Receiver techniques for diffusion-based molecular nano communications using an adaptive neuro-fuzzy-based multivariate polynomial approximation

GH Alshammri, WKM Ahmed… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Molecular communication (MC) nanonetworks, the interconnection of biological
nanomachines (Bio-NMs), are envisaged to significantly expand the applications of nano …

Adaptive batch training rule-based detection scheme for on-off-keying diffusion-based molecular communications

GH Alshammri, WKM Ahmed… - 2018 IEEE 13th …, 2018 - ieeexplore.ieee.org
This paper proposes an artificial neural network (ANN) technique, using an adaptive batch
training rule-based principle with weight and bias, to estimate and predict the adaptive …

Sequential training-based receiver for On-OFF-keying diffusion-based molecular communications

GH Alshammri, WKM Ahmed… - 2018 IEEE 18th …, 2018 - ieeexplore.ieee.org
In this paper, we purpose and investigate an integrated artificial neural networks (ANNs) to
estimate and predict the adaptive threshold detection scheme in diffusion-based molecular …

ARFIS: Adaptive-Receiver-Based Fuzzy Inference System for Diffusion-Based Molecular Communications

GH Alshammri, WKM Ahmed… - Current …, 2020 - ingentaconnect.com
Background: The architecture and sequential learning rule-based underlying ARFIS
(adaptive-receiver-based fuzzy inference system) are proposed to estimate and predict the …