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. …”

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

“…Thus, we develop a new variant of the AOA, namely, Augmented AOA (AAOA), integrated with the opposition-based learning (OLB) and Lévy flight (LF) distribution. …”

The use of generative adversarial networks in medical image augmentation by Ahmed Makhlouf (17632179)

Embodied learning of science concepts through augmented reality technology by Nasser Mansour (17541822)

“…<p dir="ltr">Augmented Reality (AR) revolutionizes educational approaches by providing an immersive experience that superimposes virtual 3D elements onto the physical environment. …”

Augmented Reality for Learning of Children and Adolescents With Autism Spectrum Disorder (ASD): A Systematic Review by Kamran Khowaja (773300)

“…Almost all the studies used observation as a data collection method, and classroom environment or controlled research environment were used as a setting of evaluation. …”

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review by Hazrat Ali (421019)

“…<h3>Background</h3><p dir="ltr">Research on the diagnosis of COVID-19 using lung images is limited by the scarcity of imaging data. Generative adversarial networks (GANs) are popular for synthesis and data augmentation. …”

Pathways to learning: exploring the impact of augmented reality on vocabulary development in children with autism spectrum disorder by Mariam Bahameish (19255789)

“…<p dir="ltr">Augmented reality (AR) technology has shown promise in facilitating vocabulary learning for children with autism spectrum disorder (ASD). …”

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

The role of generative adversarial networks in brain MRI: a scoping review by Hazrat Ali (421019)

“…The included studies showed that GANs could enhance the performance of AI methods used on brain MRI imaging data. However, more efforts are needed to transform the GANs-based methods in clinical applications.…”

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

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

Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform by Hamed Al-Shaibani (19497412)

“…In addition to anonymity and unlinkability characteristics, the proposed framework is augmented with traceability and non-repudiation features. …”

Unsupervised Topical Organization of Documents using Corpus-based Text Analysis by Sarkissian, Sarkis

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

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

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. …”

Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System by M. Sajid (3070545)

A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory by Mehdi Asadi (12566741)

Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

“…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …”
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

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