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BOMIN MAO
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Name
Affiliation
Papers
BOMIN MAO
Tohoku Univ, GSIS, Sendai, Miyagi, Japan
26
Collaborators
Citations
PageRank
25
265
13.95
Referers
Referees
References
843
609
193
Search Limit
100
843
Publications (26 rows)
Collaborators (25 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Countering Large-Scale Drone Swarm Attack by Efficient Splitting
0
0.34
2022
Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane
0
0.34
2022
AI Models for Green Communications Towards 6G
4
0.36
2022
Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach
11
0.49
2021
An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems
6
0.43
2021
Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G: Vision, Proposal, and Future Directions
1
0.36
2021
Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption
4
0.36
2021
Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges
14
0.54
2021
Ten Challenges in Advancing Machine Learning Technologies toward 6G
23
0.65
2020
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things
13
0.52
2020
Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks.
2
0.36
2019
On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs
2
0.36
2019
An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios
0
0.34
2019
Multilayer Virtual Cell-Based Resource Allocation In Low-Power Wide-Area Networks
0
0.34
2019
An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach.
9
0.49
2018
On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control.
17
0.76
2018
On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach.
4
0.40
2018
Deep Spatiotemporal Partially Overlapping Channel Allocation - Joint CNN and Activity Vector Approach.
0
0.34
2018
A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks.
9
0.45
2018
On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT.
5
0.48
2018
A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks.
6
0.45
2018
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence.
30
0.81
2018
A Tensor Based Deep Learning Technique for Intelligent Packet Routing.
0
0.34
2017
The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective.
25
0.94
2017
Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning.
27
1.11
2017
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems.
53
1.60
2017
1