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http://lrcdrs.bennett.edu.in:80/handle/123456789/1270| Title: | An energy efficient scheme for wpcn-noma based device-to-device communication |
| Authors: | Ishan Budhiraja |
| Keywords: | Artificial Intelligence, Automated Validation, Deep Learning, Machine Learning, Test Automation, Traffic Automation |
| Issue Date: | 2021 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Abstract: | Nowadays using technology, the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML). Autonomous vehicles will become a reality on our roads shortly. However, driver requires technical solutions for a range of issues. It's anything but a magnificent commitment to the auto business, which is going towards development and monetary development. Assume we are discussing some previous decade. All things considered, the energy of new examination and the world is currently at the exceptionally progressed phase of the mechanical transformation: We will fabricate a profound neural organization model that can characterize traffic signs present in the picture into various classifications. This model we have tried and brought about 90% precision. © 2021 IEEE. |
| URI: | https://doi.org/10.1109/ICAC3N53548.2021.9725677 http://lrcdrs.bennett.edu.in:80/handle/123456789/1270 |
| Appears in Collections: | Journal Articles_SCSET |
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| File | Size | Format | |
|---|---|---|---|
| 12.pdf Restricted Access | 1.73 MB | Adobe PDF | View/Open Request a copy |
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