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Murad Khan

Researcher at Kyungpook National University

Publications -  88
Citations -  3307

Murad Khan is an academic researcher from Kyungpook National University. The author has contributed to research in topics: Big data & Home automation. The author has an hindex of 23, co-authored 87 publications receiving 2104 citations. Previous affiliations of Murad Khan include Sarhad University of Science & IT, Ring Road (Hayatabad Link) Peshawar.

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Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities

TL;DR: The paper presents a brief overview of smart cities, followed by the features and characteristics, generic architecture, composition, and real-world implementations ofSmart cities, and some challenges and opportunities identified through extensive literature survey on smart cities.
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Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges

TL;DR: An overview of IoT in the context of the architecture and related technologies is delivered, which describes widely accepted architectural designs, further elaborated with the corresponding communication protocols and standards.
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Deep learning in big data Analytics: A comparative study

TL;DR: The comparative study shows that deep learning techniques can be built by introducing a number of methods in combination with supervised and unsupervised training techniques, and indicates that high involvement of humans to design sophisticated and optimized algorithms based on machine and deeplearning techniques is high.
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Internet of Things Based Energy Aware Smart Home Control System

TL;DR: Simulation results show that the proposed smart home system is less affected by the interference and efficient in reducing the energy consumption of the appliances used in a smart home.
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Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

TL;DR: An IoT based Semantic Interoperability Model (IoT-SIM) is proposed to provide Semantic interoperability among heterogeneous IoT devices in healthcare domain to provide annotations for data.