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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…Therefore, the proposed work, in this paper, is based on the Least Significant Bit (LSB) substitution method. …"
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
منشور في 2018"…In this paper, we present a twophase technique to classify images of lesions into benign or malignant. The first phase consists of an image processing-based method that extracts the Asymmetry, Border Irregularity, Color Variation and Diameter of a given mole. …"
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Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation
منشور في 2025"…<p dir="ltr">This study explores the limitations of image-based structural health monitoring (SHM) techniques in detecting structural damage. …"
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…One of the well-known designs of RDH is the difference expansion (DE) method. In the DE-based RDH method, finding spaces that create less distortion in the marked image is a significant challenge, and has a high insertion capacity. …"
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Dynamic model scaling based on segmented tumor size for breast cancer detection
منشور في 2025"…This approach represents a notable advancement in breast cancer detection within histopathology images and holds significant potential as a tool in computational pathology.…"
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images
منشور في 2024"…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …"
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MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN
منشور في 2023"…<p dir="ltr">Various vision-based tasks suffer from inaccurate navigation and poor performance due to inevitable problems, such as adverse weather conditions like haze, fog, rain, snow, and clouds affecting ground and aerial navigation, as well as underwater images being degraded with blue-green tones and mud affecting marine navigation. …"
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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
منشور في 2023"…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …"
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
منشور في 2025"…To enhance PV power probabilistic forecasting, this paper proposes a novel diffusion-based framework that leverages cross-attention on multi-resolution sky image patches. …"
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Quantitative imaging of lymph function
منشور في 2007"…In addition, we demonstrate a lymph molecular imaging agent based on hyaluronan, a ligand for lymph vascular endothelial receptor (LYVE-1) (3, 23) to molecularly target the lymphatic vasculature. …"
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Unsupervised knowledge representation of panoramic dental X-ray images using SVG image-and-object clustering
منشور في 2023"…We have created a labelled SVG dataset consisting of 22,553 objects from 750 images based on panoramic dental X-ray images. To our knowledge, it is the first significant dataset of labelled SVG objects and images, which we make available online as a benchmark for future research in this area. …"
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InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
منشور في 2023"…<p dir="ltr">In February 2023, Turkey experienced a series of earthquakes that caused significant damage to buildings and affected many people. …"
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
منشور في 2025"…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …"
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
منشور في 2024"…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …"
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Improving text-to-image generation with object layout guidance
منشور في 2022"…To evaluate the performance of our approach, we use the COCO dataset and compare it with three baseline approaches, namely, sg2im, StackGAN and AttnGAN, in terms of image quality and user evaluation. According to the obtained assessment results, our object layout guidance-based approach significantly outperforms the abovementioned baseline approaches in terms of the accuracy of semantic matching and realism of the generated images representing the story text sentences.…"
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Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation
منشور في 2023احصل على النص الكامل
doctoralThesis -
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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection
منشور في 2023"…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …"