43 天前 - … by combining physical mechanisms of petrophysical models and deep neural network.
The … and the standard DNN lies in the feature extraction layer and fully connected layer. …

44 天前 - … Deep learning excels in advanced inference tasks using electronic neural
networks (… (a) The physical layer is divided into continuous equal-sized holes, each of which …

44 天前 - … -based attacks directly from the physical layer. Empirical observations demonstrate
that … The selection of each deep learning component in this research was strategically made …

45 天前 - High-fidelity models (HFMs) of physical phenomena are frequently expressed using
partial differential equations which require expensive and complex numerical methods for …

45 天前 - … A novel hardware fingerprint physical layer authentication (PLA) model [27] in
optical fiber networks using the anomaly detection algorithm is proposed. The spectrum is used …

45 天前 - … Exploiting this observation, several studies have utilized deep learning techniques
to detect anomalies at the frame-level by monitoring changes in message frequency or …

46 天前 - … [10], were the first to use deep learning to estimate parameters and restore clear
images through ASM. Liu et al. [16] proposed GridDehazeNet, which includes a preprocessing …

49 天前 - … hardware, and a multi-task deep learning framework. The hardware component
breaks … out physical layer information. By analyzing open headers of physical layer protocols, …

49 天前 - … With the increasing number of parameters in foundation model and the increasing
complexity of deep learning algorithms, the demand for computing power in foundation …

49 天前 - … This thesis contributes to the advancement of deep learning-based techniques
for physical layer wireless communication systems, addressing practical challenges and …