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

“…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …”

Decision-level fusion for single-view gait recognition with various carrying and clothing conditions by Al-Tayyan, Amer

“…Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. …”
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Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

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License plate recognition system by Ahmed, M.J.

“…The system presents an algorithm for the extraction of license plate and segmentation of characters. …”
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Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system by Ali Farhat (1461478)

“…<p>Automatic number plate recognition (ANPR) systems are becoming vital for safety and security purposes. …”

A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) by Bey, Hisham Mardam

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Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

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FPGA-based Parallel Hardware Architecture for Real-time Object Classification by Qasaimeh, Murad Mohammad

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YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images by Prabu Selvam (22330264)

Developing a framework for using face recognition in transit payment transactions by HABEH, ORABI MOHAMMAD ABDULLAH

“…The proposed framework involves the hardware, software, algorithms, and system specification requirements. Further, it provides a detailed end-to-end systems integration and transaction flow between the account-based ticketing, face recognition, and banking systems. …”
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Gesture-based Graph-theoretic Robot Formation Control by Sajid, Mahroo

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A novel linear time corner detection algorithm by Sarfraz, M.

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Decision-level Gait Fusion for Human Identification at a Distance by Al-Tayyan, Amer

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Semi-supervised Clustering of Facial Expressions by Jalal, Ahsan

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A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks by Deriche, Mohamed

“…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …”
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Lung nodule classification utilizing support vector machines by Mousa, W.A.H.

“…Many methods have been proposed in the literature such as neural network algorithms. Recently, support vector machines (SVMs) had received increasing attention for pattern recognition. …”
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A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

“…The main aim of this paper is to map the relationship between teaching practices and student learning based on emotional impact. Facial recognition algorithms extract helpful information from online platforms as image classification techniques are applied to detect the emotions of student and/or teacher faces. …”
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Color edge enhancement based fuzzy segmentation of license plates by Syed, Y.A.

“…The area of automatic license plate recognition (ALPR) offers a big scope in numerous applications and a lot of techniques have been proposed. …”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …”

DASSI: differential architecture search for splice identification from DNA sequences by Shabir Moosa (14153316)

“…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …”