Tensile Test Optimization Using the Design of Experiment and Soft Computing حسب Mehdi Moayyedian (14880358)

"…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …"

Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines حسب Ali, Mustafa

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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

"…Moreover, various standard drift related experiments are conducted, of which the results validate our proposed algorithm's superior robustness for the wide range of real-life applications.…"

Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

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A method for test scheduling using an evolutionary approach. (c2000) حسب Noujaim, Jad

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms حسب Harmanani, H. M.

"…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …"
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An incremental approach for test scheduling and synthesis using genetic algorithms حسب Harmanani, H.

"…This paper presents a new and an efficient method for concurrent BIST synthesis and test scheduling. This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. …"
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An incremental approach for test synthesis and scheduling using genetic algorithms. (c2002) حسب Hajar, Aouni

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A hybrid distributed test generation method using deterministic and genetic algorithms حسب Harmanani, H.

"…The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. …"
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Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …"
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Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem حسب Denis Alicic (23073484)

"…<p dir="ltr">This paper addresses the Two-Stage Capacitated Facility Location Problem (TSCFLP), a challenging optimization problem with significant applications in supply chain network design. …"

Empirical comparison of regression test selection algorithms حسب Mansour, Nashat

"…The empirical results show that the five algorithms can be used for different requirements of regression testing. …"
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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

"…The optimal regression testing problem is that of determining the minimum number of test cases needed for revalidating modified software in the maintenance phase. The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …"
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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

"…Different classifiers were trained, validated, and tested for two different classification experiments - personalized and generalized. …"

Test case generation for path coverage. (c2000) حسب Salame, Miran

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A comparative study of five regression testing algorithms حسب Mansour, N.

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Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

"…Experiments with benchmark tests demonstrate a noticeable improvement in solution quality. …"
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