Titlebook: Smart Infrastructure and Applications; Foundations for Smar Rashid Mehmood,Simon See,Imrich Chlamtac Book 2020 Springer Nature Switzerland

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ds. A rated survey list of available systems and tools completes the book...With this broad overview, the authors address librarians who preserve our digital heritage, computer scientists who develop technologi978-3-642-07017-4978-3-540-33640-2

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Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detectionhave increased in many major roads due to the lack of public transportation, increasing number of vehicles, and an enormous number of pilgrim visitors all year round. Twitter has emerged as an important source of information on various topics including road traffic. A large number of tweets are post

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Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorialresearch and development. Recent years have seen many new types of transportation data emerging, such as social media and Global Positioning System (GPS) data. These data contains hidden knowledge, which can be used in many applications to improve city operations; road traffic prediction is one aspe

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Parallel Shortest Path Big Data Graph Computations of US Road Network Using Apache Spark: Survey, Artions and infrastructures are increasingly relying on graph computations to model real-life problems. Big data is being generated from various sources such as Internet of Things (IoT) and social media. Big data cannot be processed by traditional tools and technologies due to their properties, volume

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