Recursive Quad-Tree Block Partitioning for Data Embedding in Images by Shanableh, Tamer

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A Two-Tier Post-Processing Framework for Lightweight Video Anomaly Detection by Akhtar, Muhammad Hannan

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First Impressions by Machine: Candidates’ Perceptions of Ethics and Employer Image in AI Recruitment Process by Al Moghrabi, Abdul Rahman

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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…<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. This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…”

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

“…The first block leverages Spatiotemporal Ridgelet Transform (STRT) and Multi-Frame Adaptive Singular Value Decomposition (MF-ASVD) as a dynamic feature refinement process, reducing noise and computational complexity while preserving critical features. …”

Identifying Regional Trends in Avatar Customization by Peter Mawhorter (18602944)

Large-scale annotation dataset for fetal head biometry in ultrasound images by Mahmood Alzubaidi (15740693)

“…It is also compatible with multiple medical imaging software and deep learning frameworks. The reliability of the annotations is verified through a two-step validation process involving a Senior Attending Physician and a Radiologic Technologist. …”

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

“…The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. …”

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

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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures by Khatereh Mohammadi (17309662)

“…<p dir="ltr">In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. …”

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

“…Speckle filtering in synthetic aperture radar (SAR) and polarimetric SAR (PolSAR) images is indispensable before the extraction of the useful information. …”
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COVID-19 infection localization and severity grading from chest X-ray images by Anas M. Tahir (16870077)

“…Although these methods achieved outstanding performance in detection, they have used limited chest X-ray (CXR) repositories for evaluation, usually with a few hundred COVID-19 CXR images only. Thus, such data scarcity prevents reliable evaluation of Deep Learning models with the potential of overfitting. …”

Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing by Zabin, Asem Ahmad

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Variability of blue carbon storage in arid evaporitic environment of two coastal Sabkhas or mudflats by Zulfa Ali Al Disi (13790381)

PIV and CFD investigation of flocculation hydrodynamics. (c2019) by Danageuzian, Hrair Razmig

“…A laboratory scale paddle flocculator was designed and experimentally investigated using particle image velocimetry measurements. Time averaged velocity data of the flow field at a plane perpendicular to the paddle wheel revealed the velocity of water particles surrounding the blades. …”
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Brain microstructural changes support cognitive deficits in HIV uninfected children born to HIV infected mothers by Yadav, Santosh K.

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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography by Mohammed Yaqoob (344668)

“…<p dir="ltr">Morphological characterization of microcrystalline rock textures typically relies upon the visual interpretation and manual measurement of scanning electron microscopy (SEM) imagery: a practice fraught with subjectivity, inefficiency, sampling bias, and data loss. We introduce a state-of-the-art computer vision pipeline, built on deep learning architectures, for segmenting and classifying individual microcrystals from SEM images. …”

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

“…For cases in which Ornge air services and land ambulance medical transport were both involved in a patient transport process, data were merged and time intervals of the transport journey were determined. …”

Exploring Emirati EL teachers' beliefs about teaching and their relationship to classroom practices: a hermeneutic study by Valenzuela, Jacqueline Soledad

“…To approach this research inquiry, a qualitative paradigm based on Gadamerian hermeneutics was adopted. The data-gathering process consisted of semi-structured interviews and classroom observations. …”
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From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

“…In the proposed method, the chaotic variables are governed by cryptographic keys, crucial in generating data sequences. These sequences are then utilized within the diffusion and confusion structures of the hashing function. …”