Radar Pulse Interleaving For Multi-Target Tracking حسب Elshafei, M.

"…Interleaving algorithms developed to operate radars exploit the dead-times between the transmitted and the received pulses to allocate new tracking tasks that might involve transmitting or receiving pulses, thus increasing the capacity of the system. …"
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

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

الموضوعات:

Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

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Genetic algorithm based test data generator حسب Hermadi, Irman

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Web Based Online Hybrid Teaching Method of Network Music Course حسب Abu Zitar, Raed

"…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
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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. …"

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

"…Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. …"
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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator حسب unknown

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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach حسب unknown

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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…In many cases, several radars are collectively used to track drones efficiently, generating measurements and several tracks under different circumstances. …"
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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

الموضوعات:

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

الموضوعات: "…Data clustering…"

An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems حسب Boukhari, Bahia

"…Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.…"
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Three-phase approach for curriculum-based course timetabling problem. (c2012) حسب Jazzar, Hanaa Salem El-

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Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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Allocating data to distributed-memory multiprocessors by genetic algorithms حسب Mansour, Nashat

"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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