acrobat 发表于 2025-3-28 18:07:22
A Novel GIS-Based Machine Learning Approach for the Classification of Multi-motorized Transportatione based on smart phone sensors information and data from Geospatial Information System (GIS). Specifically, reliable transportation mode detection (TMD) algorithms using the real-time sensors data open new possibilities for travel optimization with minimum greenhouse gas emissions.Morsel 发表于 2025-3-28 21:02:47
Towards Integration of Spatial Context in Building Energy Demand Assessment Supported by CityGML Enes to represent and manage the required spatiotemporal information for BEMs and feed a knowledgebase that can be used in WSN deployment optimization algorithms. Finally, the paper presents and discusses a case study to highlight the advantages and limitations of the proposed approach.TATE 发表于 2025-3-28 22:53:50
http://reply.papertrans.cn/103/10218/1021701/1021701_43.pngAccommodation 发表于 2025-3-29 04:07:13
http://reply.papertrans.cn/103/10218/1021701/1021701_44.png喃喃而言 发表于 2025-3-29 09:11:05
A Novel Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Datasetrresponding polygons in the two datasets. The experiment results for five cities in the Province of Quebec indicate that the proposed algorithm can reduce the matching error of previous map matching algorithms from approximately 8% to approximately 3%. Furthermore, the study found that the proposedAntimicrobial 发表于 2025-3-29 14:18:40
http://reply.papertrans.cn/103/10218/1021701/1021701_46.png没收 发表于 2025-3-29 17:55:11
http://reply.papertrans.cn/103/10218/1021701/1021701_47.pngMalaise 发表于 2025-3-29 20:22:20
Mobility Data Analytics with KNOT: The KNime mObility Toolkittform with a collection of new components specifically designed to support processing steps typical of mobility data, including map-matching, trajectory partitioning, and road network coverage analysis. To show the effectiveness of these components, we report also on how we applied them to perform aMAIM 发表于 2025-3-30 00:41:58
http://reply.papertrans.cn/103/10218/1021701/1021701_49.png财产 发表于 2025-3-30 07:48:43
http://reply.papertrans.cn/103/10218/1021701/1021701_50.png