Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing حسب Al Sadawi, Alia

"…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …"
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Stochastic Search Algorithms for Exam Scheduling حسب Mansour, Nashat

"…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …"
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Three-phase approach for curriculum-based course timetabling problem. (c2012) حسب Jazzar, Hanaa Salem El-

الموضوعات: "…Scheduling -- Data processing…"
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Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center حسب Kandil, Ayman

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Three-phase simulated annealing algorithms for exam scheduling حسب Mansour, Nashat

"…We empirically compare 3PSA with a 4-phase clustering-based heuristic algorithm using realistic data. Our experimental results show that 3PSA produces good exam schedules, which are better than those of the clustering heuristic procedure.…"
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Simulated annealing and genetic algorithms for exam scheduling. (c1997) حسب Tarhini, Abbas A.

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A Scatter search algorithm for exam scheduling. (c2006) حسب Isahakian, Vatche Raffi

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Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning حسب Zulfiqar Ali (117651)

الموضوعات:

Optimizing Energy Consumption of Cloud Computing IaaS حسب Mohamed, Huda Ibrahim

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

"…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. To overcome issues of feature extraction and multi-modal fusion, hybrid fuzzy-evolutionary computation methodologies are employed to demonstrate ultra-strong capability of learning features and dimensionality reduction. …"
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Estimating Vehicle State by GPS/IMU Fusion with Vehicle Dynamics حسب Saadeddin, Kamal Mohamad

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

الموضوعات:

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

"…The solution obtained shows that the proposed scheduling algorithm meets the communication system's requirements while conserving power and energy resources.…"

Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment حسب Omer, Dalia Fatahelrahman

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Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

MoveSchedule حسب Zouein, Pierette

"…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…"
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Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Low-Cost Reduced Navigation System for Mobile Robot in Indoor/Outdoor Environments حسب Al Khatib, Ehab

"…For the outdoor environment, the Extended Kalman Filter (EKF) is used to estimate the robot position and orientation, the system consists of wheel encoders, a reduced inertial sensor system (RISS), and a Global Positioning System (GPS). …"
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