A Deep Learning Model for Identifying and Analyzing Sarcasm and Emotions in Lebanese Arabizi from Instagram and Twitter Data حسب Rachid, Jinan

"…The word embeddings were then input into a Bidirectional Long Short-Term Memory (BiLSTM) model for emotion recognition. …"
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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures حسب Khatereh Mohammadi (17309662)

"…These results underscore the efficacy of these novel architectures in improving image quality and advancing image processing techniques, particularly in scenarios requiring heightened resolution and noise reduction.…"

Text-to-picture tools, systems, and approaches: a survey حسب Jezia Zakraoui (14151399)

"…We also compared these systems based on a set of criteria, mainly natural language processing, natural language understanding, and input/output modalities. …"

Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

"…Further, less processing is required as the image is recognized 9460 events earlier, which is 37% less than waiting for the first perfectly recognized image. …"

Design and Implementation of a Microwave Imaging System for Biomedical Application حسب Zaatar, Omar

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Wireless Capsule Endoscopy Image Classification: An Explainable AI Approach حسب Varam, Dara

"…Deep Learning has contributed significantly to the advances made in the fields of Medical Imaging and Computer Aided Diagnosis (CAD). Although a variety of Deep Learning (DL) models exist for the purposes of image classification in the medical domain, more analysis needs to be conducted on their decision-making processes. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements حسب Yassine Toufique (8252550)

"…Alternatives to derive the blood time-activity curve (BTAC) non-invasively are either reliant on large vessels in the field of view or are laborious to implement and analyze as well as being prone to many processing errors. An alternative method is proposed in this work by the simulation of a non-invasive coincidence detection unit.…"

A decentralized load balancing strategy for parallel search-three optimization. (c2010) حسب Mouawad, Amer E.

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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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A novel pulse-echo technique for medical three-dimensional imaging حسب Yamani, A.

"…In addition, the scanned frequencies of the transmitted CW signals are sent simultaneously in a pulse that is used for the data acquisition and processing. The pulse-echo nature of this technique makes it a candidate for further development and evaluation for ultrasonic three-dimensional (3-D) medical imaging and nondestructive testing. …"
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Low-Light Homomorphic Filtering Network for integrating image enhancement and classification حسب Al Sobbahi, Rayan

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A novel approach for skew estimation of document images in OCR system حسب Sarfraz, M.

"…There have been many stages in a typical OCR system, preprocessing stage in considered to be indispensable. An input image or information need to be normalized and converted into format acceptable by OCR system. …"
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Three-dimensional imaging using a new synthetic aperture focusingtechnique حسب Yamani, A.

"…While the focusing capabilities of the MF-AFT are maintained, substantial reduction in data processing is obtained when the new procedure is used. …"
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Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection حسب Hadid, Abdenour

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Demo of the SICOS tool for social image cluster-based organization and search حسب Ayoub, Issa

"…The system consists of modular components for: i) feature extraction and representation (low-level and high-level), ii) partitional image clustering (initial clustering phase executed when the user first connects to the system), iii) incremental clustering (updating clusters produces in the previous phase by processing newly published images), iv) fast image querying (using features of cluster representatives), and v) personalized images and search results visualization (using various user-chosen cluster display techniques). …"
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Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

"…It was found that it has a higher probability to diverge when used with nonGaussian and nonLaplacian image sources such as angiogram images. By employing competitive learning neural network in the codebook design process, we tried to obtain a stable and convergent algorithm. …"
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Image coding using entropy-constrained reflected residual vector quantization حسب Khan, M.A.U.

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Digital radiography image quality evaluation using various phantoms and software حسب Ioannis A. Tsalafoutas (14776939)

"…<h3>Purpose</h3><p dir="ltr">To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation.…"

Classification and segmentation of kidney MRI images for chronic kidney disease detection حسب Md. Sakib Bin Islam (20494559)

"…The network shows remarkable performance in medical diagnosis and treatment planning, with an Intersection over Union (IoU) of 82.34% and DS of 91.57% when integrated with the Contrast Limited Adaptive Histogram Equalization (CLAHE) preprocessing technique and Simultaneous truth and performance level estimation (STAPLE) as post processing technique. In summary, deep learning-driven kidney MRI image classification and segmentation enhance medical imaging analysis, potentially aiding in early CKD diagnosis and treatment, thereby addressing critical public health concerns, and enhancing patient outcomes.…"