KOC_Net: Impact of the Synthetic Minority Over-Sampling Technique with Deep Learning Models for Classification of Knee Osteoarthritis Using Kellgren–Lawrence X-Ray Grade by Syeda Nida Hassan, Mudassir Khalil, Humayun Salahuddin, Rizwan Ali Naqvi, Daesik Jeong, Seung-Won Lee

“…By applying knee X-ray images and the Kellgren–Lawrence (KL) grading system, the objective of this study was to develop a DL model for detecting KOA. …”
Get full text

In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

“…Feature extraction to build the dataset involved image segmentation, performed using the Mahalanobis distance algorithm, as well as spectral processing to calculate multiple vegetation indices. …”
Get full text

Integration of Multispectral Images Using Two-Dimensional Wavelet Transformation by Firas Al-Druzy

“…Image fusion is an effective tool to integrate multi-source image, where the purpose of the process access to information integration concept, and make the resulting image more suited to human vision, as well as digital processing. …”
Get full text

Sensor-Based Rock Hardness Characterization in a Gold Mine Using Hyperspectral Imaging and Portable X-Ray Fluorescence Technologies by Saleh Ghadernejad, Kamran Esmaeili, Mariano P. Consens

“…This study investigates sensor-based technologies, hyperspectral imaging, and portable X-ray fluorescence (pXRF) integrated with machine learning (ML) algorithms for characterizing rock hardness in open-pit gold mining contexts. …”
Get full text

Multimedia privacy protection: an N-round cascaded cryptosystem based on merged multi-chaotic maps under various image attacks by Tarek Srour, Ali M. El-Rifaie, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Bilel Neji

“…Several chaos-based encryption techniques have been utilized to construct the proposed algorithm, and various scenarios of the N-round mechanism over different classified images have been presented. …”
Get full text

Brain Perfusion Analysis Method using Computed Tomography Images by E. Khudiakova, A. Gavrilov, A. Krylov

Get full text

Method of anti-confusion texture feature descriptor for malware images by Yashu LIU, Zhihai WANG, Hanbing YAN, Yueran HOU, Yukun LAI

“…It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.The texture feature description method has great influence on the result.To solve this problem,a new method was presented that joints global feature of GIST with local features of LBP or dense SIFT in order to construct combinative descriptors of malware gray-scale images.Using those descriptors,the malware classification performance was greatly improved in contrast to traditional method,especially for those samples have higher similarity in the different families,or those have lower similarity in the same family.A lot of experiments show that new method is much more effective and general than traditional method.On the confusing dataset,the accuracy rate of classification has been greatly improved.…”
Get full text

Shallow Model and Deep Learning Model for Features Extraction of Images by Saba Qasim Hasan

“…These properties make it possible to characterize the issue and create models that explain a system or process. A variety of image preparation techniques or data sets, Different approaches are done to obtain a feature that will be used for artificial intelligence (AI) algorithms that projects involving ML or the trendiest and most well-liked fields, including deep learning. …”
Get full text

Survey of Quantum Generative Adversarial Networks (QGAN) to Generate Images by Mohammadsaleh Pajuhanfard, Rasoul Kiani, Victor S. Sheng

“…The most advanced method is Parameterized Quantum Wasserstein GAN (PQWGAN), which uses a hybrid quantum-classical structure to obtain high-resolution image processing for 28 × 28 grayscale datasets while trying to maintain parameter efficiency. …”
Get full text

Visible Light Dynamic Positioning Method Using Improved Camshift-Kalman Algorithm by Weipeng Guan, Zhipeng Liu, Shangsheng Wen, Hongyun Xie, Xingjie Zhang

“…Therefore, we propose a novel VLP method based on image sensor (as positioning terminal), using improved Camshift-Kalman algorithm. …”
Get full text

Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images by Dmitry Pasynkov, Ivan Egoshin, Alexey Kolchev, Ivan Kliouchkin, Olga Pasynkova, Zahraa Saad, Anis Daou, Esam Mohamed Abuzenar

“…Therefore, it is necessary to develop effective algorithms for the segmentation, classification, and analysis of US images. …”
Get full text

Speed and efficiency analysis of artificial intelligence recognition system of glomerular pathology based on Faster R-CNN algorithm by YANG Hui, ZHANG Xing-na, JIANG Qiu-zhu, YUAN Cheng-ying, QU Chong-xiao, LIU Yun-xiao, WANG Chen, LI Ming, LI Rong-shan, ZHOU Xiao-shuang

Get full text

Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

Get full text

Invertible secret image sharing scheme based on improved FEMD by Limin MA, Jiahui WANG

“…Based on the improved FEMD algorithm an invertible secret image sharing scheme was proposed.Firstly,the embedding process of secret data was improved to make the original pixel pair and the stego pixel-pair to become a one-to-one mapping.Then a unique status flag was set to be calculated to record and process the original status of the over flow pixel-pair.Experimental data and analysis show that the proposed algorithm can guarantee the generation of high quality cryptographic images and solve the problem that the original carrier image can not be restored.…”
Get full text

Estimating and Downscaling ESA-CCI Soil Moisture Using Multi-Source Remote Sensing Images and Stacking-Based Ensemble Learning Algorithms in the Shandian River Basin, China by Liguo Wang, Ya Gao

Get full text

Investigating the modified UO-iteration process in Banach spaces by a digraph by Yolacan Esra

Get full text

An End-to-End Deep Learning System for Automated Fashion Tagging: Segmentation, Classification, and Hierarchical Labeling by Basak Esin Kokturk-Guzel

“…This paper presents a comprehensive end-to-end system designed for the automated tagging of fashion products using deep learning and image processing techniques. The system initiates by segmenting fashion items in images to define their boundaries, achieving a mean Intersection-over-Union (IoU) score of <inline-formula> <tex-math notation="LaTeX">$0.79\pm 0.24$ </tex-math></inline-formula> with Detectron2, outperforming alternative models such as U-Net, which scored an IoU of <inline-formula> <tex-math notation="LaTeX">$0.62\pm 0.36$ </tex-math></inline-formula>. …”
Get full text

High-precision Joint 2D Traveltime Calculation for Seismic Processing by Hui Sun, Fanchang Meng, Zhihou Zhang, Cheng Gao, Mingchen Liu

Get full text

Determinação da cobertura do solo por análise de imagens e redes neurais Soil cover determination using image analysis and neural networks by Carlos A. A. Varella, Francisco de A. de C. Pinto, Daniel M. de Queiroz, Darly G. de Sena Júnior

Get full text

Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

Get full text