Memristive hyperchaotic system-based complex-valued artificial neural synchronization for secured communication in Industrial Internet of Things

MZ Khan, A Sarkar, A Noorwali - Engineering Applications of Artificial …, 2023 - Elsevier
In this article, a memristive hyperchaotic system-based complex-valued Artificial Neural
Network (ANN) synchronization for secured communication between Industrial Internet of …

Energy conservation in WSN: A review of current techniques

A Kumar, P Dadheech… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
WSN is defined as the group of sensor nodes which has the ability to sense various
environmental parameters. It has limitation in ranges. The sensor nodes present in the …

Detection and classification of Covid-19 in CT-lungs screening using machine learning techniques

OR Shahin, RM Abd El-Aziz… - Journal of Interdisciplinary …, 2022 - Taylor & Francis
In this study, machine learning is used to detect coronavirus in CT-lung screening. This virus
causes serious acute respiratory illness and is very contagious. The WHO has confirmed 19 …

FOCOMO: Forecasting and monitoring the worldwide spread of COVID-19 using machine learning methods

P Agrawal, V Madaan, A Roy, R Kumari… - Journal of …, 2021 - Taylor & Francis
More than 185 countries get affected in the present SARS-COV-2 (aka COVID-19 or n-
Corona virus) epidemic. Experts from different domains are contributing a lot to combat this …

Analysis of outage performance in a 6G‐V2X communications system utilising free‐space optical quantum key distribution

H Yuan, DS Fowler, C Maple… - IET Quantum …, 2023 - Wiley Online Library
Quantum‐based technologies will provide system engineers with new capabilities for
securing data communications. The UK AirQKD project has implemented a Free‐Space …

Neural session key exchange in the Industrial Internet of Things using hyperchaotic-guided vector-valued artificial neural synchronization

T Hai, A Sarkar, R Karmakar, MZ Khan, A Noor… - … Applications of Artificial …, 2023 - Elsevier
Abstract The Industrial Internet of Things'(IIoT) ongoing growth has provided engineers with
a wealth of prospects for improving machine throughput. Due to advancement, owing to the …

Optimized color image watermarking through watermark strength optimization using particle swarm optimization technique

P Garg, RR Kishore - Journal of Information and Optimization …, 2020 - Taylor & Francis
Digital Watermarking is a technique in which some presume content like image or data is
embedded in any cover content in a way such that the quality of the digital content should …

Entanglement enhancement and EPR steering based on a PT-symmetric-like cavity-opto-magnomechanical hybrid system

YX Luo, LJ Cong, ZG Zheng, HY Liu, Y Ming… - Optics …, 2023 - opg.optica.org
We investigate the enhancement of entanglement and EPR steering in a parity-time (PT-)
symmetric-like cavity-opto-magnomechanical system. The system consists of an optical …

An ensemble feature reduction method for web-attack detection

D Kshirsagar, S Kumar - Journal of Discrete Mathematical …, 2020 - Taylor & Francis
There are a large number of features present in benchmark datasets that are used to test
and evaluate intrusion detection systems. However, these high dimensional datasets require …

Cybersecurity infrastructure challenges in IoT based virtual power plants

SK Venkatachary, J Prasad, R Samikannu… - Journal of Statistics …, 2020 - Taylor & Francis
Energy fuels industries and economy of a country and the demand for energy has increased
rapidly in the recent past. Thanks to ICT driven technologies. The energy sector has …