A review of intrusion detection systems in RPL routing protocol based on machine learning for internet of things applications

A Seyfollahi, A Ghaffari - Wireless Communications and Mobile …, 2021 - Wiley Online Library
IPv6 routing protocol for low‐power and lossy networks (RPL) has been developed as a
routing agent in low‐power and lossy networks (LLN), where nodes' resource constraint …

A study on ai‐based waste management strategies for the covid‐19 pandemic

S Rubab, MM Khan, F Uddin… - ChemBioEng …, 2022 - Wiley Online Library
COVID‐19 has swept across the globe and disrupted all vectors of social life. Every informed
measure must be taken to stop its spread, bring down number of new infections and move to …

Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems

H Zhang, T Liu, X Ye, AA Heidari, G Liang… - Engineering with …, 2023 - Springer
There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its
simple framework, it has been widely used in many fields. But when handling some …

Green scheduling of distributed two-stage reentrant hybrid flow shop considering distributed energy resources and energy storage system

J Dong, C Ye - Computers & Industrial Engineering, 2022 - Elsevier
In order to build a green manufacturing model and realize energy conservation and
emission reduction, we establish a distributed two-stage reentrant hybrid flow shop bi-level …

PSOWNNs‐CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods

A Nomani, Y Ansari, MH Nasirpour… - Computational …, 2022 - Wiley Online Library
Early diagnosis of breast cancer is an important component of breast cancer therapy. A
variety of diagnostic platforms can provide valuable information regarding breast cancer …

An analysis of strategies for adopting blockchain technology in the after-sales service supply chain

A Ullah, M Ayat, Y He, B Lev - Computers & Industrial Engineering, 2023 - Elsevier
In this paper, we explore strategies for implementing blockchain technology in a supply
chain where a manufacturer outsources base warranty (BW) repairs to a retailer and the …

A Hybrid SSA and SMA with Mutation Opposition‐Based Learning for Constrained Engineering Problems

S Wang, Q Liu, Y Liu, H Jia, L Abualigah… - Computational …, 2021 - Wiley Online Library
Based on Salp Swarm Algorithm (SSA) and Slime Mould Algorithm (SMA), a novel hybrid
optimization algorithm, named Hybrid Slime Mould Salp Swarm Algorithm (HSMSSA), is …

Presentation of a segmentation method for a diabetic retinopathy patient's fundus region detection using a convolutional neural network

A Valizadeh, S Jafarzadeh Ghoushchi… - Computational …, 2021 - Wiley Online Library
Diabetic retinopathy is characteristic of a local distribution that involves early‐stage risk
factors and can forecast the evolution of the illness or morphological lesions related to the …

FDCNet: Presentation of the fuzzy CNN and fractal feature extraction for detection and classification of tumors

S Molaei, N Ghorbani, F Dashtiahangar… - Computational …, 2022 - Wiley Online Library
The detection of brain tumors using magnetic resonance imaging is currently one of the
biggest challenges in artificial intelligence and medical engineering. It is important to identify …

A discrete teaching–learning based optimization algorithm with local search for rescue task allocation and scheduling

Y Xu, X Li, Q Li - Applied Soft Computing, 2023 - Elsevier
The allocation and scheduling of the emergency rescue forces is a fundamental task in
emergency management. This paper aims to address the allocation and scheduling problem …