A genetic algorithm based feature selection approach for microstructural image classification

AH Khan, SS Sarkar, K Mali, R Sarkar - Experimental Techniques, 2022 - Springer
Microstructure determines the most important factors that influence all aspects of the
physical properties of the metal. Machine learning based systems allow us to look at the …

A harmony search-based wrapper-filter feature selection approach for microstructural image classification

SS Sarkar, KH Sheikh, A Mahanty, K Mali… - Integrating Materials and …, 2021 - Springer
Besides chemical composition, microstructure plays a key role to control the properties of
engineering materials. A strong correlation exists between microstructure and many …

High-resolution SAR image classification using multi-scale deep feature fusion and covariance pooling manifold network

W Liang, Y Wu, M Li, Y Cao, X Hu - Remote Sensing, 2021 - mdpi.com
The classification of high-resolution (HR) synthetic aperture radar (SAR) images is of great
importance for SAR scene interpretation and application. However, the presence of intricate …

Adaptive multiple kernel fusion model using spatial-statistical information for high resolution SAR image classification

W Liang, Y Wu, M Li, Y Cao - Neurocomputing, 2022 - Elsevier
The current high-resolution (HR) synthetic aperture radar (SAR) image classification is
confronted with the challenges of the complex spatial patterns and highly variable …

Analysis and classification of SAR textures using information theory

ETC Chagas, AC Frery, OA Rosso… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The use of Bandt–Pompe probability distributions and descriptors of information theory has
been presenting satisfactory results with low computational cost in the time series analysis …

Computational imaging and occluded objects perception method based on polarization camera array

X Pu, X Wang, L Shi, Y Ma, C Wei, X Gao, J Gao - Optics Express, 2023 - opg.optica.org
Traditional optical imaging relies on light intensity information from light reflected or
transmitted by an object, while polarization imaging utilizes polarization information of light …

Exploring the strengths of pre-trained CNN models with machine learning techniques for skin cancer diagnosis

AK Gairola, V Kumar, AK Sahoo - 2022 IEEE 2nd Mysore Sub …, 2022 - ieeexplore.ieee.org
Most people exposed to UV radiation get skin cancer, which is the most common health risk.
The condition is identified when the epidermal tissues develop in an abnormal way and take …

A Novel Lightweight Attention-Discarding Transformer for High-Resolution SAR Image Classification

X Liu, Y Wu, X Hu, Z Li, M Li - IEEE Geoscience and Remote …, 2023 - ieeexplore.ieee.org
Vision transformer (ViT) has been introduced in high-resolution synthetic aperture radar (HR
SAR) image classification due to its excellent global feature extraction ability. However …

A wavelet-driven subspace basis learning network for high-resolution synthetic aperture radar image classification

K Ni, M Zhai, Q Wu, M Zou… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The feature learning strategy of convolutional neural networks learns the deep spatial
features from high-resolution (HR) synthetic aperture radar (SAR) images while ignoring the …

[PDF][PDF] An adaptive confidentiality security service enhancement protocol using image-based key generator for multi-agent ethernet packet switched networks

JF Abukhait, MS Saleh - International Journal of Electrical and Electronic …, 2023 - ijeetc.com
Conventional network Security Protocols provide different types of security services that
establish secure connections between network nodes making them robust against different …