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

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

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Intelligent Fusion of Deep Features for Improved Waste Classification حسب Kashif Ahmad (12592762)

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

"…First after preprocessing input images, the whole feature space (population) is built using a multimodal feature representation technique. Second, a feature level fusion approach is used to combine the features. …"

Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

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Collision-Free Autonomous Navigation Solution for Mobile Wheeled حسب Elsergany, Ahmed Moataz Mahmoud

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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

"…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. Different classifiers were trained, validated, and tested for two different classification experiments - personalized and generalized. …"

Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning حسب Amer, Hala Nagi

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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

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Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles حسب Warren, Thomas

"…In this paper a forcing function which is derived from a spherical-cavity expansion (SCE) analysis has been implemented in a transient dynamic finite element code. This implementation is capable of computing the structural and component responses of a projectile due to a three dimensional penetration event. …"
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Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. …"
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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems حسب Shehabeldin, Menatalla Diaaeldin

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Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

"…This dissertation explores the fusion of Artificial Intelligence (AI) techniques with the obtained xAPI data. …"
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Regression testing C# programs. (c2007) حسب Staitieh, Wael

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Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array حسب Amran Hossain (570706)

"…The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. One 1 × 4 MTM array element is used in the top layer and middle layer, and one 3 × 2 MTM array element is used in the bottom layer. …"

Approximate XML structure validation technical report حسب Tekli, Joe

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Identification And Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study حسب El-Ferik, S

"…An online maximum likelihood based-identification algorithm is developed. The required hardware and system instrumentation are detailed. …"
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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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