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Palabras clave – provistas por la editorial

artificial intelligence (AI); artificially intelligent city; artificially intelligence commons; smart city; smart urban technology; urban informatics; sustainable urban development; climate change; pandemics; natural disasters; sensor city; City 4.0; smart urbanism; smart governance; disruptive urban transition; Internet-of-Things (IoT); technology giants; sensors; transit; bus; transfer; smart card; spatial analysis; mode choice; internet of everything (IoE); 6th generation (6G) networks; artificial intelligence; Distributed AI as a Service (DAIaaS); fog computing; edge computing; cloud computing; smart airport; smart districts; PPE; OHS; risk detection; naive Bayes; support vector machine; convolutional neural network; deep learning; microcontroller; edge-fog-cloud computing; Internet of Things; robotics; autonomous driving; image registration; smart sensor; real time big data; land-use; air quality; particulate matter (PM10 PM2.5); Intelligent Transportation Systems; functional requirements; machine learning; model actionability; model evaluation; cloud server; customized sensor node; customized gateway; FLoRa simulation; LoRa range radio; solid waste management; smart cities; big data; event detection; road traffic; distributed machine learning; automatic labeling; social media; data analytics; social media analytics; Arabic tweets; 3D microstructure reconstruction; permeable pavement; generative adversarial networks; tiny AI; tiny ML; distributed AI as a service (DAIaaS); skin disease diagnosis; healthcare; smart societies; smart healthcare; reference architecture; TensorFlow; visually impaired; smart mobility; LiDAR; ultrasonic; obstacle detection; obstacle recognition; assistive tools; green computing; sustainability; Arduino Uno; smart app; n/a