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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Genetic algorithm based test data generator حسب Hermadi, Irman

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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators حسب Al-Hamouz, Z.M.

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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …"
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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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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator حسب unknown

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Efficient static test compaction algorithms for combinational circuits based on test relaxation حسب Osais, Yahya Esmail

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

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Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits حسب El-Maleh, Aiman H.

"…In this paper, a new approach to static compaction for combinational circuits, referred to as test vector decomposition (TVD), is proposed. In addition, two new TVD based static compaction algorithms are presented. …"
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…The goal is to find a sensor or minimum set of sensors that would be enough to generate high-quality tracking based on optimum resource allocation. In the experimentation simulated with Stone Soup, one radar among five radars is selected at every time step of 50-time steps for 200 tracks distributed over 20 different ground truths. …"
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

الموضوعات: "…Model Based Testing…"
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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach حسب unknown

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Empirical comparison of regression test selection algorithms حسب Mansour, Nashat

"…In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …"
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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

"…The algorithms are based on an integer programming problem formulation and the program's control-flow graph. …"
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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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A comparative study of five regression testing algorithms حسب Mansour, N.

"…We compare five regression testing algorithms that include: slicing, incremental, firewall, genetic and simulated annealing algorithms. …"
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Simulated Annealing and Genetic Algorithms for Optimal Regression Testing حسب Mansour, Nashat

"…The algorithms are based on an integer programming problem formulation and the program’s control flow graph. …"
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