T Han, K Muhammad, T Hussain… - … Internet of Things …, 2020 - ieeexplore.ieee.org
… IoT networks by using deeplearning strategies, we propose a novel edgeintelligence-based … 1) We handle energy demand fluctuations via dependable edge intelligence-based novel …
Y Huang, X Qiao, S Dustdar, J Zhang, J Li - IEEE Network, 2022 - ieeexplore.ieee.org
… deeplearning inference system for IoT devices, which completely migrates DNN computations from the cloud center to the IoT … that is difficult for an individual IoT device to accomplish. …
… by IoT are extremely valuable. ML can play an analytical role in building intelligentIoT systems to deliver smart services in the IoT … that are used in various IoT applications. However, …
… Deeplearning and the Internetofthings (IoT) confer an agile … system based on deep learning and IoT. The proposed … (CNN), a popular deeplearning paradigm. The scheme also …
… of AI, machine learning [4] has brought momentum, and the proliferation of intelligent devices is driven via deeplearning [5]. A convolution neural network is a deeplearning algorithm …
S Tang, L Chen, K He, J Xia, L Fan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… computational intelligence and deeplearning (DL) in edge-enabled industrial IoT networks. … deploy edge intelligence in the IoT networks. Due to the decentralized nature of data in the …
… It enables secure sharing of data and resources to the different nodes of the IoT network … an optimal deep-learning-based secure blockchain (ODLSB) enabled intelligentIoT and …
… , the Internet-of-Things (IoT) technology is being used in many application areas such as healthcare, video surveillance, transportation etc. The massive adoption and growth of IoT … deep …
PK Kashyap, S Kumar, A Jaiswal, M Prasad… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
… Due to the limited learning ability of these models, they are not well suited to unpredictable … a deeplearning neural network-based InternetofThings (IoT)-enabled intelligent irrigation …