CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

"…This study proposes a novel solution for the detection of keyframes for static video summarization. …"
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MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب Sui Paul Ang (18460605)

Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

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Robust Histogram Signature-Driven Template Matching for Vehicle Tracking in Traffic Videos حسب Rababaah, Aaron Rasheed

"…Correlation-based template matching (CTM) is widely used for object detection because of its simplicity and effectiveness in scenarios where grayscale features are sufficient. …"
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Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…Therefore, this study aims to evaluate several versions of Recurrent Neural Networks (RNNs) and Feedforward Neural Networks (FNNs) for detecting cyberbullying in the Arabic language. Although these algorithms are widely used in text classification and outperform the performance of classical classifiers, many have been extensively investigated in other domains such as sentiment analysis and dialect identification, as well as cyberbullying detection in English text. …"
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Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis حسب Naeem, Shahzeb

"…Using a pose/style transfer model, we pay close attention to detail, ensuring hand movements are accurate and align with the driving video. We also apply machine learning algorithms to establish a baseline for deepfake detection on this dataset, contributing to the detection of fraudulent sign language videos.…"
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FPGA-based Parallel Hardware Architecture for Real-time Object Classification حسب Qasaimeh, Murad Mohammad

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Nu—A Marine Life Monitoring and Exploration Submarine System حسب AlGohary, Abdullah

"…Nu’s functionality was evaluated in a controlled 2.5-m-deep body of water, focusing on connectivity, maneuverability, and fish identification accuracy. The fish detection algorithm achieved an average precision of 60% in identifying fish presence, while the classification model achieved 97% precision in assigning species labels, with unknown species flagged correctly. …"
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Crowd CTRL: Social Distancing Drone Based System حسب Al Musallam, Rawan

"…Concepts of Deep Learning and object detection algorithms are utilized for our system. Furthermore, the project will be cloud based, meaning processing will take place on the cloud instead of locally. …"
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A Novel Skin-Inspired Model for Intelligent Object Recognition in Sensor Networks حسب Rababaah, Aaron

"…Extensive research work has been conducted in the area of wireless sensor networks with high concentration on target detection or/and tracking. Although, there are some works that are dedicated to target classification, but the considered sensor modalities require inexpensive hardware and complex algorithms such as video, audio, radar, infrared, etc. …"
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Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models حسب EZZELDIN, KHALED MOHAMED KHALED

"…Dialect Speech Sentiment Analysis is an evolutional field where machine learning algorithms are utilized to detect emotions in spoken language. …"
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