Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
testing algorithm » cosine algorithm (Expand Search)
data testing » data using (Expand Search)
element » elements (Expand Search)
mould » could (Expand Search), would (Expand Search), mold (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
testing algorithm » cosine algorithm (Expand Search)
data testing » data using (Expand Search)
element » elements (Expand Search)
mould » could (Expand Search), would (Expand Search), mold (Expand Search)
-
1
-
2
Web Applications Security Testing: Genetic Algorithms Based Test Data Generator
Published 2020Get full text
masterThesis -
3
-
4
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …”
-
5
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
Published 2023“…Algorithms were tested using the test power system IEEE39. …”
Get full text
article -
6
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. …”
Get full text
Get full text
Get full text
masterThesis -
7
Security testing and evaluation of cryptography algorithms. (c2003)
Published 2003Get full text
Get full text
masterThesis -
8
A genetic algorithm for corrective retesting. (c1995)
Published 1995Subjects: Get full text
Get full text
masterThesis -
9
Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
Published 2020Get full text
masterThesis -
10
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). …”
Get full text
article -
11
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
-
12
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”
-
13
-
14
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
Published 2021“…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …”
-
15
Automating UML Models Refactoring using Search-Based Algorithms
Published 2020Get full text
masterThesis -
16
A genetic-based algorithm for fuzzy unit commitment model
Published 2000“…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …”
Get full text
Get full text
article -
17
Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023Subjects: Get full text
-
18
GenDE: A CRF-Based Data Extractor
Published 2020“…Web site schema detection and data extraction from the Deep Web have been studied a lot. …”
Get full text
Get full text
-
19
Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
Published 2024Get full text
doctoralThesis -
20
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
Get full text
masterThesis