Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection

Y Liu, AA Heidari, Z Cai, G Liang, H Chen, Z Pan… - Neurocomputing, 2022 - Elsevier
The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …

A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones

A Heidari, NJ Navimipour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

On the vibrations of the Electrorheological sandwich disk with composite face sheets considering pre and post-yield regions

F Kong, F Dong, M Duan, M Habibi, H Safarpour… - Thin-Walled …, 2022 - Elsevier
Electrorheological (ER) is a type of material that can change its state from liquid to solid by
being under an electrical field, bringing much attention from researchers. So, in this article …

Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data

A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi… - Water, 2022 - mdpi.com
Flash floods are the most dangerous kinds of floods because they combine the destructive
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …

Evolving chimp optimization algorithm by weighted opposition-based technique and greedy search for multimodal engineering problems

Q Bo, W Cheng, M Khishe - Applied Soft Computing, 2023 - Elsevier
This paper presents an evolved chimp optimization algorithm (ChOA) that uses greedy
search (GS) and opposition-based learning (OBL) to respectively increase the ChOA's …

[HTML][HTML] Electromagnetic scattering characteristic extraction and imaging recognition algorithm: A review

X Mengdao, XIE Yiyuan, GAO Yuexin, Z Jinsong… - 雷达学报, 2022 - radars.ac.cn
One remarkable trend in applying synthetic aperture radar technology is the automatic
interpretation of Synthetic Aperture Radar (SAR) images. The electromagnetic scattering …

Electromagnetic scattering feature (ESF) module embedded network based on ASC model for robust and interpretable SAR ATR

S Feng, K Ji, F Wang, L Zhang, X Ma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep learning has been widely used in automatic target recognition (ATR) for synthetic
aperture radar (SAR) recently. However, most of the studies are based on the network …

Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images

C Cai, B Gou, M Khishe, M Mohammadi… - Expert Systems with …, 2023 - Elsevier
Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …

[HTML][HTML] 电磁散射特征提取与成像识别算法综述

邢孟道, 谢意远, 高悦欣, 张金松, 刘嘉铭, 吴之鑫 - 雷达学报, 2022 - radars.ac.cn
合成孔径雷达(SAR) 图像的自动化解译是合成孔径雷达技术应用的重要发展方向之一.
电磁散射特征与目标结构具有稳健的关联性, 是SAR 图像解译的关键支撑. 近年来 …

[HTML][HTML] Understanding spatial growth of the old city of Nanjing during 1850–2020 based on historical maps and Landsat data

X Bai, H Xu - The Egyptian Journal of Remote Sensing and Space …, 2023 - Elsevier
The conservation and renewal of old cities has become one of the focuses of urban planning
worldwide. It is crucial for the sustainable development of old cities to expound the growth …