… a secure wireless sensor network middleware (… learning technique called Generative
Adversarial Network (GAN) algorithm. SWSNM consists of two networks: a generator (G) network …

… In this paper, we propose a deep learning–based scheme for … deep learning technique, a
DNN is trained to learn the map… that deep learning–based schemes can optimize networks and …

… convolutional neural network. The proposed deep learning architecture is developed by
combining the convolutional neural network, dense network, and long short-term memory …

… network may drop by more than 60% if a WiFi network coexists [9], [10]. This paper proposes
DeepJam, a new deep learning-… CTI in the complex wireless environment. We illustrate the …

… system: In addition to using deep learning to learn the function of a certain … wireless
communication systems based on deep learning [41]–[45]. These works used a deep neural network …

… a crucial issue in future wireless networks. This paper investigates a deep learning (DL) …
To tackle these issues, we propose a deep neural network (DNN) where the procedure of …

… deep learning in many main fields has achieved several milestones, but the black box aspect
of deep learning … every black box in the deep learning networks that have been introduced. …

… We provide a comprehensive survey of the state-of-the-art research on wireless sensing for
… future wireless sensing scenarios. We also discuss some open research issues in wireless …

… deep learning-based intrusion detection system for wireless IoT networks using a Convolutional
Neural Network (… used in the deep learning network. Instead of a fully connected neural …

… , where he is the Network and Information Systems Technical Area … deep learning for
wireless networks and computer vision. He has extensive handson experience with deep learning …