Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

This work has investigated the feasibility of applying inverse distance weight (IDW), ordinary
kriging (OK) and K-nearest neighbour (K-NN) interpolation to capture the three dimensional …

This work has investigated the feasibility of using cluster ordinary kriging (OK) interpolation
to speed up indoor three-dimensional (3D) radio environment map (REM) generation time …

In this paper, an alternative to the traditional methodology related to signal processing-like
subjects is proposed. These are subjects that require a deep mathematical and theoretical …

Cognitive radio is proposed for efficient utilization of radio spectrum using dynamic spectrum
allocation. Most of the spectrum sensing algorithms for cognitive radio are based on some …

Enhanced throughput under efficient dynamic spectrum access is possible by secondary
access based cognitive radio networking in TV white space (TVWS). The current generation …

This paper addresses spectrum sensing (SS) in a Cognitive Radio Ad Hoc Network
(CRAHN). The interconnections of the nodes are formed on Dynamic Spectrum Access …

We present a high‐order solver for simulating vortex‐induced vibrations (VIVs) at very
challenging situations, for example, VIVs of a row of very closely placed objects with large …

In this paper, we analyze the energy efficiency (EE) of uplink and downlink non-orthogonal
multiple access (NOMA) channels with successive interference cancellation under Gaussian …

This paper generalizes and proves the discrete and finite nature of the capacity-achieving
signaling schemes for general classes of non-Gaussian point-to-point and multiple-access …