Search Results - (( data implication optimization algorithm ) OR ( java application among algorithm ))
Search alternatives:
- implication optimization »
- application among »
- data implication »
- java application »
- among algorithm »
-
1
-
2
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
3
Modified Harris Hawks Optimization Algorithm For Protein Multiple Sequence Alignment
Published 2024“…A notable entrant in this domain is the harris hawks optimization (hho) algorithm, which has distinguished itself through published optimization outcomes, positioning it as a formidable competitor among state-of-the-art metaheuristics. …”
Get full text
Get full text
Thesis -
4
Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
Published 2020“…In the present work, Two Heuristic Algorithms are modelled and the best algorithm among those two Heuristics is selected after few comparisons 3M to 5M, this can optimize the scheduling processes up to 10x10 jobs i.e. 10 machines and 10 jobs. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
Get full text
Get full text
Final Year Project -
6
Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network
Published 2020“…Besides that, another limitation that exists in previous researches is the absence of parameter optimization for the classifier. Thus, this paper proposed metaheuristic algorithms such as Particle Swarm Optimization, Ant Colony Algorithm and Harmony Search Algorithm based feature selection to identify the most significant features of skeleton remains. …”
Get full text
Get full text
Get full text
Article -
7
Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
Get full text
Get full text
Get full text
Article -
8
Group formation using genetic algorithm
Published 2009Get full text
Get full text
Get full text
Get full text
Monograph -
9
Network game (Literati) / Chung Mei Kuen
Published 2003“…The possible applications of multimedia-networked system are endless, as the demand to support interactive communication among groups of users has increased significantly. …”
Get full text
Get full text
Thesis -
10
Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review
Published 2024journal::journal article -
11
Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…The best algorithm will not be the same for all the data sets. …”
Get full text
Get full text
Book Section -
12
A hybrid deep learning-based unsupervised anomaly detection in high dimensional data
Published 2022“…However, Adamax optimization algorithm showed the best results when employed to train the DANN model. …”
Get full text
Get full text
Article -
13
-
14
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. The proposed method can be applied in smart cities, monitoring, health delivery, augmented reality, and gaming among others.…”
Get full text
Get full text
Article -
15
-
16
Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…Types of attacks can be Ping of Death, flooding, remote-controlled attacks, UDP flooding, and Smurf Attacks. Attack data was obtained from the ClaMP dataset, which has an unbalanced data set, and has very high noise, so it is necessary to analyze data packets in network logs and optimize feature extraction which is then analyzed statistically with machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
17
A Method for Mapping XML DTD to Relational Schemas In The Presence Of Functional Dependencies
Published 2008“…To approach the mapping problem, three different components are explored: the mapping algorithm, functional dependency for XML, and implication process. …”
Get full text
Get full text
Thesis -
18
Prediction of payment method in convenience stores using machine learning
Published 2023“…The dataset used in this study was collected from a diverse sample of the Indonesian population, reflecting the multifaceted nature of payment behaviors in the region. The Random Forest algorithm was employed due to its robustness in handling complex, high-dimensional data, and its ability to provide reliable predictions. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
The advancement of artificial intelligence's application in hybrid solar and wind power plant optimization: a study of the literature
Published 2024“…Our findings underscore prevalent methodologies such as computational modellingutilizing software suites like MATLAB/Simulink, HOMER, and others to derive empirical data. Additionally, parametric analyses emerge as the predominant approach, characterized by the application of algorithms such as Particle Swarm Optimization (PSO), Fuzzy Logic Control (FLC), and Genetic Algorithms (GA), among others. …”
Get full text
Get full text
Get full text
Get full text
Article -
20
Application Of Bibliometric Analysis on Root Growth Algorithm
Published 2024“…The root growth algorithm has often been used to solve challenging optimization issues. …”
Get full text
Get full text
Get full text
Get full text
Article
