Prediction

Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2012, IEEE Transactions on Knowledge and Data Engineering.

Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments

Eric Hsueh-Chan Lu, Vincent S. Tseng, V. Tseng, 2009, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware.

A Spatial-Temporal Approach for Air Quality Forecast in Urban Areas

Chia-Yu Liu, E. H. Lu, 2021, Applied Sciences.

Semantic trajectory-based high utility item recommendation system

Eric Hsueh-Chan Lu, Vincent S. Tseng, Jia-Ching Ying, 2014, Expert Syst. Appl..

A recommendation framework for remote sensing images by spatial relation analysis

Eric Hsueh-Chan Lu, Jung-Hong Hong, Zeal Li-Tse Su, 2014, J. Syst. Softw..

Mining temporal mobile sequential patterns in location-based service environments

Eric Hsueh-Chan Lu, Vincent S. Tseng, Cheng-Hsien Huang, 2007, 2007 International Conference on Parallel and Distributed Systems.

Rental Prediction in Bicycle-Sharing System Using Recurrent Neural Network

Eric Hsueh-Chan Lu, Zhan-Qing Lin, E. H. Lu, 2020, IEEE Access.