Search Results - "Bomin Mao"

Refine Results
  1. 1

    Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption by Tang, Fengxiao, Mao, Bomin, Kawamoto, Yuichi, Kato, Nei

    Published in IEEE Communications surveys and tutorials (01-01-2021)
    “…The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite important for network optimization. The current 5G and conceived 6G…”
    Get full text
    Journal Article
  2. 2

    Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges by Tang, Fengxiao, Mao, Bomin, Kato, Nei, Gui, Guan

    Published in IEEE Communications surveys and tutorials (01-01-2021)
    “…Towards future intelligent vehicular network, the machine learning as the promising artificial intelligence tool is widely researched to intelligentize…”
    Get full text
    Journal Article
  3. 3

    Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach by Mao, Bomin, Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei

    Published in IEEE network (01-07-2021)
    “…Satellite networks can provide Internet of Things (IoT) devices in remote areas with seamless coverage and downlink multicast transmissions. However, the large…”
    Get full text
    Journal Article
  4. 4

    State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems by Fadlullah, Zubair Md, Fengxiao Tang, Bomin Mao, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

    Published in IEEE Communications surveys and tutorials (01-01-2017)
    “…Currently, the network traffic control systems are mainly composed of the Internet core and wired/wireless heterogeneous backbone networks. Recently, these…”
    Get full text
    Journal Article
  5. 5

    AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things by Mao, Bomin, Kawamoto, Yuichi, Kato, Nei

    Published in IEEE internet of things journal (01-08-2020)
    “…The data privacy and confidentiality in Internet-of-Things (IoT) networks have been one of the most concerned problems due to increasing threats. The commonly…”
    Get full text
    Journal Article
  6. 6

    Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence by Kato, Nei, Fadlullah, Zubair Md, Tang, Fengxiao, Mao, Bomin, Tani, Shigenori, Okamura, Atsushi, Liu, Jiajia

    Published in IEEE wireless communications (01-08-2019)
    “…It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality…”
    Get full text
    Journal Article
  7. 7

    The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective by Kato, Nei, Fadlullah, Zubair Md, Mao, Bomin, Tang, Fengxiao, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

    Published in IEEE wireless communications (01-06-2017)
    “…Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the…”
    Get full text
    Journal Article
  8. 8

    Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning by Bomin Mao, Fadlullah, Zubair Md, Fengxiao Tang, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

    Published in IEEE transactions on computers (01-11-2017)
    “…Recent years, Software Defined Routers (SDRs) (programmable routers) have emerged as a viable solution to provide a cost-effective packet processing platform…”
    Get full text
    Journal Article
  9. 9

    On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control by Fengxiao Tang, Bomin Mao, Fadlullah, Zubair Md, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

    Published in IEEE wireless communications (01-02-2018)
    “…Recently, deep learning has appeared as a breakthrough machine learning technique for various areas in computer science as well as other disciplines. However,…”
    Get full text
    Journal Article
  10. 10

    Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks by Mao, Bomin, Kawamoto, Yuichi, Liu, Jiajia, Kato, Nei

    Published in IEEE communications letters (01-11-2019)
    “…IEEE 802.15.4 protocol defines multiple security specifications to provide different levels of safety protection in the link layer. How to choose the security…”
    Get full text
    Journal Article
  11. 11

    An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach by Tang, Fengxiao, Fadlullah, Zubair Md, Mao, Bomin, Kato, Nei

    Published in IEEE internet of things journal (01-12-2018)
    “…Due to the fast increase of sensing data and quick response requirement in the Internet of Things (IoT) delivery network, the high speed transmission has…”
    Get full text
    Journal Article
  12. 12

    Intelligent Reflecting Surface in 6G Vehicular Communications: A Survey by Zhu, Yishi, Mao, Bomin, Kato, Nei

    “…The applications of Intelligent Transportation System (ITS) and autonomous driving in the 6G era heavily rely on the massive information exchange of ultra-wide…”
    Get full text
    Journal Article
  13. 13

    Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms by Fadlullah, Zubair Md, Mao, Bomin, Tang, Fengxiao, Kato, Nei

    Published in IEEE transactions on computers (01-06-2019)
    “…Recently, the rapid advancement of high computing platforms has accelerated the development and applications of artificial intelligence techniques. Deep…”
    Get full text
    Journal Article
  14. 14

    On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach by Md. Fadlullah, Zubair, Tang, Fengxiao, Mao, Bomin, Liu, Jiajia, Kato, Nei

    Published in IEEE communications letters (01-12-2018)
    “…Recently, deep learning has emerged as an attractive technique to intelligently control network traffic. However, the contemporary researches only focused on…”
    Get full text
    Journal Article
  15. 15

    An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks by Wei, Zixiang, Mao, Bomin, Guo, Hongzhi, Xun, Yijie, Liu, Jiajia, Kato, Nei

    “…The developments of communication technologies, Internet of Things (IoT), and Artificial Intelligence (AI) have significantly accelerated the advancement of…”
    Get full text
    Journal Article
  16. 16

    Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach by Zou, Wei, Mao, Bomin, Fadlullah, Zubair Md, Qi, Kun

    Published in IEEE access (2022)
    “…The etiology of Temporomandibular disorders (TMD) is still unclear, and its symptoms, signs and progression are extremely complex. TMD require early diagnosis…”
    Get full text
    Journal Article
  17. 17

    ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System by Tang, Fengxiao, Mao, Bomin, Fadlullah, Zubair Md, Liu, Jiajia, Kato, Nei

    Published in IEEE transactions on sustainable computing (01-10-2020)
    “…Deep learning has emerged as a popular Artificial Intelligence (AI) technique to make conventional cyber physical systems become intelligent and sustainable…”
    Get full text
    Journal Article
  18. 18

    Ten Challenges in Advancing Machine Learning Technologies toward 6G by Kato, Nei, Mao, Bomin, Tang, Fengxiao, Kawamoto, Yuichi, Liu, Jiajia

    Published in IEEE wireless communications (01-06-2020)
    “…As the 5G standard is being completed, academia and industry have begun to consider a more developed cellular communication technique, 6G, which is expected to…”
    Get full text
    Journal Article
  19. 19

    On a Novel High Accuracy Positioning With Intelligent Reflecting Surface and Unscented Kalman Filter for Intelligent Transportation Systems in B5G by Zhu, Yishi, Mao, Bomin, Kato, Nei

    “…High accuracy and simultaneous positioning is an essential demand in future Intelligent Transportation Systems (ITS), while the mobility and dynamics of…”
    Get full text
    Journal Article
  20. 20

    Security and Privacy on 6G Network Edge: A Survey by Mao, Bomin, Liu, Jiajia, Wu, Yingying, Kato, Nei

    Published in IEEE Communications surveys and tutorials (01-01-2023)
    “…To meet the stringent service requirements of 6G applications such as immersive cloud eXtended Reality (XR), holographic communication, and digital twin, there…”
    Get full text
    Journal Article