A novel system architecture for brain controlled IoT enabled environments-Reference-Cited by-同舟云学术

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A novel system architecture for brain controlled IoT enabled environments

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom)
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Author:

Jagadish B.,Kiran M. P. R. S.,Rajalakshmi P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8169616/8210752/08210814.pdf?arnumber=8210814

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-Efficient Deep Neural Networks for EEG Signal Noise Reduction in Next-Generation Green Wireless Networks and Industrial IoT Applications;Symmetry;2023-11-30

2. Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning;Big Data;2023-08-01

3. Low-Cost Brain-Computer Interface Design Using Deep Learning for Internet of Brain Controlled Things Applications;2022 International Conference on Computational Science and Computational Intelligence (CSCI);2022-12

4. Evaluating the performance and energy of STT-RAM caches for real-world wearable workloads;Future Generation Computer Systems;2022-11

5. Evolution and Adoption of Next Generation IoT-Driven Health Care 4.0 Systems;Wireless Personal Communications;2022-07-20

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