Search Results - (( data deviation selection algorithm ) OR ( java application stemming algorithm ))
Search alternatives:
- application stemming »
- deviation selection »
- selection algorithm »
- stemming algorithm »
- java application »
- data deviation »
-
1
A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
Published 2016“…Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable. …”
Get full text
Get full text
Get full text
Article -
2
A standard deviation selection in evolutionary algorithm for grouper fish feed formulation
Published 2016“…Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment.Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price.However, the demand of grouper fish is still insufficient from the wild catch.Therefore, there is a need to farm grouper fish to cater to the market demand.In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available.Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm.Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation.Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable.The feasible and low fitness, quick solution can be obtained. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Fault diagnostic algorithm for precut fractionation column
Published 2004“…Hazard and Operability Study (HAZOP) is used to support the diagnosis task. The algorithm has been successful in detecting the deviations of each variable by testing the data set. …”
Get full text
Get full text
Conference or Workshop Item -
4
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…The results on the model selection again signify that our proposed robust bootstrap model selection method is more robust than the classical bootstrap model selection.…”
Get full text
Get full text
Thesis -
5
Development of a rule-based fault diagnostic advisory system for precut fractionation column
Published 2005“…The system detected and diagnosed process deviations using the saved data and the set limit. Fault occurred if the data value was out of limits. …”
Get full text
Get full text
Thesis -
6
Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending
Published 2006“…To validate the finite element model physical experiments were conducted. A neural network algorithm based on the backpropagation algorithm has been developed. …”
Get full text
Get full text
Thesis -
7
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…In order to improve classification performance problem, feature selection and discretization algorithm are crucial in selecting relevant attributes that could improve classification performance. …”
Get full text
Get full text
Thesis -
8
Penalized LAD-SCAD estimator based on robust wrapped correlation screening method for high dimensional models
Published 2021“…The SIS method uses the rank correlation screening (RCS) algorithm in the pre-screening step and the traditional Pathwise coordinate descent algorithm for computing the sequence of the regularization parameters in the post screening step for onward model selection. …”
Get full text
Get full text
Get full text
Article -
9
Feature selection in intrusion detection, state of the art: A review
Published 2016“…By removing these irrelevant and redundant features accuracy of the learning algorithms can be increased. In this paper implementation of different feature selection techniques have been reviewed. …”
Get full text
Get full text
Article -
10
Implementation of machine learning algorithms for streamflow prediction of Dokan dam
Published 2023“…Dokan dam in Iraq was selected as the case study for this research. The data is collected from the ministry of agriculture and water resources, Kurdistan regional government, Iraq. …”
text::Thesis -
11
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
Get full text
Get full text
Thesis -
12
Enhancing high-dimensional streaming data analysis: optimizing Online Feature Selection for handling drift using optimization technique and ensemble learning
Published 2024“…In the era of data-driven decision-making, managing dynamic data streams characterized by evolving data distributions and high dimensionality presents a formidable challenge for online feature selection. …”
Get full text
Get full text
Thesis -
13
The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values
Published 2000“…The developed IT was used for all cases of algorithm testing. It is speculated that better correlation values can be obtained if more loading test data are available during the course of this study.…”
Get full text
Get full text
Thesis -
14
A study on advanced statistical analysis for network anomaly detection
Published 2005“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
Get full text
Monograph -
15
A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
Published 2021“…To overcome SVM drawback for noise data problem, WSVM using KPCM algorithm was used but WSVM using kernel-based learning algorithm such as KPCM algorithm suffer from training complexity, expensive computation time and storage memory when noise data contaminate training data. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
16
A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
Published 2021“…To overcome SVM drawback for noise data problem, WSVM using KPCM algorithm was used but WSVM using kernel-based learning algorithm such as KPCM algorithm suffer from training complexity, expensive computation time and storage memory when noise data contaminate training data. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
17
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
Get full text
Get full text
Thesis -
18
A multi-objective portfolio selection model with fuzzy Value-at-Risk ratio
Published 2018“…Considering nonstatistical uncertainties and/or insufficient historical data in security return forecasts, fuzzy set theory has been applied in the past decades to build portfolio selection models. …”
Get full text
Get full text
Article -
19
A multi-objective portfolio selection model with fuzzy Value-at-Risk ratio
Published 2018“…Considering nonstatistical uncertainties and/or insufficient historical data in security return forecasts, fuzzy set theory has been applied in the past decades to build portfolio selection models. …”
Get full text
Get full text
Article -
20
An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…To demonstrate the feasibility of the technique, four selected datasets namely NIPS data, ENRON, Daily Koss blog, and 20Newsgroups were experimented on. …”
Get full text
Get full text
Get full text
Thesis