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testing algorithm » cosine algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
tracking » training (Expand Search), taking (Expand Search)
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Radar Pulse Interleaving For Multi-Target Tracking
Published 2020“…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
Published 2023Subjects: Get full text
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Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…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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Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…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
Published 2024“…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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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator
Published 2020Get full text
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Efficient static test compaction algorithms for combinational circuits based on test relaxation
Published 2003Get full text
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Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits
Published 2003“…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
Published 2024“…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
Published 2017Subjects: “…Model Based Testing…”
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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
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Empirical comparison of regression test selection algorithms
Published 2001“…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
Published 1997“…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
Published 2023“…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
Published 1997“…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
Published 1999“…The algorithms are based on an integer programming problem formulation and the program’s control flow graph. …”
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