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Artificial Intelligence Applications to Smart City and Smart Enterprise

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Palabras clave – provistas por la editorial

spatio-temporal; residual networks; bus traffic flow prediction; advance rate; shield performance; principal component analysis; ANFIS-GA; tunnel; online learning; extreme learning machine; cyclic dynamics; transfer learning; knowledge preservation; Feature Adaptive; optimization; Bacterial Foraging algorithm; Swarm Intelligence algorithm; Isolated Microgrid; traffic surveillance video; state analysis; Grassmann manifold; neural network; machine-learning; quality of life; Better Life Index; bagging; ensemble learning; pedestrian attributes; surveillance image; semantic attributes recognition; multi-label learning; large-scale database; traffic congestion detection; minimizing traffic congestion; traffic prediction; deep learning; urban mobility; ITS; Vehicle-to-Infrastructure; neural networks; LSTM; embeddings; trajectories; motion behavior; smart tourism; driver’s behavior detection; texting and driving; convolutional neural network; smart car; smart cities; smart infotainment; driver distraction; cameras; convolution; detection; image recognition; DSS; diabetes prediction; homecare assistance information system; muti-attribute analysis; artificial training dataset; machine learning; big data; data analysis; sensors; Internet of Things; vehicular networks; VDTN; routing; message scheduling; traffic flow prediction; wavenet; TrafficWave; RNN; GRU; SAEs; risk assessment; neural architecture search; recurrent neural network; automated driving vehicle; decision support system; artificial intelligence; disaster management; Smart city; program management; integrated model; smart city; intelligence transportation system; computer vision; potential pedestrian safety; data mining; healthcare; Apache Spark; disease detection; symptoms detection; Arabic language; Saudi dialect; Twitter; high performance computing (HPC); spatial-temporal dependencies; traffic periodicity; graph convolutional network; traffic speed prediction; vehicular traffic; surveillance video; big data analysis; autonomous driving; life quality; pattern recognition

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03936-438-1

País de edición

Suiza