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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An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems حسب Habchi, W.

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Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

"…Therefore, we designed a dedicated two-stage strategy, inspired by the CPR algorithm, where a block preconditioner is used for the pressure part with the aim at exploiting the inner $$2\times 2$$ 2 × 2 structure. …"

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

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The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

"…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …"

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. …"

Socially Motivated Approach to Simulate Negotiation Process حسب Hammadih, Mohammed Zaher

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

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Correlation Clustering with Overlaps حسب Fakhereldine, Amin

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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems حسب Shehabeldin, Menatalla Diaaeldin

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Communications in electronic textile systems حسب Nakad, Z.

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Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

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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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A survey and comparison of wormhole routing techniques in a meshnetworks حسب Al-Tawil, K.M.

"…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …"
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Structural similarity evaluation between XML documents and DTDs حسب Tekli, J.

"…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …"
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Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants حسب Surbhi Choudhary (21633701)

"…Besides this, the findings reclaim that “reasons” (for/against) shape to form the attitude of consumers toward voice assistants. The current research offers preliminary evidence with regard to the investigation of voice assistant adoption using the BRT that jointly examines enabling and inhibiting elements leading to consumers’ attitude formation. …"