Results 11 to 20 of about 326 (131)

Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification [PDF]

Scientific Reports
Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks.
Mohammed Hussain, Thaer Thaher, Mohamed Basel Almourad, Majdi Mafarja   +3 more
doaj   +3 more sources

A multistrategy improved hunger games search algorithm [PDF]

Scientific Reports
In this paper, we propose a multistrategy improved Hunger Games Search (MHGS) algorithm to address several inherent limitations of the original HGS, including imbalanced exploration and exploitation, insufficient population diversity, and premature ...
Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan   +4 more
doaj   +3 more sources

Automatic Superpixel-Based Clustering for Color Image Segmentation Using q-Generalized Pareto Distribution under Linear Normalization and Hunger Games Search

Mathematics, 2021
Superixel is one of the most efficient of the image segmentation approaches that are widely used for different applications. In this paper, we developed an image segmentation based on superpixel and an automatic clustering using q-Generalized Pareto ...
Mohamed Abd Elaziz, Esraa Osama Abo Zaid, Mohammed A. A. Al-qaness, Rehab Ali Ibrahim   +3 more
doaj   +4 more sources

Medical Image Classifications for 6G IoT-Enabled Smart Health Systems [PDF]

Diagnostics, 2023
As day-to-day-generated data become massive in the 6G-enabled Internet of medical things (IoMT), the process of medical diagnosis becomes critical in the healthcare system.
Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, Rehab Ali Ibrahim, Ahmad O. Aseeri   +4 more
doaj   +3 more sources

Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design

Journal of King Saud University: Engineering Sciences, 2022
This paper explains the construction of a novel augmented hunger games search algorithm using a logarithmic spiral opposition-based learning technique.
Davut Izci, Serdar Ekinci, Erdal Eker, Murat Kayri   +3 more
doaj   +6 more sources

Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction [PDF]

Sensors, 2022
Currently, analysts in a variety of nations have developed various WSN clustering protocols. The major characteristic is the Low Energy Adaptive Clustering Hierarchy (LEACH), which attained the objective of energy balance by sporadically varying the ...
Sasikumar Gurumoorthy, Parimella Subhash, Rocio Pérez de Prado, Marcin Wozniak   +3 more
doaj   +3 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   +3 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   +3 more sources

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   +2 more sources

Improving precision agriculture using integrated bio-inspired optimization models for crop recommendation in Rajasthan, India [PDF]

Scientific Reports
This study introduces two novel hybrid nature-inspired optimization algorithms designed to enhance artificial neural network (ANN) performance in crop recommendation, leveraging remote sensing data from Landsat 8 and 9 platforms.
Lavika Goel, Nawdeep Kumar, Snehal Jain, Yuganshi Agrawal   +3 more
doaj   +2 more sources