Search Results - (( data identification method algorithm ) OR ( data application using algorithm ))
Search alternatives:
- identification method »
- data identification »
- method algorithm »
- data application »
- using algorithm »
-
1
Recursive Subspace Identification Algorithm Using The Propagator Based Method
Published 2017“…Subspace model identification (SMI) method is the effective method in identifying dynamic state space linear multivariable systems and it can be obtained directly from the input and output data. …”
Get full text
Get full text
Get full text
Article -
2
Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. …”
Get full text
Get full text
Conference or Workshop Item -
3
Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…Second, to develop novel techniques that combine the strengths of normalisation, feature engineering and data augmentation to address the problem of dimensionality, feature dominance and sparsity in colorectal cancer identification based on gut microbiome data, using deep neural network algorithms. …”
Get full text
Get full text
Get full text
Thesis -
4
Application of multivariate data analysis for rapid identification of flavonoids classes
Published 2016“…Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol. …”
Get full text
Get full text
Proceeding Paper -
5
Orthogonal least square algorithm and its application for modelling suspension system
Published 2001“…The information obtained from the model could be used for investigation and analysis. Modelling based on input and output data is known as system identification. …”
Get full text
Get full text
Get full text
Article -
6
Characterization And Classification Of Bioactive Compound In Natural Products By FTIR And Multivariate Data Analysis
Published 2018“…Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol. …”
Get full text
Get full text
Monograph -
7
Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques
Published 2006“…A high speed data acquisition card DAS1800HC is used to interface the sensors to a personal computer which processes the data using linear back projection algorithm (LBPA) and filtered back projection algorithm (FBPA). …”
Get full text
Get full text
Thesis -
8
Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
Published 2020“…A modified threshold-based technique was used to build the FD algorithm based on data from PV system installed at GERC UiTM, Malaysia. …”
Get full text
Get full text
Thesis -
9
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
Get full text
Get full text
Get full text
Thesis -
10
Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria
Published 2018“…When come to large scale data problems, Maple software is used to solve it with ease.…”
Get full text
Get full text
Get full text
Article -
11
Identification of continuous-time hammerstein system using sine cosine algorithm
Published 2019“…This paper presents the development of identification of continuous-time Hammerstein systems based on Sine Cosine Algorithm (SCA). …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Improving the modeling capacity of Volterra model using evolutionary computing methods based on Kalman Smoother adaptive filter
Published 2015“…The applicability of the proposed methods is tested in three simulated data and one experimental data. …”
Get full text
Get full text
Article -
13
A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems
Published 2021“…The proposed hybrid method was used for identifying the parameters of linear and nonlinear subsystems in the Hammerstein model using the given input and output data. …”
Get full text
Get full text
Article -
14
Estimation in spot welding parameters using genetic algorithm
Published 2007“…Genetic algorithm (GA) used as parameter estimation method for a model structure. …”
Get full text
Get full text
Thesis -
15
A modified π rough k-means algorithm for web page recommendation system
Published 2018“…To date, many works have been addressed in investigating the use of data mining techniques (e.g., Clustering) in Web page application. …”
Get full text
Get full text
Get full text
Thesis -
16
-
17
Data mining in mobile ECG based biometric identification
Published 2014Get full text
Get full text
Get full text
Article -
18
An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…To achieve this objective, the research was divided into three phases, which consist of talent data identification and data preparation phase, algorithm development for prototype phase and testing and evaluation phase to identify the most suitable prediction model for talent prediction. …”
Get full text
Get full text
Research Reports -
19
Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…The identification of human activities such as stair ascending and descending poses a significant challenge due to the proximity of data provided by the sensory pathway. …”
Get full text
Get full text
Get full text
Get full text
Article -
20
Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks
Published 2008“…The fault identification prior to reclosing is based on optimized artificial neural network associated with standard Error Back-Propagation, Levenberg Marquardt Algorithm and Resilient Back-Propagation training algorithms together with Taguchi’s Method. …”
Get full text
Get full text
Conference or Workshop Item
