Oversampling techniques for imbalanced data in regression by 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 by 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 by 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 by 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 by 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 by Shahid Rahman (16904613)

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review by 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. …”

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

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

A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets by 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. …”

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

Short-term outcomes of anterior cruciate ligament reconstruction with or without lateral tenodesis or anterolateral ligament reconstruction: a retrospective cohort by 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 by Aftab Hussain (1385985)

Image Steganography: A Review of the Recent Advances by Nandhini Subramanian (16896453)

Monitoring Poverty in a Data-Deprived Environment: The Case of Lebanon by Makdissi, Paul

“…We apply a novel data augmentation technique to analyze poverty when traditional income data are limited or unavailable. …”
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Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System by Maziad, Hussein

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Polarimetric SAR Image Filtering by Infinite Number of Looks Prediction Technique by Yahia, Mohamed

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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

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Taxonomic discordance of immersive realities in dentistry: A systematic scoping review by Khaled Q. Al Hamad (21768251)

“…Descriptions of immersive realities were fragmented and inconsistent with lack of clear taxonomy framework for the umbrella and the subset terms including virtual reality (VR), augmented reality (AR), mixed reality (MR), augmented virtuality (AV), extended reality, and X reality. …”

An Integrated Model For Examining The Intention To Use The Metaverse In Higher Education Through The SEM-ANN Approach by ABOUSHARKH, INAS WAHID

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