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E-marketing, e-commerce, e-business, and internet of things: an overview of terms in the context of small and medium enterprises (SMEs)
SA Khan - Global applications of the internet of things in digital …, 2023 - igi-global.com
Small and medium enterprises (SMEs) are often considered an economic engine. The
digital boom that has happened in the recent years offers a variety of tools to these SMEs to …
digital boom that has happened in the recent years offers a variety of tools to these SMEs to …
Com-DDPG: Task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …
computation-intensive and time-sensitive related services for data processing and …
SSUR: an approach to optimizing virtual machine allocation strategy based on user requirements for cloud data center
Y Huang, H Xu, H Gao, X Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cloud data centers provide services for an increasing number of applications. The virtual
machines (VMs) that perform the corresponding application tasks need to be allocated to …
machines (VMs) that perform the corresponding application tasks need to be allocated to …
QoS prediction for service recommendation with features learning in mobile edge computing environment
In recent years, deep neural networks have achieved exciting results in a variety of tasks,
and many fields try to introduce neural network techniques. In mobile edge computing, there …
and many fields try to introduce neural network techniques. In mobile edge computing, there …
Convolutional Neural Networks for forecasting flood process in Internet-of-Things enabled smart city
With the advancement of water conservancy informatization based on Internet of Things
(IoT), the hydrological data are increasingly enriched. As a result, more and more algorithms …
(IoT), the hydrological data are increasingly enriched. As a result, more and more algorithms …
Swarm Differential Privacy for Purpose‐Driven Data‐Information‐Knowledge‐Wisdom Architecture
Privacy protection has recently been in the spotlight of attention to both academia and
industry. Society protects individual data privacy through complex legal frameworks. The …
industry. Society protects individual data privacy through complex legal frameworks. The …
A homomorphic-encryption-based vertical federated learning scheme for rick management
W Ou, J Zeng, Z Guo, W Yan, D Liu… - Computer Science and …, 2020 - doiserbia.nb.rs
With continuous improvements of computing power, great progresses in algorithms and
massive growth of data, artificial intelligence technologies have entered the third rapid …
massive growth of data, artificial intelligence technologies have entered the third rapid …
Deep Learning‐Based Security Behaviour Analysis in IoT Environments: A Survey
Internet of Things (IoT) applications have been used in a wide variety of domains ranging
from smart home, healthcare, smart energy, and Industrial 4.0. While IoT brings a number of …
from smart home, healthcare, smart energy, and Industrial 4.0. While IoT brings a number of …
A low-latency and energy-efficient multimetric routing protocol based on network connectivity in vanet communication
X Wang, Y Weng, H Gao - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
Intelligent transportation systems (ITSs) are important applications of 5G mobile
communication technology. Vehicular ad hoc networks (VANETs) are key part of intelligent …
communication technology. Vehicular ad hoc networks (VANETs) are key part of intelligent …
Air quality prediction based on a spatiotemporal attention mechanism
X Zou, J Zhao, D Zhao, B Sun, Y He… - Mobile Information …, 2021 - Wiley Online Library
With the rapid development of the Internet of Things and Big Data, smart cities have received
increasing attention. Predicting air quality accurately and efficiently is an important part of …
increasing attention. Predicting air quality accurately and efficiently is an important part of …