… There are 32 layers in the principal network, 10 layers in the head network for fast response,
and 22 layers in the tail network structure for better performance. We design the network …

… system is designed to ensure the cognitive radio (CR) networks … The proposed network model
consists of N u near users, N f … In this network CDRT over B is implemented in both the time …

… and Deep Learning Design of Underlay Cognitive NOMA-Based CDRT Networks With …
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer ...... W…

… model and Artificial Neural Network, and later we built a machine learning method by creating
a prediction formula. Then, chapter 5 shows the clustering models designed to define the …

… -based overlay network (… design criteria of high energy-and-spectrum efficiencies. By
summarizing all the above-mentioned technical challenges of designing modern wireless networks, …

… design. Furthermore, the authors also identify key challenges and open issues for future
research. … used in real customer network (CDRT — Continuous Delivery Regression Test). …

… framework on streaming data, which is a neural network composed of a generative network,
… and incremental learning for MIS-ELM’s classifier. In other words, we design the data in w 0 …

… of the DNN model in [26], called a deep multi-output neural network, was designed to … • To
develop real-time system configurations for IoT networks, we design various state-of-the-art ML…

… where we define a separate network for each object type in the level and “flows” represent
… within our framework to ease the burden of designers. Further research is needed to model …

… Considering network dynamics and problem complexity, we design an intelligent joint HAP
control and resource allocation scheme based on a deep reinforcement learning algorithm. …