Search Results - (( data identification method algorithm ) OR ( parallel selection method algorithm ))
Search alternatives:
- identification method »
- data identification »
- parallel selection »
- method algorithm »
- selection method »
-
1
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
Get full text
Get full text
Get full text
Article -
2
Parallel algorithms on some numerical techniques using PVM platform on a cluster of workstations
Published 2002“…In this paper, a few parallel algorithms are explained in solving one dimensional heat model problem using Parallel Virtual Machine (PVM). …”
Get full text
Get full text
Get full text
Get full text
Article -
3
-
4
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…To implement the parallel algorithms a distributed parallel computing laboratory using easily available low cost computers is setup. …”
Get full text
Get full text
Thesis -
5
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
6
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 -
7
Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network
Published 2014“…To conclude, multi objective parallel genetic algorithm can automatically tune feed forward neural network to classify the dataset with a good classification rate.…”
Get full text
Get full text
Thesis -
8
Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…System identification is a method of determining a mathematical relation between variables and terms of a process based on observed input-output data. …”
Get full text
Get full text
Get full text
Article -
9
Date store management in sliding window based on-line identification algorithms
Published 2001“…Sliding window identification algorithms use information from a store of data to optimise on-line learning. …”
Get full text
Get full text
Conference or Workshop Item -
10
The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Therefore, we develop a Parallel Fuzzy C-Median Clustering Algorithm Using Spark for Big Data that can handle large datasets while maintaining high accuracy and scalability. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
Guided genetic algorithm for solving unrelated parallel machine scheduling problem with additional resources
Published 2022“…Additionally, an appropriate selection of GA operators was also experimented. The guide genetic algorithm (GGA) is not used to solve the unspecified dynamic UPMR. …”
Get full text
Get full text
Get full text
Article -
12
Data mining based damage identification using imperialist competitive algorithm and artificial neural network
Published 2018“…In this study, to predict the damage severity of sin-gle-point damage scenarios of I-beam structures a data mining based damage identification framework and a hybrid algorithm combining Artificial Neural Network (ANN) and Imperial Competitive Algorithm (ICA), called ICA-ANN method, is proposed. …”
Get full text
Get full text
Article -
13
Evapotranspiration prediction using system identification and genetic algorithm
Published 2012Get full text
Working Paper -
14
System identification using Extended Kalman Filter
Published 2017“…Besides, Extended Kalman Filter (EKF) algorithm was selected in this project as an algorithm for offline estimation data purposes. …”
Get full text
Get full text
Student Project -
15
ROA-CONS: raccoon optimization job scheduling
Published 2021“…In comparison with other well-known job scheduling algorithms, the simulation assesses the effectiveness of the proposed method. …”
Get full text
Get full text
Article -
16
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
Get full text
Get full text
Article -
17
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…he genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
Get full text
Get full text
Article -
18
Biometric identification with limited data set
Published 2019Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
19
Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. 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 -
20
Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…A square aluminium plate experimental rig with a gradient of 30° and all edges clamped were designed and fabricated to acquire input-output vibration data experimentally. This input-output data was then applied in a system identification method, which used an evolutionary algorithm with a linear autoregressive with exogenous (ARX) model structure to generate a dynamic model of the system. …”
Get full text
Get full text
Get full text
Get full text
Article
