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)

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

"…This paper presents two different methods for track-to-track fusion of drone tracks. The sensors are unbiased radars with fixed locations. …"
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

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Robust design of multimachine power system stabilisers using tabusearch algorithm حسب Abido, M.A.

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Design of PSS and STATCOM-based damping stabilizers using genetic algorithms حسب Abido, M.A.

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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization حسب Aly, Islam Adel Helmy

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Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms حسب Abdel-Magid, Y. L.

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ADAPTIVE ALGORITHMS FOR CHANNEL ESTIMATION: USING A PRIORI INFORMATION FOR OPTIMUM DESIGN حسب Sohail, Muhammad Saqib

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Optimal multiobjective design of robust power system stabilizers using genetic algorithms حسب Abdel-Magid, Y.L.

"…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …"
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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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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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Tensile Test Optimization Using the Design of Experiment and Soft Computing حسب Mehdi Moayyedian (14880358)

An incremental approach for test synthesis and scheduling using genetic algorithms. (c2002) حسب Hajar, Aouni

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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …"
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