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)

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. …"
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Simulated Annealing and Genetic Algorithms for Optimal Regression Testing حسب Mansour, Nashat

"…The experimental results, which include a comparison with previous algorithms, show that the simulated annealing and genetic algorithms find the optimal or near-optimal number of retests within a reasonable time. …"
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) حسب Wehbe, Gioia Wahib

"…Aiming to tackle these obstacles, we have derived a new computational method in order to identify conserved regions of Single Nucleotide Polymorphisms (SNPs) on autosomal chromosomes that are differentiable in different populations. Our algorithm first performs a feature selection step to define differentiable SNPs. …"
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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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Test case generation for path coverage. (c2000) حسب Salame, Miran

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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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

"…The objective of this study is to investigate the effects of temperature, the area of the contact point, and the operator on the tensile test of brass samples. 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). …"

Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines حسب Haddad, Abdul Rahim

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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter حسب Al-Omari, Muhannad A. R. I.

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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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Data Generation for Path Testing حسب Mansour, Nashat

"…We present two stochastic search algorithms for generating test cases that execute specified paths in a program. …"
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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation حسب Abualigah, Laith

"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…The proposed method, existing weighted clustering algorithm (WCA), and agent-based secure enhanced performance approach (AB-SEP) are tested over the network dataset. …"

Incremental Genetic Algorithm حسب Mansour, Nashat

"…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
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