Results 61 to 70 of about 4,362 (249)
Enhancing spam detection using Harris Hawks optimization algorithm [PDF]
This paper employs machine learning (ML) algorithms to identify and classify spam emails. The Harris Hawks optimization (HHO) algorithm can detect the crucial features that distinguish spam from ham emails.
Adel Abu-Shareha, Ahmad +4 more
core +2 more sources
Computerized Analysis of Magnetic Resonance Images to Study Cerebral Anatomy in Developing Neonates [PDF]
, 2008 The study of cerebral anatomy in developing neonates is of great importance for the understanding of brain development during the early period of life.
Xue, Hui, Xue, Hui
core +1 more source
A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities [PDF]
, 2020 819-823The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net.
Elvira-Ortiz, D A +4 more
core +3 more sources
Journal of Electrical Systems and Information Technology, 2021 Conventional unit commitment problem (UCP) consists of thermal generating units and its participation schedule, which is a stimulating and significant responsibility of assigning produced electricity among the committed generating units matter to ...
Ayani Nandi, Vikram Kumar Kamboj
doaj +1 more source
Energy Science &Engineering, EarlyView.The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali +5 more
wiley +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
Enhanced adaptive-convergence in Harris’ hawks optimization algorithm
Artificial Intelligence ReviewAbstractThis paper presents a novel enhanced adaptive-convergence in Harris’ hawks optimization algorithm (EAHHO). In EAHHO, considering that Harris’ hawks will adopt different perching strategies and chasing styles according to the value of the escaping energy parameter E, nonlinear adaptive-convergence factor a is designed and adjusted to enhance the
Mingxuan Mao, Diyu Gui
openaire +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
IEEE Access, 2023 The optimal performance of a wireless mesh network (WMN) can be greatly improved by strategically placing wireless mesh routers. As a result, it is crucial to optimally locate the WMN routers for better coverage and connectivity.
Hakim Q. A. Abdulrab +6 more
doaj +1 more source
GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler +2 more
wiley +1 more source