A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones

A Heidari, NJ Navimipour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

Toward trustworthy and privacy-preserving federated deep learning service framework for industrial internet of things

N Bugshan, I Khalil, MS Rahman… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this article, we propose a trustworthy privacy-preserving federated learning (FL)-based
deep learning (DL) service framework for Industrial Internet of Things-enabled systems. FL …

Blockchain-enabled and multisignature-powered verifiable model for securing federated learning systems

AP Kalapaaking, I Khalil… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is revolutionizing numerous industrial applications by employing
smart devices in manufacturing and industrial processes. Industries based on IoT generate …

A novel hybrid image processing‐based reconfiguration with RBF neural network MPPT approach for improving global maximum power and effective tracking of PV …

CV Rao, RDA Raj, K Anil Naik - International Journal of Circuit …, 2023 - Wiley Online Library
The solar photovoltaic (PV) array output is reduced significantly by the frequently occurring
inevitable partial shading conditions. In consequence, the array exhibits multiple peaks in its …

Preface of special issue on Artificial Intelligence: The security & privacy opportunities and challenges for emerging applications

Q Liu, G Wang, J Hu, J Wu - Future Generation Computer Systems, 2022 - Elsevier
With the increasing awareness of data security in emerging applications, Artificial
Intelligence (AI)-enabled security mechanism has begun to receive growing attention. This …

Small dataset augmentation with radial basis function approximation for causal discovery using constraint‐based method

CY Jung, Y Jang - ETRI Journal, 2024 - Wiley Online Library
Causal analysis involves analysis and discovery. We consider causal discovery, which
implies learning and discovering causal structures from available data, owing to the …

Comparison of non-linear time series models (Beta-t-EGARCH and NARMAX models) with Radial Basis Function Neural Network using Real Data

H Abdullah, NA Noori - Iraqi Journal For Computer Science and …, 2024 - journal.esj.edu.iq
This paper presents a comparison of three different non-linear time series modelling
approaches: NARMAX (Non-linear Autoregressive Moving Average with Exogenous Inputs) …

Improved clustering algorithm for personal privacy and security protection of elderly consumers

P Jiang - … Journal for Simulation and Multidisciplinary Design …, 2023 - ijsmdo.org
With the advancement of technology, there is an increasing emphasis on the personal
privacy and security of elderly consumers. This article focuses on the personal privacy and …

A Hybrid Of Capsule and Dense Neural Networks with backward Regression model for Coffee leaf disease identification

J Jepkoech - 2023 - repository.embuni.ac.ke
Diseases that affect coffee have serious repercussions for policymakers, seed industries,
farmers, and consumers. Over the years, farmers have had to travel long distances …