Search Results - (( a distribution rate algorithm ) OR ( parameters estimation mining algorithm ))
Search alternatives:
- parameters estimation »
- distribution rate »
- estimation mining »
- mining algorithm »
- a distribution »
- rate algorithm »
-
1
Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
Get full text
Get full text
Get full text
Thesis -
2
Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
Get full text
Get full text
Article -
3
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…For its fast convergence and for its efficient search procedure, the self-adaptation is proposed in the parameters of the proposed hybrid algorithm. The effectiveness of this algorithm is verified by applying it on the unconstrained and constrained test functions through a simulation study. …”
Get full text
Get full text
Thesis -
4
Optimum MV Feeder Routing and Substation siting and rating in Distribution Network
Published 2014Get full text
Get full text
Conference or Workshop Item -
5
-
6
Prediction of Temerloh River water level for prediction of flood using Artificial Neural Network (ANN) method
Published 2015“…The purpose of this project is to research more about the flood occurrence in Temerloh, Pahang. The data mining approaches using artificial neural network (ANN) techniques will be use to conduct this research for flood estimation. …”
Get full text
Get full text
Undergraduates Project Papers -
7
Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
Published 2015“…The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. …”
Get full text
Get full text
Get full text
Get full text
Article -
8
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…To enhance the selection of most highly ranking features, irrelevant features are ‘pruned’ based on determined boundary threshold. In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. …”
Get full text
Get full text
Thesis -
9
Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…This current study proposes an intelligent data mining approach for the Machine Learning- Adaptive Distance Relay (ML-ADR) fault classification model using novel extracted 1-cycle transient voltage and current signals hidden knowledge from both healthy and faulty lines parameters. …”
Get full text
Get full text
Thesis -
10
Traffic management algorithms for LEO satellite networks
Published 2016“…The important parameters measured in the simulation are delay rate, throughput rate and fair traffic distribution rate. …”
Get full text
Get full text
Get full text
Thesis -
11
Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network
Published 2015“…This research describes a novel distributed observer algorithm which uses augmented sliding mode control element to compensate for clock skew for wireless sensor network (WSN), in the world of Internet of Things (IoT). …”
Get full text
Get full text
Thesis -
12
-
13
Static and self-scalable filter range selection algorithms for peer-to-peer networks
Published 2011“…The static filter range selection algorithm and the self-scalable selection algorithm are able to reduce the number of rounds and the number of messages needed, increase the success rate but longer execution time compared to the Loo (2005) selection algorithm. …”
Get full text
Get full text
Thesis -
14
Dynamic replication aware load blanced scheduling in distributed environment / Said Bakhshad
Published 2018“…Grid computing is an effective distributed and adaptable processing network that manages a huge number of data applications. …”
Get full text
Get full text
Get full text
Thesis -
15
Mining The Basic Reproduction Number (R0) Forecast For The Covid Outbreak
Published 2022“…Waikato Environment for Knowledge Analysis (WEKA) version 3.8 was adopted for data mining analysis at two levels of classification stages. …”
Get full text
Get full text
Monograph -
16
Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Through the result comparisons, we demonstrate the significance of cooperative detection mechanism, for detecting distributed denial of service attacks in a timely and energy-efficient manner, accuracy of detection and defence, as well as false alarm rate.…”
Get full text
Get full text
Thesis -
17
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…The DG units have to be allocated with optimal sizes in the network to reach maximum efficacy. A new meta-heuristic optimization technique called the Slime Mould Algorithm (SMA) approach has a high convergence rate or a few iterations and superior optimization indices analyzed against other algorithms. …”
Get full text
Get full text
Thesis -
18
An Improved Distributed Scheduling Algorithm for Wireless Sensor Networks
Published 2012“…Simulation results show that the IDSA significantly outperforms a representative distributed random slot assignment algorithm (DRAND).…”
Get full text
Get full text
Conference or Workshop Item -
19
-
20
Improved performance in distributed estimation by convex combination of DNSAF and DNLMS algorithms
Published 2022“…In this paper, the overall performance is improved by combining these algorithms. Convex combination of DNLMS / DNSAF has a quick convergence rate and little steadystate error. …”
Get full text
Get full text
Get full text
Get full text
Proceedings
