Results 11 to 20 of about 570 (169)

Estimation of Electrical Parameters of the Induction Machine Steady State Model Using Nameplate Data and Hunger Game Search Algorithm [PDF]

هوش محاسباتی در مهندسی برق, 2023
In this paper, the Hunger Games Search (HGS) optimization algorithm is used to estimate the electrical parameters of the induction machine steady state model. Induction machine nameplate data is used as input to the proposed algorithm. The performance of
Ahmad Shirzadi, Arash Dehestani Kolagar, Mohammad Reza Alizadeh Pahlavani   +2 more
doaj   +3 more sources

APPLYING HUNGER GAME SEARCH (HGS) FOR SELECTING SIGNIFICANT BLOOD INDICATORS FOR EARLY PREDICTION OF ICU COVID-19 SEVERITY [PDF]

Computer Science, 2023
Millions of people around the world have been affected and some have died during the global pandemic Corona (COVID-19). This pandemic has created a global threat to people's lives and medical systems. The constraints of hospital resources and the pressures on healthcare workers during this period are among the reasons for wrong decisions and medical ...
Safynaz Sayed, Abeer ElKorany, Sabah Sayed   +2 more
openaire   +3 more sources

Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm [PDF]

Energies, 2021
This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing proton exchange membrane fuel cells (PEMFCs).
Samuel Raafat Fahim, Hany M. Hasanien, Rania A. Turky, Abdulaziz Alkuhayli, Abdullrahman A. Al-Shamma’a, Abdullah M. Noman, Marcos Tostado-Véliz, Francisco Jurado   +7 more
doaj   +3 more sources

Identification of Parameters in Photovoltaic Models through a Runge Kutta Optimizer [PDF]

Mathematics, 2021
Recently, the resources of renewable energy have been in intensive use due to their environmental and technical merits. The identification of unknown parameters in photovoltaic (PV) models is one of the main issues in simulation and modeling of renewable
Hassan Shaban, Essam H. Houssein, Marco Pérez-Cisneros, Diego Oliva, Amir Y. Hassan, Alaa A. K. Ismaeel, Diaa Salama AbdElminaam, Sanchari Deb, Mokhtar Said   +8 more
doaj   +3 more sources

Red-tailed hawk algorithm for numerical optimization and real-world problems [PDF]

Scientific Reports, 2023
This study suggests a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy from detecting the prey until the swoop stage.
Seydali Ferahtia, Azeddine Houari, Hegazy Rezk, Ali Djerioui, Mohamed Machmoum, Saad Motahhir, Mourad Ait-Ahmed   +6 more
doaj   +2 more sources

Machine Learning in Geotechnics: Predicting Unconfined Compressive Strength of Stabilized Organic Soils Using Hybrid Models

Advances in Civil Engineering
It is important to predict the unconfined compressive strength (UCS) of stabilized organic soils to be used in designing of foundations. Although machine learning (ML) methods have potential, the literature does not provide overall comparisons.
null Utkarsh, Pradeep Kumar Jain, Bulbul Ahmed   +2 more
doaj   +2 more sources

Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems [PDF]

Scientific Reports
The Internet of Things (IoT) presents significant advantages to day-to-day life across a wide range of application domains, including healthcare automation, transportation, and smart environments.
Saud S. Alotaibi, Turki Ali Alghamdi
doaj   +2 more sources

Artificial intelligence-driven cybersecurity system for internet of things using self-attention deep learning and metaheuristic algorithms [PDF]

Scientific Reports
Recently, Internet of Things (IoT) usage has increased rapidly, and cybersecurity concerns have also improved. Cybersecurity attacks are exclusive to the IoT, which has unique limitations and characteristics. Considering that many attacks and threats are
Fahad Alblehai
doaj   +2 more sources

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things. [PDF]

Comput Intell Neurosci, 2022
The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection and prediction of diseases such as melanoma and leukemia is still being ...
Mabrouk A, Dahou A, Elaziz MA, Díaz Redondo RP, Kayed M.   +4 more
europepmc   +2 more sources

A Multi-Stage Adaptive Sequential Parameter Exploration Hunger Games Search Algorithm for Solving Complex Optimization Problems

IEEE Access, 2023
Hunger Games Search (HGS) is a newly developed metaheuristic algorithm that models the hunger-driven activities and behaviors of animals. It incorporates the concept of hunger to devise an adaptive weight that mimics the impact of hunger on each search ...
Bihao Zhan, Wei Gu
doaj   +1 more source