Search Results - (( simulation optimization method algorithm ) OR ( data classification matching algorithm ))
Search alternatives:
- classification matching »
- data classification »
- method algorithm »
-
1
Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
Published 2023“…High dimensionality in data sets is one of the challenges faced in classification, data mining, and sentiment analysis. …”
Get full text
Get full text
Get full text
Article -
2
Trademark image classification approaches using neural network and rough set theory
Published 2003“…The approaches contain five major stages, namely: image acquisition, image preprocessing, feature extraction, data transformation and classification. Feature normalization and data discretization techniques are utilized to perform the data transformation phase. …”
Get full text
Get full text
Get full text
Thesis -
3
Converged Classification Network For Matching Cost Computation
Published 2020“…The stereo matching algorithm capable of producing the disparity or depth map in computer. …”
Get full text
Get full text
Get full text
Article -
4
Training data selection for record linkage classification
Published 2023“…The top and imbalanced construction was found to be the most effective in producing training data with 100% correct labels. Random forest and support vector machine classification algorithms were compared, and random forest with the top and imbalanced construction produced an F1 -score comparable to probabilistic record linkage using the expectation maximisation algorithm and EpiLink. …”
Get full text
Get full text
Get full text
Get full text
Article -
5
A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…Rough sets theory represents a mathematical approach to vagueness and uncertainty. Data analysis, data reduction, approxi mate classification, machine learning, and discovery of pattern in data are functions performed by a rough sets analysis. …”
Get full text
Get full text
Thesis -
6
An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity
Published 2018“…Algorithms of investigation starting with span from extraction, matching and classification to determine the interest point of flower species, like colour and shape features information. …”
Get full text
Get full text
Proceeding -
7
Optimization of turning parameters using genetic algorithm method
Published 2008“…The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation.…”
Get full text
Get full text
Undergraduates Project Papers -
8
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…This thesis proposes and simulates the three novel optimization algorithms to handle DG allocation, different single-objective, and multi-objective OPF problems. …”
Get full text
Get full text
Thesis -
9
A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…An example of a numerical algorithm is the simulated Kalman filter (SKF). Various method has been introduced as an extension of a numerical algorithm to adapt it to a discrete search space. …”
Get full text
Get full text
Thesis -
10
-
11
Route optimization using shortest path method / Muhamad Faisal Amin Shakri
Published 2025“…Therefore, the effectiveness of route planning is very essential. The method to study route optimization is called shortest path method. …”
Get full text
Get full text
Thesis -
12
Non-fiducial based electrocardiogram biometrics with kernel methods
Published 2017“…The lowest biometric errors of false non-match rate and false match rate are decreased to about 6.19% and 1.79%, respectively on the KPCA data set.…”
Get full text
Get full text
Thesis -
13
Improved particle swarm optimization by fast annealing algorithm
Published 2019“…We also apply the algorithm in clustering problem, and the results shows that the proposed method has better accuracy than the optimization methods.…”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
14
Asynchronous simulated kalman filter optimization algorithm
Published 2018“…Simulated Kalman filter (SKF) is an optimization algorithm which is inspired by Kalman filtering method. …”
Get full text
Get full text
Get full text
Get full text
Article -
15
A comparative study in classification techniques for unsupervised record linkage model
Published 2011“…In order to utilize the supervised classification algorithms without consuming a lot of time for labeling data manually, a two step method which selects the training data automatically has been proposed in previous studies. …”
Get full text
Get full text
Get full text
Article -
16
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
Get full text
Get full text
Thesis -
17
Optimization of milling parameters using ant colony optimization
Published 2008“…The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.…”
Get full text
Get full text
Undergraduates Project Papers -
18
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Genetic Algorithm as population-based methods are better identifying promising areas in the search space, while Tabu Search and Simulated Annealing as trajectory methods are better in exploring promising areas in search space. …”
Get full text
Get full text
Monograph -
19
Simulated Kalman Filter optimization algorithm for maximization of wireless sensor networks coverage
Published 2019“…Simulated Kalman Filter (SKF) is a population based optimization algorithm inspired by the Kalman filtering method. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system
Published 2018“…This paper reports the first attempt to tune gain values in proportional-integral-derivative (PID) controllers using an optimizer called simulated Kalman filter (SKF) algorithm. …”
Get full text
Get full text
Conference or Workshop Item
