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Título de Acceso Abierto

Advances in Public Transport Platform for the Development of Sustainability Cities

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

optimization models; timetable; passenger waiting time; vehicle occupancy ratio; intelligent transportation systems; demand prediction; taxi recommendation; vehicle social network; ride-hailing; urban rail transit (URT); exploratory data analysis (EDA); data envelopment analysis (DEA); sustainable transport systems; intelligent transportation systems (ITS); big-data applications; dynamic bus travel time prediction; wide and deep; data fusion; attention; recurrent neural network; deep neural networks; intelligent transportation; railway; CPS; security; safety; critical infrastructure; carsharing; data analysis; delays; demand; public transit; taxi; complex network analysis; centrality measures; network robustness; ridership patterns; clustering analysis; passenger flow; Barcelona underground; artificial intelligence; Big Data analytics; forecasting systems; recommender system; Fintech; passenger traffic; artificial neural network; regression analysis; reputation algorithm; users’ reputation; transport; software application; deep learning; energy consumption; sustainable cities; transfer learning; wastewater treatment plants; unmanned aerial vehicles (UAVs); multi-objective optimization; integer programming; GLPK; variable neighborhood search; search and rescue; learning recommender system; learning object; learning videos; content-based; collaborative filtering; users’ profiling; data extraction; natural language processing; mapping application; time series forecasting; HTM; regression; machine intelligence; cyber-attack detection; IoT; trust; energy trading; trusted negotiations; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-3979-9

País de edición

Suiza