Cited by Web Service Prediction and Composition Based on Harris Hawks Optimization and Deep Learning

Quadruple Strategy-Driven Hiking Optimization Algorithm for Low and High-Dimensional Feature Selection and Real-World Skin Cancer Classification DOI

Mahmoud Abdel-Salam, Saleh Ali Alomari,

Mohammad H. Almomani

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113286 - 113286

Published: March 1, 2025

Language: Английский

Citations

Harnessing dynamic turbulent dynamics in parrot optimization algorithm for complex high-dimensional engineering problems DOI

Mahmoud Abdel-Salam, Saleh Ali Alomari, Jing Yang

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 440, P. 117908 - 117908

Published: March 19, 2025

Language: Английский

Citations

An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet DOI

Fan Yang,

Lihu Pan, Hongyan Cui

et al.

Frontiers in Physics, Journal Year: 2025, Volume and Issue: 13

Published: April 22, 2025

Introduction In the aviation field, drone search and rescue is a highly urgent task involving small target detection. such resource-constrained scenario, there are challenges of low accuracy high computational requirements. Methods This paper proposes IYFVMNet, an improved lightweight detection network based on YOLOv8. The key include feature extraction for objects trade-off between speed. To address these, four major innovations introduced: (1) Fasternet used to improve bottleneck structure in cross-stage fusion backbone network. approach fully utilizes all map information while minimizing memory (2) neck optimized using Vovnet Gsconv Cross Stage Partial module. operation also reduces cost by decreasing amount required channels, maintaining effectiveness representation. (3) he Minimum Point Distance Intersection over Union loss function employed optimize bounding box during model training. (4) construct overall structure, Layer-wise Adaptive Momentum Pruning algorithm thinning. Results Experiments TinyPerson dataset demonstrate that IYFVMNet achieves 46.3% precision, 30% recall, 29.3% mAP50, 11.8% mAP50-95. Discussion exhibits higher performance terms efficiency when compared other benchmark models, which demonstrates (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) small-object provides reference future research.

Language: Английский

Citations

Web Service Prediction and Composition Based on Harris Hawks Optimization and Deep Learning DOI

Mohamed Elhoseny, Mahmoud Abdel-Salam,

Ibrahim M. El‐Hasnony

et al.

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(5)

Published: May 2, 2025

Language: Английский

Citations