2 天前 - … Deep Learning-based intrusion detection technique (EHID) based on embedded
hybrid deep learning that … Wireless sensor network-based intrusion detection technique using …

3 天前 - … channels (such as the Internet and wireless networks), which can lead to … deep
learning model Semantic and Transformer-based Trajectory Generative Adversarial Networks (…

3 天前 - … To solve above gathered problems, we introduce an optimal interference mitigation
scheme for WBAN using deep learning-based channel access method (OIM-DLCAM). The …

3 天前 - … quality of wireless … deep learning techniques to improve the precision of intrusion
detection in V2X such as Convolution neural networks (CNN), Recurrent neural networks …

4 天前 - … wireless powered MEC-assisted energy-sensitive IoT systems. The system integrates
wireless … , we propose an enhanced deep reinforcement learning (DRL) algorithm. First, …

4 天前 - … in many applications, especially in wireless security issues. Currently, deep learning
(DL)-… The AMR method based on deep learning utilizes a deep neural network model to …

4 天前 - … method utilizing UHF-RFID and deep learning within an edge computing environment,
specifically targeting the currently suboptimal wireless monitoring of cables. First, based …

4 天前 - … are critical in regional wireless networks. Using reconfig… , we propose a triple deep
q-network (TDQN) algorithm, … UAV and prune the deep reinforcement learning (DRL) state …

5 天前 - … We consider the problem of wireless image transmission over an AWGN channel,1 …
Juang, “Deep learning enabled semantic communication systems,” IEEE Transactions …

5 天前 - … propagation in the wireless network with accuracy depending on the design of the
network. The … a DL method that can effectively achieve this goal and show how deep learning …