Leveraging machine learning and big data for smart buildings: A comprehensive survey
B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
… used widely by the research community to produce small simulations for relatively large
wireless networks … With the massive amount of data capturing from heterogeneous sources, ML …
wireless networks … With the massive amount of data capturing from heterogeneous sources, ML …
Economically optimal MS association for multimedia content delivery in cache-enabled heterogeneous cloud radio access networks
… through fronthaul links. The centralized C-RAN architecture is economic for the heterogeneous
network … This paper considers a heterogeneous C-RAN (HC-RAN) with macrocells and …
network … This paper considers a heterogeneous C-RAN (HC-RAN) with macrocells and …
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
… Typical options of 4IR technologies include IoT for monitoring, hybrid modeling using AI/ML
and cloud computing, big data for large data storage and analytics, mobile phones, social …
and cloud computing, big data for large data storage and analytics, mobile phones, social …
Verification and validation techniques for streaming big data analytics in internet of things environment
… process the heterogeneous big data in a secure manner for IoT applications, such as denial
of service… to the doctor and patients using a wireless network. A secure intelligence real-time …
of service… to the doctor and patients using a wireless network. A secure intelligence real-time …
Enhancing information security via physical layer approaches in heterogeneous IoT with multiple access mobile edge computing in smart city
… wireless networks with different infrastructures and technologies, as well as diverse intelligent
terminals, often referred to as heterogeneous IoT [3]… and networking, game theory, big data …
terminals, often referred to as heterogeneous IoT [3]… and networking, game theory, big data …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
… The overall performance of any wireless network depends … be of heterogeneous nature with
potentially varying network … IoT networks where a huge data set can be collected and used to …
potentially varying network … IoT networks where a huge data set can be collected and used to …
Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks
… —Heterogeneous cellular networks can offload the mobile … be a promising technique in the
next-generation wireless network. … In this paper, a reinforcement learning (RL) approach is pro…
next-generation wireless network. … In this paper, a reinforcement learning (RL) approach is pro…
Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios
… for big companies, generating huge data (huge data set can … Wireless network technology
has been used to detect … heterogeneous nodes participating in the 5G-IoT network (HetNets). …
has been used to detect … heterogeneous nodes participating in the 5G-IoT network (HetNets). …
Big data analytics: Computational intelligence techniques and application areas
… from Big Data utilization. Different computational intelligence techniques have been considered
as tools for Big Data analytics… We also explore the powerful combination of Big Data and …
as tools for Big Data analytics… We also explore the powerful combination of Big Data and …
Big Data analytics and Computational Intelligence for Cyber–Physical Systems: Recent trends and state of the art applications
… related operations, such as sensing, storing, and processing large amounts of heterogeneous
data. Therefore, it is extremely challenging to effectively handle these operations in terms …
data. Therefore, it is extremely challenging to effectively handle these operations in terms …