The rapid progress of artificial intelligence has propelled Deep Learning (DL) to the forefront as a transformative method for addressing existing challenges17. DL utilizes complex multilayer structures of Neural Networks (NNs) to extract features at multiple scales and depths, enhancing accuracy and ef...
The rapid progress of artificial intelligence has propelled Deep Learning (DL) to the forefront as a transformative method for addressing existing challenges17. DL utilizes complex multilayer structures of Neural Networks (NNs) to extract features at multiple scales and depths, enhancing accuracy and ef...
Advances of deep learning applications in ground-penetrating radar: A survey. Constr. Build. Mater. 2020, 258, 120371. [Google Scholar] [CrossRef] Chang, C.; Lin, C.; Lien, H.S. Measurement radius of reinforcing steel bar in concrete using digital image GPR. Constr. Build. Mater. ...
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research ...
(B) (a) Illustrates a meta-atom composed of dual silicon (Si) posts. These are placed on opposing sides of the Si spacer. Because of its inhomogeneous structure, the remaining portions of the meta-atom can aid in accumulating sufficient transmission phases. FDTD simulated results, (b) ...
The values derived from the exact method are slightly different. Moreover, the MALNS method calculation requires less processing time than the exact method, amounting to approximately 99.95% of the time required for the exact method. In this case study, the MALNS algorithm result shows a suitable...