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modeling algorithm » scheduling algorithm (Expand Search)
testing algorithm » cosine algorithm (Expand Search)
data testing » data using (Expand Search)
mould » could (Expand Search), would (Expand Search), mold (Expand Search)
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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator
Published 2020Get full text
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Security testing and evaluation of cryptography algorithms. (c2003)
Published 2003Get full text
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A genetic algorithm for corrective retesting. (c1995)
Published 1995Subjects: Get full text
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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
Published 2020Get full text
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
Published 2025Subjects: -
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A genetic algorithm for testable data path synthesis
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A machine learning model for early detection of diabetic foot using thermogram images
Published 2021“…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …”
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Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits
Published 2003“…Testing system-on-chips involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the chip under test during test application. …”
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
Published 2025Subjects: “…Adagrad optimization algorithm…”
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. These are simulated annealing, genetic algorithms and neural networks. …”
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LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Get full text
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