A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
… However, the presence of heterogeneous devices in large … future wireless network requires
automated network processing, … of large data. Thus, in [38] unsupervised learning-based DL …
automated network processing, … of large data. Thus, in [38] unsupervised learning-based DL …
Limitations of information extraction methods and techniques for heterogeneous unstructured big data
… add tremendous challenges to this research due to multimodality, heterogeneity, and
complexity of data. These challenges have been presented in Table 6. Identification of events and …
complexity of data. These challenges have been presented in Table 6. Identification of events and …
Internet of vehicles: Key technologies, network model, solutions and challenges with future aspects
… motivation to evolve the heterogeneous vehicular networks. Paper also proposed … big data
leads to data management issues. To address the big data issue, we also proposed a data …
leads to data management issues. To address the big data issue, we also proposed a data …
Internet of Things and its impacts in computing intelligence: a comprehensive review–IoT application for big data
… including architecture challenge for wide spreading network of IoT, environmental, technical
… internally, heterogeneous and big data processing challenges, noisy and massive-intensive …
… internally, heterogeneous and big data processing challenges, noisy and massive-intensive …
Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system
… heterogeneous … big data in the industries has seen a plethora of changes. Despite this,
due to the constraints in computation, networking, and storage, still, a process involving big data …
due to the constraints in computation, networking, and storage, still, a process involving big data …
Heterogeneous task offloading and resource allocations via deep recurrent reinforcement learning in partial observable multifog networks
… into future wireless networks is … networks by using supervised machine learning, ie, support
vector machines (SVMs), recurrent neural networks (RNNs), convolutional neural networks …
vector machines (SVMs), recurrent neural networks (RNNs), convolutional neural networks …
Internet of underwater things and big marine data analytics—a comprehensive survey
… network architecture of IoUT is intrinsically heterogeneous … ficial for data scientists, ML
engineers, data analyst, big data … The channel models of wired and wireless networks vary with …
engineers, data analyst, big data … The channel models of wired and wireless networks vary with …
An energy-efficient networking approach in cloud services for IIoT networks
D Jiang, Y Wang, Z Lv, W Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
… cally distributed data centers for multimedia IIoT big data … energy-efficient wireless networking
in the big data era: A … routing for transparent heterogeneous ad-hoc network by fusion of …
in the big data era: A … routing for transparent heterogeneous ad-hoc network by fusion of …
5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions
… applications that integrate wireless mobile networks has been … referred to as heterogeneous
networks (HetNets). These are … Big data analytics is a key research direction in smart health…
networks (HetNets). These are … Big data analytics is a key research direction in smart health…
[PDF][PDF] IoT provisioning QoS based on cloud and fog computing
… The cloud is a large data unit where computing and storing are … These nodes are
heterogeneous devices that range from access … Mininet-WiFi network emulator was used to …
heterogeneous devices that range from access … Mininet-WiFi network emulator was used to …