Search Results - (( data processing problems algorithm ) OR ( java applications bees algorithm ))
Search alternatives:
- java applications »
- applications bees »
- bees algorithm »
- processing »
- problems »
-
1
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…Problem of the size of data happen when data cannot be process because of it too complex. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
2
Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…In addition, GA has the limitation on generalization which causes the problem of overfitting to the training data. Therefore a correlation-based filtering algorithm is embedded into GA feature selection to solve the over-fitting problem and increase the adaptability of the diagnostic scheme to unpredictable input data. …”
Get full text
Get full text
Get full text
Thesis -
3
Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…Evolutionary multi-objective algorithms are considered as good candidate for solving multi-objective optimization problems and have been applied to variety of problems in different areas. …”
Get full text
Get full text
Thesis -
4
An improved pheromone-based kohonen self-organising map in clustering and visualising balanced and imbalanced datasets
Published 2021“…However, similar to other clustering algorithms, this algorithm requires sufficient data for its unsupervised learning process. …”
Get full text
Get full text
Get full text
Article -
5
An Improved Pheromone-Based Kohonen Self- Organising Map in Clustering and Visualising Balanced and Imbalanced Datasets
Published 2021“…However, similar to other clustering algorithms, this algorithm requires sufficient data for its unsupervised learning process. …”
Get full text
Get full text
Get full text
Get full text
Article -
6
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
Get full text
Get full text
Get full text
Thesis -
7
Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System
Published 2023“…Therefore, offloading a massive amount of data from mobile devices to the fog or cloud introduces another problem of delay in choosing the optimal resources for processing the tasks resulting in incurring delay by the resource allocation algorithms. …”
Get full text
Get full text
Thesis -
8
Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…High-performance computer is important because it is implemented in sectors where distributed parallel computing is needed to solve large scientific problems such as storing and processing large amounts of data. …”
Get full text
Get full text
Thesis -
9
WCBP: A new water cycle based back propagation algorithm for data classification
Published 2016“…The back-propagation neural network (BPNN) algorithm performs well on many complex data types but it possess the problem of network stagnancy and local minima. …”
Get full text
Get full text
Article -
10
A partition based feature selection approach for mixed data clustering / Ashish Dutt
Published 2020“…This implies that a pre-processing algorithm has to be enforced first and only then some specific data mining methods can be applied to the problems. …”
Get full text
Get full text
Get full text
Thesis -
11
Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Classification is a process of grouping or placing data into appropriate categories or classes based on specificattributes or features to predict labels or classes of new data based on patternsobserved from previously trained data. …”
Get full text
Get full text
Get full text
Article -
12
A GPU accelerated parallel genetic algorithm for the traveling salesman problem
Published 2024“…The problem was classified as NP-Hard. Several different algorithms were developed to solve the problem; among them, the Genetic Algorithm was used to deal with it. …”
Get full text
Get full text
Get full text
Article -
13
Design of a flexible digital baseband signal processing algorithm
Published 2006“…In this paper, we show how we solved the problem by satisfying several requirements simultaneously: 1) removing loop or complicated algorithm in DBSP functions with flexible DBSP algorithm 2) using DSP-BIOS Scheduling module to increase performance and make sure our sample data are in packed. …”
Get full text
Get full text
Conference or Workshop Item -
14
Review of materialized views selection algorithm for cyber manufacturing
Published 2018“…In this paper, we reveal the criteria of optimisation algorithms that were proposed to deal with MVs selection problem. …”
Get full text
Get full text
Get full text
Article -
15
An enhanced version of black hole algorithm via levy flight for optimization and data lustering problems
Published 2019“…Recently, nature-inspired algorithms have been proposed and utilized for solving the optimization problems in general, and data clustering problem in particular. …”
Get full text
Get full text
Get full text
Article -
16
-
17
A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Black Hole (BH) optimization algorithm has been underlined as a solution for data clustering problems. …”
Get full text
Get full text
Thesis -
18
Monthly rainfall prediction model of Peninsular Malaysia using clonal selection algorithm
Published 2018“…Nowadays, various algorithms inspired by natural processes have been extensively applied in solving engineering problems. …”
Get full text
Get full text
Get full text
Get full text
Article -
19
Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition
Published 2017“…Whereas for supervised learning method, it requires teacher or prior data (i.e. large, prohibitive and labelled training data) during classification process which in real life, the cost of obtaining sufficient labelled training data is high. …”
Get full text
Get full text
Thesis -
20