Measurement of Construction Materials Properties Using Wi-Fi and Convolutional Neural Networks
The process of identifying the physical properties of raw construction materials is vital in several industrial and quality assurance applications. Ideally, this process needs to be performed without damaging the sample and at low-cost, while obtaining high-accurate results. In this work, a novel no...
Saved in:
| Main Author: | Gacem, Mohamed A. (author) |
|---|---|
| Other Authors: | Zakaria, Amer S. (author), Ismail, Mahmoud H. (author), Tariq, Usman (author), Yehia, Sherif (author) |
| Format: | article |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/11073/32567 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks
by: Gacem, Mohamed Ait
Published: (2021) -
An investigation of the different risks associated with: The public Wi-Fi and Hotspots
by: ALMARRI, ASMA JAMAL
Published: (2019) -
Optimal Group Formation in Dense Wi-Fi Direct Networks for Content Distribution
by: Muhammad Asif Khan (7367468)
Published: (2019) -
WiMAX Models for the Smart Grid
by: Al-Omar, Ban Abdul Elah
Published: (2014) -
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
by: Maricar, Mohammed Farook
Published: (2023)