Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification [PDF]
Scientific ReportsAccurate 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 +3 more
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An artificial bee bare-bone hunger games search for global optimization and high-dimensional feature selection [PDF]
iScience, 2023 Summary: The domains of contemporary medicine and biology have generated substantial high-dimensional genetic data. Identifying representative genes and decreasing the dimensionality of the data can be challenging.
Zhiqing Chen +7 more
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An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems [PDF]
Biomimetics, 2023 The Hunger Games Search (HGS) is an innovative optimizer that operates without relying on gradients and utilizes a population-based approach. It draws inspiration from the collaborative foraging activities observed in social animals in their natural ...
Yaoyao Lin +4 more
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Deep learning-based joint analysis of diabetic retinopathy and glaucoma in retinal fundus images [PDF]
Scientific ReportsIn current times, Diabetic retinopathy (DR) might be more difficult to diagnose when coexisting with glaucoma, since the two diseases share retinal abnormalities. Worldwide, DR is one of the most common causes of blindness.
T. Geetha, C. Hema
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Optimal Skin Cancer Detection Model Using Transfer Learning and Dynamic-Opposite Hunger Games Search [PDF]
Diagnostics, 2023 Recently, pre-trained deep learning (DL) models have been employed to tackle and enhance the performance on many tasks such as skin cancer detection instead of training models from scratch.
Abdelghani Dahou +5 more
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Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells [PDF]
Scientific ReportsThis article introduces a novel optimization approach to improve the parameter estimation of proton exchange membrane fuel cells (PEMFCs), which are critical for diverse applications but are challenging to model due to their nonlinear behavior.
Mohamed Issa +2 more
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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 +4 more
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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 +3 more
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A multistrategy improved hunger games search algorithm [PDF]
Scientific ReportsIn 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 +4 more
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Optimal dimensioning of grid-connected PV/wind hybrid renewable energy systems with battery and supercapacitor storage a statistical validation of meta-heuristic algorithm performance [PDF]
Scientific ReportsThe increasing environmental and economic drawbacks of fossil fuels have accelerated the global transition to renewable energy sources. In this context, the optimal design of hybrid renewable energy systems (HRES) that combine solar, wind, and energy ...
Mohamed Mahmoud Samy, Aykut Fatih Güven
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