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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Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…In the review, we compare conventional methods such as statistical modeling and custom algorithms with the emerging AI-based approaches. …"

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. …"
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Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

"…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"

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. …"

Face Flow: Constrained Optical Flow Framework for Faces حسب Alkaddour, Muhannad

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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling حسب Armin, Amindari

"…Fluid-structure interaction (FSI) modeling is adapted in these models to account for counter-interacting forces of flowing blood and deforming leaflets for most accurate results. However, implementation of this approach is difficult using custom built codes and algorithms. …"
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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling حسب Amindari, Armin

"…Fluid-structure interaction (FSI) modeling is adapted in these models to account for counter-interacting forces of flowing blood and deforming leaflets for most accurate results. However, implementation of this approach is difficult using custom built codes and algorithms. …"
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An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks حسب Md Moktadir Rahman (16904751)

"…However, the main barriers of DR implementation are the complexities of controlling a large number and different types of residential loads, satisfying customers’ preferences and providing them fair incentives while identifying the optimum DR implementation locations and sizing as well as cooperating with the existing network equipment for the effective voltage management in the networks. …"

Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

"…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"

A quadratic kernel for 3-set packing حسب Abu-Khzam, Faisal N.

"…Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …"
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Evaluating Parallel Simulated Evolution Strategies for VLSI Cell Placement حسب Sait, Sadiq M.

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An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services حسب ALBARGHOTHI, ALI BAHA’EDDIN

"…In the second stage, an Arabic QA approach is implemented to answer user questions relevant to e-government services. …"
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Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

"…This research highlights the ability of AI to develop adaptable, effective, and successful e-learning environments, promoting enhanced academic achievement and customized learning experiences. The findings demonstrate that CNN outperformed other deep learning and machine learning algorithms in terms of accuracy during the prediction phase, showcasing the advanced capabilities of AI in educational contexts. …"

THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar حسب M. Walid Qoronfleh (14153088)

"…Recent scientific breakthroughs and technological advancements have improved our disease knowledge and altered diagnosis and treatment approaches resulting in a more precise, predictive, preventative and personalized health care that is customized for the individual patient. Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …"