Results 81 to 90 of about 5,490 (253)
Engineering Reports, Volume 8, Issue 5, May 2026.This review evaluates advanced intelligent fault diagnosis and resilient fault‐tolerant control strategies for modular multilevel converters (MMCs). It highlights how integrating machine learning with robust control architectures enhances reliability and operational continuity, providing a roadmap for developing more resilient, self‐healing power ...
Muhammad Haris Saleem +3 more
wiley +1 more source
IEEE Access, 2020 Harris hawks optimization (HHO) is a new swarm intelligence optimization technique. Because of its simple structure and easy to implement, HHO has attracted research interest from scholars in different fields.
Xuncai Zhang, Kai Zhao, Ying Niu
doaj +1 more source
IET Generation, Transmission & Distribution, 2021 This work demonstrates a maiden application of a fractional‐order based three‐degree‐of‐freedom tilt‐integral‐derivative controller for escalating the load frequency control performance of power system having wind power generator integrated.
Dipayan Guha +2 more
doaj +1 more source
Highly Reproducible, Vendor‐Agnostic, Motion‐Insensitive Liver PDFF Mapping at 0.55T, 1.5T, and 3T
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2797-2813, May 2026.ABSTRACT Purpose To develop and validate a vendor‐agnostic, motion‐insensitive proton‐density fat‐fraction (PDFF) quantification method. Methods Flip‐angle‐modulated (FAM) 2D chemical‐shift‐encoded (CSE) MRI for PDFF quantification was implemented in both the vendor‐agnostic platform Pulseq (“Pulseq‐FAM”) and one vendor‐specific platform (“GE‐specific ...
Jiayi Tang +27 more
wiley +1 more source
PLoS ONEIn wireless sensor networks, the implementation of clustering and routing protocols has been crucial in prolonging the network's operational duration by conserving energy. However, the challenge persists in efficiently optimizing energy usage to maximize
Huangshui Hu, Xinji Fan, Chuhang Wang
doaj +1 more source
Modelling of Harris Hawks optimization with deep learning-assisted microgrid energy management approach [PDF]
Microgrid (MG) is a potential decentralized energy distribution and generation technology that is resilient, reliable, and efficient. This small-scale power system is reliable and resilient since it connects to the grid or runs independently.
Alluri, Amarendra +5 more
core +2 more sources
An Efficient Hybrid Classification Approach for COVID-19 Based on Harris Hawks Optimization and Salp Swarm Optimization [PDF]
, 2022 Feature selection can be defined as one of the pre-processing steps that decreases the dimensionality of a dataset by identifying the most significant attributes while also boosting the accuracy of classification.
Ali, Yossra +2 more
core +1 more source
Improved Harris Hawks Optimization Algorithm Based Data Placement Strategy for Integrated Cloud and Edge Computing [PDF]
, 2023 V. Nivethitha, G. Aghila
openalex +1 more source
Deforming the Double‐Scaled SYK and Reaching the Stretched Horizon From Finite Cutoff Holography
Fortschritte der Physik, Volume 74, Issue 5, May 2026.ABSTRACT We study the properties of the double‐scaled SYK (DSSYK) model under chord Hamiltonian deformations based on finite cutoff holography for general dilaton gravity theories with Dirichlet boundaries. The formalism immediately incorporates a lower‐dimensional analog of TT¯(+Λ2)$\text{T}\overline{\text{T}}(+\Lambda _2)$ deformations, denoted T2 ...
Sergio E. Aguilar‐Gutierrez
wiley +1 more source
IEEE Access, 2020 The rapid increase in data volume and features dimensionality have a negative influence on machine learning and many other fields, such as decreasing classification accuracy and increasing computational cost.
Rami Sihwail +3 more
doaj +1 more source