Titlebook: Smart Network Inspired Paradigm and Approaches in IoT Applications; Mohamed Elhoseny,Amit Kumar Singh Book 2019 Springer Nature Singapore

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Sanae Hanaoui,Jalal Laassiri,Yousra Berguigse and accelerate the development of public transit. The importance of the transport economic policy must not be ignored because a policy preference will possibly affect travel behavior to a great extent. Taking subsidy as an angle and the city Nanjing as an example, this article focused on analyzin

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G. Kadiravan,Pothula Sujathas mathematical models and algorithms with theoretical guaran.The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common featu

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Teoh Joo Fong,Azween Abdullah,Hamid Reza Boveiri, and innovativeness. Given that non-R&D-intensive sectors and firms used to be neglected both as innovators and innovation drivers by the mainstream innovation literature, this anthology reflects the latest research from different collaborative projects at Fraunhofer ISI. Although the presented res

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G. Kadiravan,Pothula Sujathaance gains..This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and dis978-981-15-3872-8978-981-15-3870-4

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,Internet of Things—The Concept, Inherent Security Challenges and Recommended Solutions,etwork and Internet host, (ii) a robust authentication scheme considering both local and global IoT to offer better secure pervasiveness in its applications, and (iii) to apply optimisation towards key management techniques.

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WordNet Ontology-Based Web Page Personalization Using Weighted Clustering and OFFO Algorithm,et. From that, the maximum similarity based data is achieved by the proposed algorithm called Oppositional based FireFly Optimization (OFFO). The results demonstrate that the WC-OFFO attains the precision of 89.16, recall of 78.09 and f-measure of 83.26 which is high compared to existing algorithms.