Intelligent edge computing based on machine learning for smart city

Toward an Intelligent Edge: Wireless Communication Meets Machine Learning

(2020) Guangxu Zhu et al.   IEEE COMMUNICATIONS MAGAZINE

Deep belief network and linear perceptron based cognitive computing for collaborative robots

(2020) Zhihan Lv et al.   APPLIED SOFT COMPUTING

Analysis of healthcare big data

(2020) Zhihan Lv et al.   Future Generation Computer Systems-The International Journal of eScience

Solving the Security Problem of Intelligent Transportation System With Deep Learning

(2020) Zhihan Lv et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities

(2019) Yi Liu et al.   IEEE NETWORK

Intelligent Offloading in Multi-Access Edge Computing: A State-of-the-Art Review and Framework

(2019) Bin Cao et al.   IEEE COMMUNICATIONS MAGAZINE

Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond

(2019) Yueyue Dai et al.   IEEE NETWORK

Enforcing Position-Based Confidentiality With Machine Learning Paradigm Through Mobile Edge Computing in Real-Time Industrial Informatics

(2019) Arun Kumar Sangaiah et al.   IEEE Transactions on Industrial Informatics

Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles

(2019) Yueyue Dai et al.   IEEE WIRELESS COMMUNICATIONS

Design of personnel big data management system based on blockchain

(2019) Jian Chen et al.   Future Generation Computer Systems-The International Journal of eScience

Edge cognitive computing based smart healthcare system

(2018) Min Chen et al.   Future Generation Computer Systems-The International Journal of eScience

Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

(2018) Abebe Abeshu et al.   IEEE COMMUNICATIONS MAGAZINE

Edge computing for the internet of things

(2018) Ju Ren et al.   IEEE NETWORK

ThriftyEdge: Resource-Efficient Edge Computing for Intelligent IoT Applications

(2018) Xu Chen et al.   IEEE NETWORK

Distributed and Efficient Object Detection in Edge Computing: Challenges and Solutions

(2018) Ju Ren et al.   IEEE NETWORK

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

(2018) He Li et al.   IEEE NETWORK

A scalable distributed machine learning approach for attack detection in edge computing environments

(2018) Rafał Kozik et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks

(2018) Mirza Golam Kibria et al.   IEEE Access

Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

(2018) Baotong Chen et al.   IEEE Access

Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing

(2018) Zhenyu Zhou et al.   IEEE NETWORK

iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

(2018) Long Hu et al.   Future Generation Computer Systems-The International Journal of eScience

Bringing Deep Learning at the Edge of Information-Centric Internet of Things

(2018) Hakima Khelifi et al.   IEEE COMMUNICATIONS LETTERS

Intelligence in IoT-Based 5G Networks: Opportunities and Challenges

(2018) Nadeem Javaid et al.   IEEE COMMUNICATIONS MAGAZINE

Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

(2017) Ying He et al.   IEEE COMMUNICATIONS MAGAZINE

Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

(2017) Bomin Mao et al.   IEEE TRANSACTIONS ON COMPUTERS

Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities

(2017) Bo Tang et al.   IEEE Transactions on Industrial Informatics

IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things.

(2017) Arslan Munir et al.   IEEE Consumer Electronics Magazine

An overview of Fog computing and its security issues

(2015) Ivan Stojmenovic et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE