WF-AlexNet:AlexNet with Automatically Optimized Hyperparameters for Weather Forecasting DOI
Soner Kızıloluk, Eser Sert

NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University, Год журнала: 2024, Номер unknown

Опубликована: Окт. 25, 2024

Image classification is a critical area of research with widespread applications across various disciplines, including computer vision, pattern recognition, and artificial intelligence. Despite the advancements in Convolutional Neural Networks (CNNs), which have revolutionized field by providing powerful tools for image classification, many studies encountered challenges achieving optimal performance. These often arise from complex nature CNN architectures multitude hyperparameters that require fine-tuning. Among models, AlexNet has been widely recognized its contributions to deep learning, yet there remains significant potential improvement through optimization hyperparameters. In this study, WF-AlexNET designed enhance performance architecture optimizing first convolutional layer using Equilibrium Optimization (EO) algorithm. The EO algorithm, was employed fine-tune filter size, number, stride, padding parameters, are crucial effective feature extraction. proposed method rigorously tested on multi-class weather dataset evaluate accuracy robustness. Experimental results demonstrate significantly outperforms standard model, 10.5% increase mean validation 6.51% test accuracy. Furthermore, approach compared against other prominent architectures, VGG-16, GoogleNet, ShuffleNet, MobileNet-V2, VGG-19. consistently exhibited superior multiple metrics, F1-score maximum accuracy, highlighting efficacy addressing associated hyperparameter CNNs.

Язык: Английский

Neuro-Fuzzy Controller Based Adaptive Control for Enhancing the Frequency Response of Two-Area Power System DOI Creative Commons

M. S. Elborlsy,

Samir A. Hamad, Fayez F. M. El-Sousy

и другие.

Heliyon, Год журнала: 2025, Номер unknown, С. e42547 - e42547

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Deep learning-driven prediction in healthcare systems: Applying advanced CNNs for enhanced breast cancer detection DOI
Marouene Chaieb, M. Azzouz,

Mokhles Ben Refifa

и другие.

Computers in Biology and Medicine, Год журнала: 2025, Номер 189, С. 109858 - 109858

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

1

Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning DOI

Mosa E. Hosney,

Essam H. Houssein,

Mohammed R. Saad

и другие.

Computers in Biology and Medicine, Год журнала: 2024, Номер 182, С. 109175 - 109175

Опубликована: Сен. 24, 2024

Язык: Английский

Процитировано

3

Multi-agent based optimal sizing of hybrid renewable energy systems and their significance in sustainable energy development DOI Creative Commons

Mohamed A. Mohamed,

Myada Shadoul, Hassan Yousef

и другие.

Energy Reports, Год журнала: 2024, Номер 12, С. 4830 - 4853

Опубликована: Ноя. 5, 2024

Язык: Английский

Процитировано

3

An efficient multi-objective parrot optimizer for global and engineering optimization problems DOI Creative Commons

Mohammed R. Saad,

Marwa M. Emam,

Essam H. Houssein

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 11, 2025

Abstract The Parrot Optimizer (PO) has recently emerged as a powerful algorithm for single-objective optimization, known its strong global search capabilities. This study extends PO into the Multi-Objective (MOPO), tailored multi-objective optimization (MOO) problems. MOPO integrates an outward archive to preserve Pareto optimal solutions, inspired by behavior of Pyrrhura Molinae parrots. Its performance is validated on Congress Evolutionary Computation 2020 (CEC’2020) benchmark suite. Additionally, extensive testing four constrained engineering design challenges and eight popular confined unconstrained test cases proves MOPO’s superiority. Moreover, real-world helical coil springs automotive applications conducted depict reliability proposed in solving practical Comparative analysis was performed with seven published, state-of-the-art algorithms chosen their proven effectiveness representation current research landscape-Improved Manta-Ray Foraging Optimization (IMOMRFO), Gorilla Troops (MOGTO), Grey Wolf (MOGWO), Whale Algorithm (MOWOA), Slime Mold (MOSMA), Particle Swarm (MOPSO), Non-Dominated Sorting Genetic II (NSGA-II). results indicate that consistently outperforms these across several key metrics, including Set Proximity (PSP), Inverted Generational Distance Decision Space (IGDX), Hypervolume (HV), (GD), spacing, maximum spread, confirming potential robust method addressing complex MOO

Язык: Английский

Процитировано

0

Facilitating Multi-UAVs application for rescue in complex 3D sea wind offshore environment: A scalable Multi-UAVs collaborative path planning method based on improved coatis optimization algorithm DOI
Hangyu Li, Fahui Miao, Xiaojun Mei

и другие.

Ocean Engineering, Год журнала: 2025, Номер 324, С. 120701 - 120701

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0

A multi-strategy improved Coati optimization algorithm for solving global optimization problems DOI
Xin Luo,

Yage Yuan,

Youfa Fu

и другие.

Cluster Computing, Год журнала: 2025, Номер 28(4)

Опубликована: Фев. 25, 2025

Язык: Английский

Процитировано

0

A Novel Neuro Fuzzy Deep Random Vector Functional Link Network for Early Cancer Diagnosis Using Thermography DOI

Swapna Davies,

Jaison Jacob

2022 8th International Conference on Signal Processing and Communication (ICSC), Год журнала: 2025, Номер unknown, С. 203 - 208

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0

Enhanced global optimization using quadratically interpolated hybrid pathfinder algorithm DOI Creative Commons

Oluwatayomi Rereloluwa Adegboye,

Afi Kekeli Feda,

Abosede Omowumi Tibetan

и другие.

Cluster Computing, Год журнала: 2025, Номер 28(5)

Опубликована: Апрель 28, 2025

Язык: Английский

Процитировано

0

An improved osprey optimization algorithm to analyse the steady state performance of stainless steel utensil manufacturing unit DOI

Manisha Singh,

Pawan Kumar

Life Cycle Reliability and Safety Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 25, 2025

Язык: Английский

Процитировано

0