Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"

KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…To overcome these problems, this article proposes an advanced algorithm by studying the compactness and location of the minority class relative to other classes. The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …"

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS حسب Khan, Malik Nasir Afzal

"…Notably, after augmenting the data with DCGAN, the classification accuracy increases dramatically to 96%. …"
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K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

"…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …"

GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review حسب Md. Sulyman Islam Sifat (22928983)

"…In this work, we conduct a literature review to systematically examine GAN-based data augmentation techniques for fault diagnosis and prognosis of rolling bearings. …"

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

Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem حسب Assaker, Guy

"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
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Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review حسب Hazrat Ali (421019)

"…</p><h3>Results</h3><p dir="ltr">This review included 57 full-text studies that reported the use of GANs for different applications in COVID-19 lung imaging data. Most of the studies (n=42, 74%) used GANs for data augmentation to enhance the performance of AI techniques for COVID-19 diagnosis. …"

A Novel Technique to Diagnose Sleep Apnea in Suspected Patients Using Their ECG Data حسب Syeda Quratulain Ali (16855431)

"…Probability density functions of data, both when Apnea is present and when it is not, are obtained by constructing histograms of decision variable for each signal segment. …"

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? حسب Ahmed Soliman (4591621)

Detection of central serous retinopathy using deep learning through retinal images حسب Syed Ale Hassan (17785655)

Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation حسب Alhusari, Khaldoon

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A systematic literature review on contemporary and future trends in virtual machine scheduling techniques in cloud and multi-access computing حسب Nadim Rana (11424583)

A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets حسب Insaf Kraidia (19198012)

"…To support this methodology, we curated large-scale, high-quality datasets comprising 7,000 Arabic and 28,000 English tweets, applying tailored preprocessing steps to ensure efficiency and accuracy. A novel data augmentation technique further enriched the quality and diversity of these datasets. …"

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization حسب Tawsifur Rahman (14150523)

"…In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …"

A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture حسب Jalal Uddin Md Akbar (21324617)

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

Short-term outcomes of anterior cruciate ligament reconstruction with or without lateral tenodesis or anterolateral ligament reconstruction: a retrospective cohort حسب Ashraf T. Hantouly (14150319)

"…</p><h3>Methods</h3><p dir="ltr">A retrospective cohort of prospectively collected data on all ACL procedures was performed at Aspetar Specialized Orthopaedic and Sports Medicine Hospital between January 2020 and January 2021. …"

An Attention-Based ResNet Architecture for Acute Hemorrhage Detection and Classification: Toward a Health 4.0 Digital Twin Study حسب Aftab Hussain (1385985)

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss حسب Najmath Ottakath (17430912)

"…Notably, 89.4% dice coefficient index and 80.85% IoU, with data augmentation. The source code for the functions discussed in this paper will be available at https://github.com/Vlabgit/MSEUnet.git.…"