A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

“…Therefore, the proposed work, in this paper, is based on the Least Significant Bit (LSB) substitution method. …”

An image processing and genetic algorithm-based approach for the detection of melanoma in patients by Tokajian, Sima

“…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 by Vagelis Plevris (14158863)

“…<p dir="ltr">This study explores the limitations of image-based structural health monitoring (SHM) techniques in detecting structural damage. …”

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…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 by Younes Akbari (16303286)

“…This approach represents a notable advancement in breast cancer detection within histopathology images and holds significant potential as a tool in computational pathology.…”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…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. …”

Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

“…<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. …”

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…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. …”

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…To enhance PV power probabilistic forecasting, this paper proposes a novel diffusion-based framework that leverages cross-attention on multi-resolution sky image patches. …”

A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”

Quantitative imaging of lymph function by Sharma, Ruchi

“…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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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

Dual-labeled trastuzumab-based imaging agent for the detection of human epidermal growth factor receptor 2 overexpression in breast cancer by Sampath, Lakshmi

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Unsupervised knowledge representation of panoramic dental X-ray images using SVG image-and-object clustering by Salameh, Khouloud

“…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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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”

Vocal Changes in Patients With Polycystic Ovary Syndrome by Hannoun, Antoine

“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Whole Slide Imaging Integration with Lab Information Systems, a Study of the Requirements, Processes and Procedures Enabling a Reporting-Based Workflow by Fouad S Alchami (17991334)

InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images by Burak Tasci (17032302)

“…<p dir="ltr">In February 2023, Turkey experienced a series of earthquakes that caused significant damage to buildings and affected many people. …”

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…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. …”