Search Results - (( data normalization search algorithm ) OR ( java application learning algorithm ))
Search alternatives:
- application learning »
- data normalization »
- learning algorithm »
- java application »
- search »
-
1
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
2
-
3
A hybrid Method Of Centroid-Based Clustering And Meta-Heuristic For Personalized Web Search
Published 2024thesis::doctoral thesis -
4
Pairwise test suite generator tool based on harmony search algorithm (HS-PTSGT)
Published 2014“…However, exhaustive testing that required lot of time and financial resources is normally impossible. This thesis is about the research on developing a pairwise test suite generator tool based on Harmony Search Algorithm (HS-PTSGT) to generate optimum test suite. …”
Get full text
Get full text
Undergraduates Project Papers -
5
A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation
Published 2023“…Grid search cross validation (CV) is applied for hyperparameter tuning of the algorithms. …”
Get full text
Get full text
Get full text
Article -
6
Optimal Placement of Phasor Measurement Unit (PMU) using genetic algorithm & cuckoo search algorithm
Published 2025“…The IEEE 57-bus test system is used as the benchmark model for algorithm evaluation. Two algorithms, Genetic Algorithm (GA) and Cuckoo Search Algorithm (CSA), are implemented and tested under normal operating conditions and with the consideration of Zero Injection Buses (ZIBs). …”
Get full text
Get full text
Get full text
Proceeding Paper -
7
-
8
A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…The obtained results were compared with the BH and previous optimization algorithms for both test functions as well as data clustering in terms of normal and high dimensional datasets. …”
Get full text
Get full text
Thesis -
9
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In this research work, a modified backpropagation neural network is combined with a modified chaos-search genetic algorithm for STLF of one day and a week ahead. …”
Get full text
Get full text
Thesis -
10
Whale optimization algorithm based on tent chaotic map for feature selection in soft sensors
Published 2025“…Irrelevant features in data collected from oil refineries affect system performance due to conflicts between normal data and detected faults. …”
Get full text
Get full text
Get full text
Article -
11
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…The proposed algorithm is grounded on the two famous metaheuristic algorithms: cuckoo search (CS) and covariance matrix adaptation evolution strategy (CMA-es). …”
Get full text
Get full text
Thesis -
12
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
14
PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…PSO is a swarm-based search algorithm perform a stochastic search to explore the search space. …”
Get full text
Get full text
Thesis -
15
Short term forecasting based on hybrid least squares support vector machines
Published 2018“…Later, the performance of each identified hybrid algorithm is analyzed and discussed. From the simulations, it is demonstrated that all the identified algorithms are able to produce better forecasting result by using normalized time series data.…”
Get full text
Get full text
Get full text
Article -
16
Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal
Published 2022“…In this research, Cuckoo Search Spring Algorithm (CSSA) is proposed to enhance the robustness of algorithm by constructing the optimal network reconfiguration consist of reducing power losses and improve voltage profile with the various loadability factor as the constraint according to load profile, based on single and multiobjective model. …”
Get full text
Get full text
Thesis -
17
The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool
Published 2008“…The goal of this project is to test on tardiness parameter in local search based algorithms. A good scheduling algorithm normally shows lower value of total tardiness and schedule time. …”
Get full text
Get full text
Get full text
Thesis -
18
Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification
Published 2017“…The first improvement involves changes in the operational structure of GA in which it concentrates the search in highly potential area in the search region. …”
Get full text
Get full text
Thesis -
19
-
20
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text
Thesis
