BMPA-TVSinV: a binary marine predators algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection
Z Beheshti - Knowledge-Based Systems, 2022 - Elsevier
The feature selection problem is one of the pre-processing mechanisms to find the optimal
subset of features from a dataset. The search space of the problem will exponentially grow …
subset of features from a dataset. The search space of the problem will exponentially grow …
Multi-objective false data injection attacks of cyber–physical power systems
In cyber-physical power systems (CPPSs), false data injection attack (FDIA) has drawn much
attention due to its stealthiness. It is of great importance to investigate the potential …
attention due to its stealthiness. It is of great importance to investigate the potential …
A deep learning framework to identify remedial action schemes against false data injection cyberattacks targeting smart power systems
This article proposes a remedial action scheme (RAS) based on the concept of deep
learning to mitigate the impacts of false data injection (FDI) cyberattacks on smart power …
learning to mitigate the impacts of false data injection (FDI) cyberattacks on smart power …
A novel feature integration and entity boundary detection for named entity recognition in cybersecurity
X Wang, J Liu - Knowledge-Based Systems, 2023 - Elsevier
Owing to continuous cyberattacks, a large amount of threat intelligence is generated online
every day. However, threat intelligence is mostly unstructured and multisource …
every day. However, threat intelligence is mostly unstructured and multisource …
Load Redistribution Attacks Against Smart Grids–Models, Impacts, and Defense: A Review
P Verma, C Chakraborty - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
The integration of Information and Communication Technology (ICT) has revolutionized the
power grids by facilitating bidirectional energy and information flow. However, this …
power grids by facilitating bidirectional energy and information flow. However, this …
Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms
Due to their complexity and often harsh working environment, air compressors are inevitably
exposed to a variety of faults and defects during their operation. Thus, condition monitoring …
exposed to a variety of faults and defects during their operation. Thus, condition monitoring …
PAIDDE: A permutation-archive information directed differential evolution algorithm
Evolutionary algorithms have shown great successes in various real-world applications
ranging in molecule to astronomy. As a mainstream evolutionary algorithm, differential …
ranging in molecule to astronomy. As a mainstream evolutionary algorithm, differential …
A dos attack-resilient grid frequency regulation scheme via adaptive v2g capacity based integral sliding mode control
The latest developments in vehicle-to-grid (V2G) technology enable electric vehicles (EVs)
to participate in frequency regulation (FR), reducing the impact of uncertain power …
to participate in frequency regulation (FR), reducing the impact of uncertain power …
An improved beetle antennae search algorithm with Lévy flight and its application in micro-laser assisted turning
The beetle antennae search (BAS) algorithm is a single-solution metaheuristic optimizer that
imitates the foraging behavior of beetles. Due to its easy implementation and fast …
imitates the foraging behavior of beetles. Due to its easy implementation and fast …
Developing an Intelligent Decision Support System for large-scale smart grid communication network planning
MA Mochinski, M Biczkowski, IJ Chueiri… - Knowledge-Based …, 2024 - Elsevier
The placement of routers and gateways in wireless communication networks for Smart Grid
Advanced Metering Infrastructure (AMI) is a complex problem often addressed in the …
Advanced Metering Infrastructure (AMI) is a complex problem often addressed in the …