Results 11 to 20 of about 13,995 (284)

Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling [PDF]

Sensors
This paper aims to improve the steering performance of the Ackermann personal mobility scooter based on a new meta-heuristic optimization algorithm named Differential Harris Hawks Optimization (DHHO) and the modeling of the steering encoder. The steering
Mohamed Reda, Ahmed Onsy, Amira Y. Haikal, Ali Ghanbari   +3 more
doaj   +5 more sources

Dynamic Harris Hawks Optimization with Mutation Mechanism for Satellite Image Segmentation

Remote Sensing, 2019
In this paper, a novel satellite image segmentation technique based on dynamic Harris hawks optimization with a mutation mechanism (DHHO/M) is proposed.
Heming Jia, Chunbo Lang, Diego Oliva, Wenlong Song, Xiaoxu Peng   +4 more
doaj   +4 more sources

Distributed denial-of-service (DDoS) on the smart grids based on VGG19 deep neural network and Harris Hawks optimization algorithm. [PDF]

Sci Rep
The integration of advanced technologies into the infrastructure of modern smart grids has revolutionized the efficiency and reliability of energy distribution systems.
Alhashmi A, Idwaib H, Avci SA, Rahebi J, Ghadami R.   +4 more
europepmc   +2 more sources

Hybrid Aquila optimizer–Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification [PDF]

Scientific Reports
Magnetic resonance imaging (MRI) is hard to categorize properly in terms of interclass similarity, there is data imbalance, and sensitive clinical decision-making: but the performance of convolutional neural networks (CNNs) highly relies on effective ...
Manoj Kumar, Noor Mohd, G. Shivam, Ankur Goyal, Deepak Parashar, Rijwan Khan   +5 more
doaj   +2 more sources

Modified Harris Hawks optimization for the 3E feasibility assessment of a hybrid renewable energy system. [PDF]

Sci Rep
The off-grid Hybrid Renewable Energy Systems (HRES) demonstrate great potential to be sustainable and economically feasible options to meet the growing energy needs and counter the depletion of conventional energy sources.
Rathod AA, S B.
europepmc   +2 more sources

Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter [PDF]

Journal of Rock Mechanics and Geotechnical Engineering, 2022
The study proposes an improved Harris hawks optimization (IHHO) algorithm by integrating the standard Harris hawks optimization (HHO) algorithm and mutation-based search mechanism for developing a high-performance machine learning solution for predicting
Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo'ubi, Bishwajit Roy, Pijush Samui, Amir H. Gandomi   +5 more
doaj   +3 more sources

Hybrid Harris Hawks optimization with eagle strategy particle swarm optimization for stability and disturbance rejection in tethered UAV systems. [PDF]

Sci Rep
In the paper, a new hybrid optimization method is proposed to design an advanced attitude controller of tethered UAVs. The suggested methodology builds on the use of a Fractional-Order Proportional-Derivative-Derivative Integral (FOPDD-I) controller ...
Ismael AK, Kurnaz S, Basil N.
europepmc   +2 more sources

Enhancing spam detection using Harris Hawks optimization algorithm [PDF]

TELKOMNIKA (Telecommunication Computing Electronics and Control)
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.
Mosleh M. Abualhaj, Sumaya Nabil Alkhatib, Ahmad Adel Abu-Shareha, Adeeb M. Alsaaidah, Mohammed Anbar   +4 more
semanticscholar   +4 more sources

Whale Harris hawks optimization based deep learning classifier for brain tumor detection using MRI images

Journal of King Saud University: Computer and Information Sciences, 2022
The detection of Brain cancer is an essential process, which is based on the clinician’s knowledge and experience. An automatic tumor classification model is important to handle radiologists to detect the brain tumors.
D. Rammurthy, P.K. Mahesh
doaj   +2 more sources

Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization

Mathematics, 2022
The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity
Tingting Zou, Changyu Wang
doaj   +2 more sources