Tsmae: a novel anomaly detection approach for internet of things time series data using memory-augmented autoencoder
With the development of communication, the Internet of Things (IoT) has been widely
deployed and used in industrial manufacturing, intelligent transportation, and healthcare …
deployed and used in industrial manufacturing, intelligent transportation, and healthcare …
An edge traffic flow detection scheme based on deep learning in an intelligent transportation system
An intelligent transportation system (ITS) plays an important role in public transport
management, security and other issues. Traffic flow detection is an important part of the ITS …
management, security and other issues. Traffic flow detection is an important part of the ITS …
Clustering for smart cities in the internet of things: a review
Nowadays, internet of things (IoT) applications, especially in smart cities, are fast
develo**. Clustering is a promising solution for handling IoT issues such as energy …
develo**. Clustering is a promising solution for handling IoT issues such as energy …
V2VR: reliable hybrid-network-oriented V2V data transmission and routing considering RSUs and connectivity probability
H Gao, C Liu, Y Li, X Yang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) have been widely used in intelligent transportation
systems (ITSs) for purposes such as the control of unmanned aerial vehicles (UAVs) and …
systems (ITSs) for purposes such as the control of unmanned aerial vehicles (UAVs) and …
The cloud-edge-based dynamic reconfiguration to service workflow for mobile ecommerce environments: a QoS prediction perspective
H Gao, W Huang, Y Duan - ACM Transactions on Internet Technology …, 2021 - dl.acm.org
The emergence of mobile service composition meets the current needs for real-time
eCommerce. However, the requirements for eCommerce, such as safety and timeliness, are …
eCommerce. However, the requirements for eCommerce, such as safety and timeliness, are …
Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
A double-space and double-norm ensembled latent factor model for highly accurate web service QoS prediction
Quality-of-Service (QoS), which describes the non-functional characteristics of Web service,
is of great significance in service selection. Since users cannot invoke all services to obtain …
is of great significance in service selection. Since users cannot invoke all services to obtain …
A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation
With the advancement of web 2.0 and the development of the Internet of Things (IoT), all
tasks can be handled with the help of handheld devices. Web APIs or web services are …
tasks can be handled with the help of handheld devices. Web APIs or web services are …
Mobility based trust evaluation for heterogeneous electric vehicles network in smart cities
Smart cities can manage assets and resources efficiently by using different types of
electronic data collection sensors, devices and vehicles. However, growing complexity of …
electronic data collection sensors, devices and vehicles. However, growing complexity of …
Feature extraction and analysis of natural language processing for deep learning English language
D Wang, J Su, H Yu - IEEE Access, 2020 - ieeexplore.ieee.org
NLP (Natural Language Processing) is a technology that enables computers to understand
human languages. Deep-level grammatical and semantic analysis usually uses words as …
human languages. Deep-level grammatical and semantic analysis usually uses words as …