Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

"…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …"

On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

"…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"

Secrecy Performance of Decode-and-Forward Based Hybrid RF/VLC Relaying Systems حسب Jaber Al-Khori (16855470)

DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications حسب Danya A. Saifaldeen (19498705)

"…To address this complexity optimally, we propose a deep reinforcement learning (DRL) approach based on the deep deterministic policy gradient (DDPG) technique. …"

Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers حسب Tarhini, Abbas

"…The results indicate that the solution selected by the Cuckoo Search-based hyper-heuristic outperformed the modified Clarke Wright algorithm while taking into consideration the customers’ priority and demands and the vehicle capacity.…"
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Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…Our proposed framework consists of two essential steps: establishing a correlation between IL viscosity and CO₂ solubility by merging two deep learning models (DNN-GC and ANN-GC) and utilizing this correlation to identify the optimal IL structure with maximal CO₂ absorption capacity. …"

A new bi-objective model of the urban public transportation hub network design under uncertainty حسب Firoozeh Kaveh (14150877)

"…For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. …"

Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013) حسب Hilal, Nathalie

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Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework حسب Abu Farha, Yazan Mahmoud

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Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

"…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …"
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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review حسب Chakraborty, Sanjoy

"…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …"
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Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

"…The optimal bounds for the embedding capacity are derived using a statistical model for balanced multiwavelet coefficients of the host image. …"
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Scatter search technique for exam timetabling حسب Mansour, Nashat

"…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…"
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3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019) حسب Islambouli, Rania

"…This being said, computation tasks generated by IoT devices can be pro- cessed in less latency and with much lower energy consumption at the devices. To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …"
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